JP2012088920A - Information processing program, information processing method and information processor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing program for enabling a user to more easily execute CAE analysis.SOLUTION: A CAE analysis device 20 is configured to arrange structure data name designation columns for designating structure data and excitation condition input areas for inputting variation conditions to be applied to the structure on one picture, to display an analysis condition setting picture 40 for inputting a set value corresponding to each of those respective areas, and to, when the structure data are designated, and variation conditions such as variation items and variation values are input, change and generate input content in the format of analysis condition data 25d defined in a CAE analysis execution program 25e on the basis of excitation origin condition data 25b of the format recognizable by a user and the input content. In this case, the analysis condition data 25d may be the data of such a format that a temporal value and/or a frequency value and the variation value are mixed, arranged and displayed. Also, the analysis condition setting picture 40 may be configured such that a plurality of input areas are arranged on one picture according to an input procedure.

Description

  The present invention relates to an information processing program, an information processing method, and an information processing apparatus.

  Conventionally, information processing devices include multiple application tools such as a strength calculation simulator that calculates the structural strength of an object to be simulated, an analysis tool that analyzes the strength calculation result, and a fluid calculation simulator that performs fluid calculation around the object. An apparatus including a system agent that issues a command to the apparatus has been proposed (see, for example, Patent Document 1). In this apparatus, the system agent rewrites the request input by the user into the input format of the application tool corresponding to the request based on a predetermined rule, and issues the rewritten content to the application tool. Therefore, the simulation can be performed without the user knowing the detailed specifications of the tool.

JP 2004-302948 A

  By the way, when performing CAE (Computer Aided Engineering) analysis such as the structural strength of an object, for example, time lapse or frequency and displacement are given as analysis conditions, and a change in structure or the like is commercially available based on the analysis conditions. It may be analyzed by a simulation program. In such a case, it is necessary to create analysis condition data in the format defined by the simulation program, which requires specialized knowledge such as data arrangement, and it takes a long time to create analysis condition data. It may not be easy to perform a CAE analysis.

  The present invention has been made in view of such problems, and a main object of the present invention is to provide an information processing program, an information processing method, and an information processing apparatus that allow a user to easily perform CAE analysis.

  The present invention adopts the following means in order to achieve the main object described above.

The information processing program of the present invention
An information processing program for supporting execution condition input of a CAE analysis execution program, which is a program for CAE analysis of a structure by a finite element method,
A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure. A display control module that displays an analysis condition setting screen that can be set on one screen and can be input with setting values corresponding to each area;
In the analysis condition setting screen, the structure data is specified by the user in the structure data specification area, and the change item and the change value are in a format that allows the user to recognize the relationship between the change item and the change value used for CAE analysis. Based on the input content and the variation source condition data, after the user has input the variation item and variation value information stored in the variation source condition data stored in the variation condition input area. The analysis condition for generating the analysis condition data by changing the description state of the variation value to the format of the analysis condition data defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program A data generation module;
An output module for outputting the generated analysis condition data;
It is equipped with.

  This information processing program arranges a structure data designation area for designating structure data and a fluctuation condition input area for inputting a fluctuation condition given to the structure on one screen, and sets a setting value corresponding to each area. Display the input analysis condition setting screen. Next, on the analysis condition setting screen, after the structure data is specified by the user and the fluctuation conditions such as the fluctuation item and fluctuation value are entered by the user, the user recognizes based on the input contents and the fluctuation source condition data. The variable source condition data in a possible format is generated by changing to the analysis condition data format. Then, the generated analysis condition data is output. In this way, since the variation source condition data in a format that can be recognized by the user is used, the variation source condition data can be created more easily. Further, since the analysis condition data is output from the variation source condition data in accordance with the format of the CAE analysis execution program, for example, the analysis condition data can be created more easily than when manually performed by the user. Therefore, the user can execute the CAE analysis more easily. Here, the variation source condition data may be artificially created data or data obtained by measuring an actual structure. Further, the variation item may correspond to the position of the structure to which the variation value is given.

  The information processing program of the present invention may be realized by one or more computers. That is, this information processing program may be executed by a single computer, or may be executed by sharing each step among a plurality of computers. The information processing program may be recorded on a computer-readable recording medium (for example, a hard disk, ROM, FD, CD, DVD, etc.) or via a transmission medium (communication network such as the Internet or a LAN). It may be distributed from one computer to another, or may be exchanged in any other form.

  In the information processing program of the present invention, when the analysis condition data generation module generates the analysis condition data, the time value and / or frequency value of the fluctuation value and the fluctuation value are arranged and displayed for each fluctuation item. From the possible variation source condition data, the analysis condition data defined in the CAE analysis execution program and displayed by arranging the time value and / or frequency value and the variation value together are displayed as the time value and / or The analysis condition data may be generated by rearranging the arrangement of the frequency values and the fluctuation values. In this way, since it is easy to confirm the time value of the fluctuation value, the relationship between the frequency value and the fluctuation value, etc., it is easy to create fluctuation source condition data. In addition, in this way, when it is difficult to create analysis condition data defined in the CAE analysis execution program in which a sequence of time values, frequency values, and variation values is mixed, analysis condition data can be created more easily. And by extension, the user can perform CAE analysis more easily.

  In the information processing program of the present invention, the variation condition input area of the analysis condition setting screen includes an input cell including node information, a variation direction, a variation type, and a reference column of variation values of the variation source condition data of the structure. It may be arranged in a matrix. By doing so, it is easier for the user to confirm the input position of the variation condition, the analysis condition data can be created more easily, and the user can more easily execute the CAE analysis. Here, the node information of the structure may be associated with the position of the structure to be changed.

  In the information processing program of the present invention, on the analysis condition setting screen, an analysis type setting area for setting a type for performing CAE analysis, and a constraint condition additional input capable of inputting a constraint condition for the structure corresponding to the analysis type The analysis condition data generation module sets the analysis type in the analysis type setting area after the analysis type is set by the user and the constraint condition is input by the user in the constraint condition additional input column. The analysis condition data may be generated using the input analysis type and the input constraint condition. In this way, for example, even if the constraint condition is not set on the structure data side, the constraint condition can be set on the analysis condition data side, so there is no change in the constraint condition on the structure data side. Therefore, the user can perform the CAE analysis more easily.

  In the information processing program of the present invention, the analysis condition setting screen includes a calculation range setting area for setting a range for performing the calculation of CAE analysis, and a predicted capacity that is a predicted value of the data capacity of the calculation result obtained by executing the CAE analysis. A predicted capacity display field to be displayed, and when the calculation range is input by the user in the calculation range setting area, the analysis condition data generation module predicts including a correspondence relationship between the calculation range and the predicted capacity The predicted capacity corresponding to the calculation range may be obtained using the capacity correspondence information and the calculation range, and the display control module may display the obtained predicted capacity in the predicted capacity display column. In CAE analysis, depending on the calculation range, it may take an unexpectedly long time to obtain a calculation result, or the calculation result may have an unexpectedly large data capacity. Here, since the predicted capacity is displayed using the predicted capacity correspondence information, it is easy to determine the validity of the calculation range without specialized knowledge, and thus the user can more easily execute the CAE analysis. At this time, an output element setting area for setting contents to be output by CAE analysis is arranged on the analysis condition setting screen, and the analysis condition data generation module is configured such that the output element is set by the user in the output element setting area. After the input, the predicted capacity corresponding to the calculation range may be obtained using the predicted capacity correspondence information, the calculation range, and the information of the output element. In CAE analysis, the calculation time and data capacity may be affected depending on the type of output element. Here, since the predicted capacity is displayed in consideration of the output element, the validity of the output element can be more easily determined without specialized knowledge, and thus the user can perform the CAE analysis more easily. Here, when the predicted capacity corresponding to the calculation range is obtained using the predicted capacity correspondence information, the calculation range, and the information of the output element, the predicted capacity correspondence information for each of a plurality of output elements. And the calculation range may be used to obtain a predicted capacity for each output element, and the predicted capacity may be added to obtain a predicted capacity that is a predicted value of the data capacity of the calculation result.

  In the information processing program of the present invention, the analysis condition setting screen uses information relating to the fluctuation item and fluctuation value among the currently input CAE analysis execution conditions, and the fluctuation condition storing information relating to the fluctuation item and fluctuation value. A save execution key for saving and executing data is arranged, and the analysis condition data generation module stores information on the change items and change values stored in the change source condition data for the change condition input area. When the storage execution key is pressed, the fluctuation condition data may be created and saved using information on the fluctuation item and fluctuation value among the currently input CAE analysis execution conditions. In this way, since the current fluctuation item and fluctuation value can be used later, the analysis condition data can be created more easily, and the user can more easily execute the CAE analysis. it can. Here, the “key” refers to, for example, an image such as a button or an icon that starts a predetermined process in response to a selection operation of the input device such as a mouse click or a keyboard enter key press. , Including characters such as hyperlinks. The variation condition data may be stored in a storage unit capable of storing data. At this time, on the analysis condition setting screen, a read execution key for reading the variation condition data already stored is arranged, and the analysis condition data generation module, when the read execution key is pressed, Information on the fluctuation item and fluctuation value stored in the saved fluctuation condition data may be read and the read information may be input to the fluctuation condition input area. In this way, since the fluctuation item and the fluctuation value can be input to the analysis condition data using the fluctuation condition data, the analysis condition data can be created more easily, and the user can easily perform the CAE analysis. Can be executed. At this time, after pressing the read execution key, a menu capable of selecting one or more variation condition data is displayed, and the contents of the variation condition data selected from the menu may be read and input to the variation condition input area.

  In the information processing program of the present invention, the analysis condition setting screen is an analysis for setting a structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a type for performing CAE analysis. A type setting area, a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure, a calculation range setting area for setting a CAE analysis calculation range, and contents output by the CAE analysis An output element setting area for setting the structure data specifying area, the analysis type setting area, the variation condition input area, and the calculation range setting area or the output element setting area according to an input procedure. It is good also as what is arrange | positioned. In this way, it is easy to input each set value, and analysis condition data can be created more easily. In addition, for example, it is easier to confirm the content than that for switching a plurality of screens, and the user's operation can be further suppressed. At this time, each area is not particularly limited as long as it is arranged according to the input procedure, and may be arranged in order from the upper stage to the lower stage, or may be arranged in order from the left side to the right side. Alternatively, they may be arranged in order from the right side to the left side. In addition, either the calculation range setting area or the output element setting area may be arranged first.

The information processing method of the present invention includes:
An information processing method for supporting execution condition input of a CAE analysis execution program which is a program for CAE analysis of a structure by a finite element method,
(A) A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure And displaying an analysis condition setting screen on which a set value corresponding to each area can be input,
(B) In the analysis condition setting screen, the structure data is designated by the user in the structure data designation area, and the relation between the fluctuation item used for the CAE analysis and the fluctuation value is recognized by the user in a format that can be recognized by the user. After the fluctuation item and fluctuation value information stored in the fluctuation source condition data storing the fluctuation value is input by the user to the fluctuation condition input area, the input content, the fluctuation source condition data, The analysis condition data is generated by changing the description state of the fluctuation value to an analysis condition data format defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program. And steps to
Outputting the generated analysis condition data;
Is included.

  Since this information processing method uses variation source condition data in a format that can be recognized by the user, similarly to the information processing program described above, the variation source condition data can be created more easily. Further, since the analysis condition data is output from the variation source condition data in accordance with the format of the CAE analysis execution program, for example, the analysis condition data can be created more easily than when manually performed by the user. Therefore, the user can execute the CAE analysis more easily. In this information processing method, various aspects of the information processing program described above may be adopted, and steps for realizing each function of the information processing program described above may be added.

The information processing apparatus of the present invention
An information processing apparatus for supporting execution condition input of a CAE analysis execution program which is a program for CAE analysis of a structure by a finite element method,
Display means for displaying an image;
A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure. Display control means for displaying on the display means an analysis condition setting screen arranged on one screen and capable of inputting set values corresponding to the respective areas;
In the analysis condition setting screen, the structure data is specified by the user in the structure data specification area, and the change item and the change value are in a format that allows the user to recognize the relationship between the change item and the change value used for CAE analysis. Based on the input content and the variation source condition data, after the user has input the variation item and variation value information stored in the variation source condition data stored in the variation condition input area. The analysis condition for generating the analysis condition data by changing the description state of the variation value to the format of the analysis condition data defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program Data generation means;
Output means for outputting the generated analysis condition data;
It is equipped with.

  Since this information processing apparatus uses variation source condition data in a format that can be recognized by the user, similarly to the information processing program described above, the variation source condition data can be created more easily. Further, since the analysis condition data is output from the variation source condition data in accordance with the format of the CAE analysis execution program, for example, the analysis condition data can be created more easily than when manually performed by the user. Therefore, the user can execute the CAE analysis more easily. In this information processing apparatus, various aspects of the above-described information processing program may be adopted, and a configuration that realizes each function of the above-described information processing program may be added.

  The information processing apparatus according to the present invention may include a CAE analysis executing unit that performs CAE analysis of the structure by a finite element method using the analysis condition data and the structure data.

The block diagram which shows the outline of a structure of the CAE analyzer 20 which is one Embodiment of this invention. The block diagram which shows an example of a function structure of an application program. An explanatory view showing the outline of composition of exhaust pipe model 10 of a car. The flowchart showing an example of an analysis condition data generation routine. An explanatory view showing an example of analysis condition setting screen 40. FIG. FIG. 6 is an explanatory diagram illustrating an example of an analysis type setting screen. FIG. 6 is an explanatory diagram illustrating an example of an output element setting screen 80. Explanatory drawing of the analysis condition setting screen 40 in which CAE analysis conditions have been set. 4 is a conceptual diagram showing an outline of setting contents on an analysis condition setting screen 40. FIG. Explanatory drawing showing an example of the produced | generated analysis condition data 25d. The flowchart showing an example of a CAE analysis execution routine. Explanatory drawing of the analysis result showing an example of the displacement progress in the exhaust pipe model 10. FIG.

  Next, the best mode for carrying out the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram showing an outline of the configuration of a CAE analysis apparatus 20 as an information processing apparatus according to an embodiment of the present invention. FIG. 2 is a block diagram showing an example of a functional configuration of an application program. FIG. 3 is an explanatory diagram showing the outline of the configuration of the exhaust pipe model 10 of the automobile. The CAE analyzer 20 has a function of obtaining and displaying displacement, stress, acceleration, and the like according to the position of the structure by calculation. Here, as an example of a specific example, the exhaust pipe model 10 shown in FIG. 3 is used as a structure, and the displacement of a predetermined position (node) with the passage of time is analyzed, and the durability of the exhaust pipe of an automobile is grasped. The case where it does is demonstrated.

  As shown in FIG. 1, the CAE analyzer 20 is a general-purpose personal computer configured as an information processing apparatus, and is a controller 21 that controls the entire apparatus, and a large-capacity memory that stores various application programs and various data files. Storage device 25. The controller 21 is configured as a microprocessor centered on the CPU 22, and includes a flash ROM 23 capable of storing and erasing information and storing various application programs and various data files, and a RAM 24 temporarily storing data. Yes. The RAM 24 is provided with a buffer for temporarily storing data calculated by the CPU 22. The CAE analysis device 20 includes an input device 27 such as a keyboard and a mouse for a user to input various commands, a display 28 for displaying various information on a screen, and the user inputs a cursor displayed on the display 28. 27 has a function of executing an operation corresponding to the input operation when an input operation is performed through the control unit 27. The controller 21, the storage device 25, the input device 27, and the display 28 are electrically connected by a bus 29 so that various control signals and data can be exchanged. The storage device 25 may be any device that can store information, such as an HDD, a flash memory, or a NAS.

  The storage device 25 stores structure data 25a, excitation source condition data 25b, analysis condition data generation program 25c, analysis condition data 25d, CAE analysis execution program 25e, CAE analysis result data 25f, and the like. The storage device 25 also stores an analysis condition setting screen 40, an analysis type setting screen 70, an output element setting screen 80, and the like as screens to be displayed on the display 28. The structure data 25a is data of a structure to be subjected to CAE analysis, and is created in advance by defining the existence point of the structure material in the three-dimensional space (see FIG. 3). Here, description will be made assuming that the structure data 25a of the exhaust pipe model 10 is stored in the storage device 25, but in addition, a plurality of types of structure data of a plurality of types of exhaust pipe models may be stored. The vibration source condition data 25b can be displayed in a format that allows the user to recognize the relationship between the fluctuation item and the fluctuation value used in the CAE analysis, specifically, the fluctuation value and its time value are arranged for each item. Stored data. Here, a plurality of predetermined positions of the exhaust pipe are set as fluctuation items, and a displacement value at each position is set as a fluctuation value. The excitation source condition data 25b is data obtained by measuring the displacement at a predetermined position with an actual vehicle using an actual exhaust pipe of the exhaust pipe model 10. The excitation source condition data 25b is not limited to this, but may be artificially created by the user. The analysis condition data generation program 25c defines analysis condition data defined by the CAE analysis execution program 25e and describing the CAE analysis execution conditions of the CAE analysis execution program based on the structure data 25a and the excitation source condition data 25b. This is a program to be generated. The analysis condition data 25d is data whose format is defined by the CAE analysis execution program 25e, and is data used when the CAE analysis execution program 25e executes CAE analysis. As will be described in detail later, the analysis condition data 25d is displayed in a mixed arrangement of time values and fluctuation values, and is a fluctuation item for users who do not have specialized knowledge of the data format. It is a format that cannot easily recognize the relationship between and the fluctuation value. In the analysis condition data 25d, an excitation condition that describes the data definition area 16 in which the set analysis type and output element are described, and an excitation condition that describes what displacement is added to which position of the structure. A description area 17 and a parameter area 18 in which file names of parameter definitions and structure data 25a are described are stored (see FIG. 10 described later). The CAE analysis execution program 25e is a program for CAE analysis of a structure by the finite element method using the structure data 25a and the analysis condition data 25d. This program may be, for example, Nastran. The CAE analysis result data 25f is data storing the result of executing the CAE analysis. By analyzing this data, the behavior of each structure in the position can be grasped.

  Further, as shown in FIG. 2, the CAE analysis device 20 includes, as functional configurations, an analysis condition data generation unit 38 configured by a command content processing unit 31 and a numerical string conversion unit 36, input condition correspondence information 32, predicted capacity. Corresponding information 33, excitation matrix data 34, display control unit 35, data output unit 37, and the like are included. The command acquisition unit 30 performs a process of acquiring a command input by the user using the input device 27 or the like and outputting the acquired command content to the command content processing unit 31. The command content processing unit 31 receives the command content received from the command acquisition unit 30 using the structure data 25a, the excitation source condition data 25b, the input condition correspondence information 32, the predicted capacity correspondence information 33, the excitation matrix data 34, and the like. Data processing is performed. The input condition correspondence information 32 is information in which input units are associated with types to be input as fluctuation values, for example, load (LOAD), displacement (DISP), velocity (VELO), acceleration (ACCE), and the like. Used to display the unit according to the set input type. The predicted capacity correspondence information 33 is information in which a calculation range (for example, the number of calculation points) in the CAE analysis is associated with a data capacity of the calculation result, and a predicted value of the data capacity of the calculation result based on the analysis condition ( This is used when calculating the predicted capacity. The excitation matrix data 34 is data in which the excitation conditions including the time value and the fluctuation value of the fluctuation value in the analysis condition data 25d are stored in a format that can be displayed in the form of a matrix. This data is used when CAE analysis is performed on a plurality of structures under one excitation condition. The display control unit 35 performs processing to display and output the screen stored in the storage device 25 on the display 28 based on the command received from the command content processing unit 31. Based on the command from the command content processing unit 31, the numeric string conversion unit 36 performs a numeric string conversion process from the excitation source condition data 25b to the analysis condition data 25d in accordance with the definition of the CAE analysis execution program 25e. The data output unit 37 performs a process of saving the analysis condition data 25d generated by the numerical value string conversion unit 36, for example, as a file or outputting the data to another PC via a network (not shown). The analysis condition data generation unit 38 executes processing for generating analysis condition data 25d from the excitation source condition data 25b. In the CAE analysis device 20, upon receiving a CAE analysis execution command, an input command, or a display selection command, the command acquisition unit 30 outputs this command to the command content processing unit 31. In response to this, the command content processing unit 31 and the numerical value string conversion unit 36 appropriately use the structure data 25a, the excitation source condition data 25b, the input condition correspondence information 32, the predicted capacity correspondence information 33, the excitation matrix data 34, and the like. The processing contents corresponding to the command are executed. Then, the display control unit 35 and the data output unit 37 that have received the execution result perform display output or file output based on the execution result.

  Next, the analysis condition data 25d is generated from the excitation source condition data 25b regarding the operation of the CAE analysis apparatus 20 of the present embodiment thus configured, in particular, the displacement with the passage of time in the exhaust pipe model 10, and the CAE analysis is executed. Processing to be performed will be described. First, the structure data 25a is created from the structure of the exhaust pipe mounted on the actual vehicle. An example of the structure data 25a is shown in FIG. The structure data 25a describes the relationship between the node (GRID) and the position where the structure exists in the three-dimensional space in the format defined in the analysis condition data generation program 25c. In addition, information such as constraint conditions may be described. Next, the vibration source condition data 25b is created. Here, accelerometers are installed at multiple predetermined positions (positions corresponding to nodes) of the exhaust pipe mounted on the actual vehicle, and the actual displacement of each node is measured by actually running on rough roads. The vibration source condition data 25b in which the displacement values associated with is arranged for each node (variation item) is created (see the lower part of FIG. 9 described later). The displacement can be calculated by integrating the obtained acceleration twice. Here, as shown in FIG. 3, the displacement in the X direction, the Y direction, the Z direction, the RX direction, the RY direction, and the RZ direction is defined for GRID11, and the displacement in the Z direction is defined for GRID51 and 52. , GRID 53 and 54 are defined as displacements in the Z and Y directions. The prepared structure data 25a and excitation source condition data 25b are stored in the storage device 25. Subsequently, the analysis condition data 25d is generated using these data and the analysis condition data generation program 25c.

  FIG. 4 is a flowchart showing an example of an analysis condition data generation routine executed by the CPU 22 of the controller 21. This routine is stored in the storage device 25 and executed by the CPU 22 based on the input of a program execution command by the user. Note that the processing described below is performed by the command acquisition unit 30, the command content processing unit 31, the display control unit 35, the numerical value string conversion unit 36, the data output unit 37, and the like as appropriate according to the commands of the CPU 22. To do. When the analysis condition data generation routine of FIG. 4 is started, the CPU 22 first performs a process of displaying the analysis condition setting screen 40 on the display 28 (step S100).

  Here, the analysis condition setting screen will be described. FIG. 5 is an explanatory diagram illustrating an example of the analysis condition setting screen 40. In the analysis condition setting screen 40, a structure data name designation field 41 as a structure data designation area for designating structure data, and a calculation condition setting area 50 for setting execution conditions such as an excitation condition for executing CAE analysis. , A calculation range setting area 56 for setting a calculation range for executing the CAE analysis, for example, an output element setting area 62 for setting which element such as displacement, velocity and acceleration is output is arranged on one screen. The set value corresponding to the area can be input. The analysis condition setting screen 40 also includes a constraint number input field 42 for inputting a constraint number, a help key 43 that is pressed when displaying the help screen, and data in a format that allows the excitation conditions to be read in a matrix ( A table format saving key 44 that is pressed when saving as the excitation matrix data 34), a switching key 45 that is pressed when switching the type of the vehicle equipped with the exhaust pipe, and the like are arranged on the upper side of the screen. . In the analysis condition setting screen 40, a creation execution key 46 that is pressed when generating the analysis condition data 25d is arranged on the lower side of the screen. In the structure data name designation column 41, a reference key 41a for reading and referring to a structure data file stored in the storage device 25 is arranged, and can be designated by directly inputting a file name.

  In the calculation condition setting area 50, an analysis type setting key 51 as an analysis type setting area and an identifier of an analysis result are pressed when setting an analysis type for performing CAE analysis including analysis other than dynamic analysis and dynamic analysis. An analysis result identifier display field 52 to be displayed, an existing excitation condition reading key 53 that is pressed when reading the stored excitation matrix data 34, and the like are arranged. Note that “analysis other than dynamic analysis” refers to analysis that does not change every moment with respect to “dynamic analysis”, and includes, for example, static analysis. Further, in the calculation condition setting area 50, the excitation condition input area 54 as the fluctuation condition input area for inputting the vibration conditions including the node number and the fluctuation direction, and the position of the header row of the vibration source condition data 25b are input. A header column input field 55 to be set, a calculation range setting area 56 for setting a calculation range for CAE analysis, and the like are arranged. In the vibration condition input area 54, a node number input field 54a for inputting a node number, a direction input field 54b for inputting a direction of displacement, an input type setting field 54c for setting an input type as a variable item, an excitation source A data designation field 54d for designating a reference column of variation values in the condition data 25b, a confirmation input key 54e pressed when confirming the consistency of input data, and a magnification / phase / constraint for inputting how the variation values are given. A condition additional input field 54f and the like are arranged. When the input type is set by the user in the input type setting field 54c, the command content processing unit 31 reads out the unit corresponding to the input type given using the input condition correspondence information 32 and stores it in the input type setting field 54c. And display. By depressing the confirmation input key 54e, the unit of the input type setting field 54c and the display of the channel name in the data designation field 54d are updated, and it is possible to sequentially confirm the consistency of the input contents. In the magnification / phase / constraint condition additional input field 54f, a “magnification input field” for setting how the fluctuation value is given, a “phase delay input field” for artificially setting a part of the phase delay, and CAE analysis A “constraint condition addition input field” or the like in which the constraint condition of the structure corresponding to the type of the field can be input is arranged. For example, regarding the “magnification input field”, when the unit of the fluctuation value created in the excitation source condition data 25b is different from the unit of the fluctuation value specified in the input type setting field 54c, an appropriate magnification for unit alignment is used. The excitation source condition data 25b can be created without rewriting data. Next, the “constraint condition addition input field” will be described. For example, since the constraint condition may be changed according to the analysis type for performing the CAE analysis, the constraint condition may not be set on the structure data 25a side. In addition, when creating the structure data 25a, the setting of constraint conditions may be forgotten. Here, if a constraint condition is input in the constraint condition addition input field, the constraint condition is set on the analysis condition data 25d side, so that it is possible to omit the trouble of sequentially setting the constraint condition on the structure data 25a side. . The vibration condition input area 54 includes a node number as node information of the structure, a displacement direction as a fluctuation direction, an input type as a fluctuation type, and a reference string of fluctuation values in the vibration source condition data 25b. Input cells and the like are arranged in a matrix. For this reason, it is easier to confirm the contents stored in the excitation condition input area 54 by the user. The calculation range setting area 56 includes an excitation range input field 57 for setting the excitation range by the user, a value input field 58 for inputting the time value of the fluctuation value in the fluctuation item, and a natural mode for calculating the natural mode. A calculation input field 59, a step number display field 60 for displaying the number of calculation points obtained by dividing the excitation range by the step value, a predicted capacity display field 61 for displaying the predicted data amount of the CAE analysis execution result, and the like are arranged. Yes. When the user confirms the predicted capacity, the validity of the set calculation range can be confirmed more easily.

  In the output element setting area 62, an output element setting key 63 pressed when setting the output element, a displacement input field 64 for inputting a displacement parameter as an output element, and a stress input for inputting a stress parameter as an output element A column 65, an acceleration input column 66 for inputting acceleration parameters as output elements, and the like are arranged. The displacement input field 64 includes a displacement designation range input field 64a for designating a range of displacement and a calculation point display field 64b for displaying the number of calculation points in the inputted displacement range. Similarly, the stress input field 65 includes a stress designation range input field 65a and a calculation point display field 65b, and the acceleration input field 66 includes an acceleration designation range input field 66a and a calculation point display field 66b.

  In this analysis condition setting screen 40, a structure data name specifying field 41 as a structure data specifying area, an analysis type setting key 51 as an analysis type setting area, an excitation condition input area 54 for inputting a variation condition, A calculation range setting area 56 for setting a range for CAE analysis calculation and an output element setting area 62 for setting an output element are arranged on one screen in order from the upper level to the lower level according to the input procedure. That is, since the user only has to input each set value in order from the top, it is possible to input efficiently. This analysis condition setting screen 40 is displayed and each set value is input.

  When the analysis condition setting screen 40 is displayed in step S100, the CPU 22 determines whether or not there is an input from the user based on the operation of the input device 27 (step S110). When there is no input, the CPU 22 waits as it is, and when there is an input, the CPU 22 determines whether or not structure data is designated (step S120). When the structure data is designated, information on the designated structure data, for example, a path name in which the structure data is stored, a file name of the structure data, and the like are stored in a predetermined area of the RAM 24 (step S130).

  After step S130 or when structure data is not specified in step S120, the CPU 22 determines whether or not the analysis type setting key 51 has been pressed (step S140). When the analysis type setting key 51 is pressed, the CPU 22 displays the analysis type setting screen 70 on the display 28 (step S150). FIG. 6 is an explanatory diagram illustrating an example of the analysis type setting screen 70. Here, the cursor 12 is placed on the analysis type setting key 51, and the analysis type setting screen 70 is displayed in a window on the analysis condition setting screen 40 when clicked with the mouse of the input device 27 or the like. This analysis type setting screen 70 includes an analysis input field 72 in which linear static analysis, actual eigenvalue analysis, shared load calculation, etc. in analysis other than dynamic analysis can be selected by check boxes, and direct frequency axis or time axis in dynamic analysis. A dynamic analysis input field 74 in which legal response analysis, modal response analysis, and the like can be selected with check boxes, and an application execution key 78 for confirming the selection contents are arranged. When the user sets an analysis type on the analysis type setting screen 70, the CPU 22 stores the set analysis type in a predetermined area of the RAM 24 (step S160).

  After step S160 or when the analysis type setting key 51 is not pressed in step S140, the CPU 22 determines whether or not an excitation condition has been input to the excitation condition input area 54 (step S170). When the excitation condition is input, the CPU 22 stores the input excitation condition in a predetermined area of the RAM 24 (step S180). Here, for example, when the existing vibration condition reading key 53 is pressed, the CPU 22 reads the vibration condition from the existing vibration matrix data 34 and inputs it to the vibration condition input area 54. Further, when any input is made to the excitation condition input area 54 by the user, the input content is stored in the RAM 24.

  After step S180 or when the excitation condition is not input in step S170, the CPU 22 determines whether or not there is a numerical value input in the calculation range setting area 56 and the calculation range is set (step S190). When the calculation range is set, the CPU 22 obtains the predicted capacity using the set calculation range and the predicted capacity correspondence information 33, and performs display processing (step S200).

  After step S200 or when the calculation range is not input in step S190, the CPU 22 determines whether there is an input in the output element setting area 62 and an output element is set (step S210). Here, the input to the output element setting area 62 can be directly entered in the displacement designation range input field 64a, the stress designation range input field 65a and the acceleration designation range input field 66a, or the output element setting key 63 is pressed. Can also be entered. When the output element setting key 63 is pressed, the CPU 22 displays the output element setting screen 80 on the display 28 (step S220). FIG. 7 is an explanatory diagram illustrating an example of the output element setting screen 80. Here, when the output element setting key 63 is clicked, the output element setting screen 80 is displayed in a window on the analysis condition setting screen 40. In this output element setting screen 80, an analysis result identifier display field 81 for displaying an analysis result identifier, a standard setting key 82 for setting a standard, a displacement input field 83 for inputting a displacement parameter, and a stress parameter are input. A stress input field 84 for inputting, an acceleration input field 85 for inputting an acceleration parameter, an OUT file setting field 86 for setting a file format to be output, and an application execution key 88 for confirming selection contents are arranged. That is, one or more of displacement, stress, and acceleration can be set as an output element. In the displacement input field 83, there are arranged a displacement designation range input field 83a for designating a range of displacement and a command box 83b for designating the range. In the stress input field 84, a stress designation range input field 84a for designating a range of stress and a command box 84b for designating the range are arranged. In the acceleration input field 85, an acceleration designation range input field 85a for designating an acceleration range and a command box 85b for designating a range are arranged. When input is made in the displacement designation range input field 83a, the stress designation range input field 84a, and the acceleration designation range input field 85a, the displacement designation range input field 64a, the stress designation range input field 65a, and the acceleration designation range input field 66a, respectively. The input contents are assumed to be reflected. In the output element setting screen 80, when the check boxes provided in the displacement input field 83, the stress input field 84, and the acceleration input field 85 are checked, the command boxes 83b, 84b, and 85b can be input. Is set to This command box 83b is provided with “ALL” for selecting the whole and check boxes for the range specification fields, and it is possible to input a numerical value box for further specifying the range when the range specification is selected. It was supposed to be. When the user sets an output element on the output element setting screen 80, the CPU 22 stores the set output element information in a predetermined area of the RAM 24 and also takes the output element information (the number of output elements to be calculated) into account. Then, the predicted capacity is obtained and displayed (step S230). Here, the calculation of the predicted capacity, which is the predicted value of the data capacity of the calculation result, is performed by, for example, predicting each output element using the predicted capacity correspondence information 33 and the set calculation range for each of the plurality of output elements. It is good also as what calculates | requires capacity | capacitance and adds this estimated capacity | capacitance.

  After step S230 or when no output element is set in step S210, the CPU 22 determines whether or not the creation execution key 46 has been pressed (step S240). When the creation execution key 46 is not pressed, the CPU 22 mainly executes the processes after step S100. For convenience of explanation, a detailed description of the flowchart is omitted. However, when a button other than the creation execution key 46 is selected, for example, when the help key 43 is pressed, a help screen is displayed and a table format save key is displayed. When 44 is pressed, it is assumed that the excitation matrix data 34 storing these items is stored and executed using information on the fluctuation item and fluctuation value among the CAE analysis execution conditions set in the vibration condition input area 54. On the other hand, when the creation execution key 46 is pressed, the CPU 22 determines whether all the conditions used for the CAE analysis are set based on the contents set in the analysis condition setting screen 40 (step S250). When all the conditions of CAE analysis are not set, the processing after step S100 is executed. On the other hand, when all conditions for CAE analysis are set, the CPU 22 uses information stored in the RAM 24 (contents set in the analysis condition setting screen 40) according to the format defined by the CAE analysis execution program 25e. The analysis condition data 25d is generated, and the generated analysis condition data 25d is output as a file and stored in the storage device 25 (step S260). Then, the CPU 22 determines whether or not all the processes have been completed based on the input of the termination command from the user (step S270), and when all the processes have not been completed, executes the processes after step S100. When all the processes are finished, this routine is finished.

  FIG. 8 is an explanatory diagram of an analysis condition setting screen 40 in which CAE analysis conditions have been set. FIG. 9 is a conceptual diagram showing an outline of setting contents on the analysis condition setting screen 40. As shown in FIG. 8, when each condition is entered in the analysis condition setting screen 40, and as shown in FIG. 9, the direction of displacement at each node, the change in displacement value over time, etc. are input. Analysis condition data 25d is created. In the analysis using the time axis, the phase lag input field of the magnification / phase / constraint condition additional input field 54f is painted black as shown in FIG. 8 and is not used. The lower data in FIG. 9 corresponds to the vibration matrix data 34. Although the header portion of the data may be different, the analysis condition data 25d can have the same configuration. When the CAE analysis conditions are set, the CPU 22 generates analysis condition data 25d based on the setting contents shown in the lower part of FIG. FIG. 10 is an explanatory diagram illustrating an example of the generated analysis condition data 25d. Here, as a generation format of the analysis condition data 25d, a data definition area 16 storing information such as a set calculation range and output elements, and an excitation condition description area 17 storing the excitation conditions of the excitation source condition data 25b are stored. The analysis condition data 25d including the parameter area 18 storing the file name and parameters of the structure data 25a is generated. In the vibration condition description area 17, the values are arranged in the order of the time value, the displacement value, the time value, and the displacement value in an area separated by “+” in a state where the 8-digit values are consecutive without being separated. It is a description format. In the excitation condition description area 17 created in this way, each value is arranged in a state where time values and displacement values are mixed, and it can be said that the contents are difficult to understand. In the excitation source condition data 25b, each data such as a time value, an item name, and a displacement value, which are excitation conditions, is stored by a comma delimiter, a tab delimiter, and a space delimiter, for example, and can be displayed in a matrix form. It is easy for the user to understand the contents (see the lower part of FIG. 9). As described above, the CAE analysis apparatus 20 uses the excitation source condition data 25b created in a format that is easy for the user to understand to generate analysis condition data 25d including the excitation conditions in a format that is difficult for the user to understand. .

  Next, a process for executing the CAE analysis using the created analysis condition data 25d will be described. FIG. 11 is a flowchart illustrating an example of a CAE analysis execution routine executed by the CPU 22 of the controller 21. This routine is stored in the storage device 25 and executed by the CPU 22 based on the input of a program execution command by the user. When this routine is executed, the CPU 22 first determines whether or not the analysis condition data 25d has been set (step S300). This determination is made based on whether or not the file name of the analysis condition data 25d is input to an analysis start screen (not shown). When the analysis condition data 25d is not set, the process waits as it is, and when the analysis condition data 25d is set, the structure data 25a designated in the analysis condition data 25d is recognized (step S310). Here, the structure data designated by “INCLUDE” of the analysis condition data 25d shown in FIG. 10 is recognized, and the structure data 25a and the analysis condition data 25d are processed as one file as a condition for executing the analysis. It was supposed to be. Next, the CPU 22 performs CAE analysis execution processing using the finite element method using the set structure data 25a and analysis condition data 25d as analysis execution conditions (step S320). In the CAE analysis, the structure (exhaust pipe model 10) is divided into small portions (elements) having a simple shape, and the characteristics of each element are approximately expressed using equations. Are combined to obtain a solution in which all equations are satisfied, thereby performing a process for obtaining the entire behavior (displacement). Subsequently, the CPU 22 displays and outputs the obtained analysis result (step S330), outputs the obtained analysis result to a file and stores it in the storage device 25 (step S340), and ends this routine.

  FIG. 12 is an explanatory diagram of a CAE analysis result representing an example of a displacement process in the exhaust pipe model 10. Here, the displacement value is larger as the position of the component is shifted, and the stress value is larger as the color is darker. In this analysis result, it is assumed that the displacement at each position of the exhaust pipe model 10 changes depending on the color density with time and is displayed on the screen. By examining the change in color density, it is possible to know in advance what kind of displacement will occur and what kind of stress will be applied to each part. As described above, the analysis condition data 25d can be created by a simple operation, and the CAE analysis of the structure can be performed in a shorter time using the structure data 25a and the analysis condition data 25d.

  Here, the correspondence between the components of the present embodiment and the components of the present invention will be clarified. The display control unit 35 of this embodiment corresponds to the display control module of the present invention, the analysis condition data generation unit 38 corresponds to the analysis condition data generation module, and the data output unit 37 corresponds to the output module. In the present embodiment, an example of the information processing program and the information processing method of the present invention is also clarified by describing the operation of the CAE analysis apparatus 20.

  Conventionally, even a person with specialized knowledge requires a large number of man-hours for each analysis condition data 25d, including trial and error for obtaining an appropriate solution. In addition, as products diversify, it is difficult for those with specialized knowledge to deal with all of them. Conventionally, commercially available general-purpose analysis software, etc. has multiple CAE analysis condition settings. When inputting conditions, it is necessary to switch between multiple screens. It was difficult to discover. In addition, the analysis conditions cannot be separated and saved in an easy-to-understand format, and there are problems such as an increase in file capacity and complicated operations when analyzing a plurality of models under the same conditions.

  On the other hand, according to the CAE analyzer 20 of the present embodiment described in detail above, the structure data name designation field 41, the analysis type setting key 51, the excitation condition input area 54, and the calculation range setting area 56 Then, the output element setting area 62 is arranged on one screen, and the analysis condition setting screen 40 on which the setting value corresponding to each area can be input is displayed. Next, on the analysis condition setting screen 40, after the structure data, the fluctuation item, the fluctuation value, and the position of the structure are input by the user, the excitation source condition data 25b is based on the input content and the analysis condition data 25d. Is generated by changing to the format of the analysis condition data 25d. Then, the generated analysis condition data 25b is output as a file. As described above, since the CAE analysis apparatus 20 of the present embodiment uses the excitation source condition data 25b in a format that can be recognized by the user, the excitation source condition data 25b can be created more easily. Further, since the analysis condition data 25d is output from the vibration source condition data 25b in accordance with the format of the CAE analysis execution program 25e, the analysis condition data 25d can be created more easily than when the user manually performs, for example. can do. In addition, since the structure data name designation field 41, the excitation condition input area 54, and the like are arranged on one screen, for example, it is easier to confirm the content than that for switching a plurality of screens, and the user operation is more Can be suppressed. Further, since the input area for each set value is arranged on one screen according to the input procedure, it is easy to input each set value, and the analysis condition data 25d can be created more easily.

  Further, from the excitation source condition data 25b that can be displayed by arranging the time value and the fluctuation value of the fluctuation value for each fluctuation item, the analysis condition data displayed by arranging the time value and the fluctuation value in a mixed manner. Since 25d is generated, it is easy to confirm the relationship between the time value and the fluctuation value, and it is easy to create the excitation source condition data 25b. In addition, when it is difficult to create the analysis condition data 25d defined in the CAE analysis execution program 25e such that time values and fluctuation values are mixed, the analysis condition data can be created more easily. Furthermore, in the vibration condition input area 54 of the analysis condition setting screen 40, input cells including a node position (GRID), a change direction, a change type, and a reference column of change values are arranged in a matrix. The user can easily confirm the input position of the variation condition, and the analysis condition data 25d can be created more easily. Furthermore, after the analysis type is set by the user using the analysis type setting key 51 and the constraint condition is input by the user to the magnification / phase / constraint condition addition input field 54f, the set analysis type and the input constraint condition Since the analysis condition data 25d is generated using the data, for example, even if the constraint condition is not set on the structure data side, the constraint condition can be set on the analysis condition data side. It is not necessary to change the constraint conditions, and the user can execute the CAE analysis more easily. Then, the predicted capacity corresponding to the calculation range is obtained by taking the output element into consideration, and is displayed in the predicted capacity display column 61. Therefore, it is easier to judge the validity of the calculation range without specialized knowledge, and to obtain the calculation result. It is possible to further suppress unexpectedly enormous amounts of time and unexpected calculation results in an enormous amount of data. Further, when the table format save key 44 is pressed, the excitation matrix data 34 is created and saved using information on the fluctuation items and fluctuation values among the currently input CAE analysis execution conditions. The fluctuation items and fluctuation values can be used later, and analysis condition data can be created more easily. In addition, when the existing excitation condition reading key 53 is pressed, in order to read the information regarding the fluctuation item and the fluctuation value stored in the vibration matrix data 34 and input the read information to the vibration condition input area 54, Analysis condition data can be created more easily using the vibration matrix data 34.

  It should be noted that the present invention is not limited to the above-described embodiment, and it goes without saying that the present invention can be implemented in various modes as long as it belongs to the technical scope of the present invention.

  For example, in the above-described embodiment, the analysis condition setting screen 40 includes the analysis type setting key 51, the calculation range setting area 56, and the output element setting area 62. May be omitted or displayed on a separate screen. Even in this case, the analysis condition data can be created more easily by the analysis condition data generation program 25c. Although the analysis type setting key 51 is used, the present invention is not limited to a particular key. The analysis type can be set in an area, specifically, a check box or pull-down menu for setting the analysis type, and any character can be input and input. It is good also as a combo box etc. which can refer the contents.

  In the above-described embodiment, it is assumed that the excitation source condition data 25b includes the time value and the fluctuation value of the fluctuation value arranged for each fluctuation item, and the analysis condition data 25d includes the time value and the fluctuation value of the fluctuation value. Although the arrangement is mixed, the arrangement is not particularly limited to this. Note that it is more difficult for the user to create the analysis condition data 25d if the arrangement of the time value and the variation value is mixed in the analysis condition data 25d, and the significance of applying the present invention is high.

  In the above-described embodiment, the excitation condition input area 54 has input cells including the node information of the structure, the change direction, the change type, and the reference column of the change values of the excitation source condition data 25b arranged in a matrix. However, it is not limited to this as long as there is an area for inputting these, and it may be other than an input cell or a matrix.

  In the above-described embodiment, the structure data name designation field 41, the analysis type setting key 51, the excitation condition input area 54, the calculation range setting area 56, and the output element setting area 62 are arranged in the order from the top in the order. However, the present invention is not particularly limited to this, and may be sequentially arranged from the left side to the right side, or may be sequentially arranged from the right side to the left side. Further, the arrangement order of the calculation range setting area 56 and the output element setting area 62 may be either first.

  In the above-described embodiment, the constraint condition can be input according to the analysis type. However, the constraint condition can be input without depending on the analysis type, and the function that allows the constraint condition to be input may be omitted. . Even in this case, the analysis condition data can be created more easily.

  In the above-described embodiment, the predicted capacity is obtained and displayed based on the calculation range, the predicted capacity correspondence information 33, and the output element. However, for example, when the output element is fixed, the predicted capacity is not taken into account. May be calculated. Alternatively, the function of obtaining and displaying the predicted capacity may be omitted. Even in this case, the analysis condition data can be created more easily.

  In the above-described embodiment, when the existing excitation condition reading key 53 is pressed, the excitation condition is read from the existing excitation matrix data 34 and is input to the excitation condition input area 54. After pressing the condition read key 53, a menu is displayed in which one or more excitation matrix data 34 can be selected. The contents of the excitation matrix data 34 selected in this menu are read and input to the excitation condition input area 54. It may be a thing. This is also preferable because the user's input operation can be further suppressed. Alternatively, the functions of the tabular storage key 44 and the existing vibration condition reading key 53 may be omitted.

  In the above-described embodiment, the vibration condition is input as the fluctuation value. However, the present invention is not particularly limited thereto. For example, the temperature condition may be input as the fluctuation value and analyzed. In the above-described embodiment, the CAE analysis is performed on the exhaust pipe model 10 as a structure. However, the structure is not particularly limited to this, for example, an automobile such as an automobile engine, a transmission, a suspension, or the like. Or a structure related to a building such as a house, a building, or a bridge, or a structure related to an electronic device such as a PC or a mobile phone.

  In the above-described embodiment, the time value and the fluctuation value of the fluctuation value have been described as being used as the fluctuation source condition data. However, the present invention is not limited to this, and the frequency value is used instead of or in addition to the time value of the fluctuation value. And the variation value may be used as variation source condition data. Even in this case, the excitation source condition data 25b can be created more easily using the frequency value. Similarly, in the above-described embodiment, as the variation source condition data, the time value and the variation value of the variation value have been described as being arranged and displayed for each variation item. Instead of or in addition to this time value, the frequency value and the variation value may be arranged and displayed for each variation item.

  In the above-described embodiment, in the analysis condition data generation routine, after determining that there is an input in step S110, in steps S120, S140, S170, S190, and S210, structure data designation, analysis type designation, and excitation condition Although it has been described that input confirmation is performed in the order of input, calculation range setting, and output element setting, it is not particularly limited to this, and structure data designation, analysis type designation, and addition are performed after the determination that there is an input in step S110. It is also possible to determine whether any of vibration condition input, calculation range setting, and output element setting has been input, and to perform display processing and setting content storage processing according to the determination content.

  In the above-described embodiment, the button-shaped “key” is arranged on the analysis condition setting screen 40, the analysis type setting screen 70, the output element setting screen 80, etc., but the mouse click or the enter key of the keyboard is used. There is no particular limitation as long as a predetermined process is started according to the selection operation of the input device 28 such as pressing. For example, an image such as an icon or a character such as a hyperlink may be arranged. Even in this way, it is easy for the user to input.

  In the above-described embodiment, the CAE analysis apparatus 20 has been described. However, the analysis condition data generation program 25c may be used, or an aspect of this information processing method may be used. In the above-described embodiment, the CAE analysis apparatus 20 is configured by one PC. However, the CAE analysis apparatus 20 may perform processing while being shared by two or more PCs.

10 exhaust pipe model, 12 cursor, 16 data definition area, 17 excitation condition description area, 18 parameter area, 20 CAE analyzer, 21 controller, 22 CPU, 23 flash ROM, 24 RAM, 25 storage device, 25a structure data , 25b Excitation source condition data, 25c Analysis condition data generation program, 25d Analysis condition data, 25e CAE analysis execution program, 25f CAE analysis result data, 27 Input device, 28 Display, 29 bus, 30 Command acquisition unit, 31 Command content Processing unit, 32 input condition correspondence information, 33 predicted capacity correspondence information, 34 excitation matrix data, 35 display control unit, 36 numeric string conversion unit, 37 data output unit, 38 analysis condition data generation unit, 40 analysis condition setting screen, 41 Structure data nomenclature Field, 41a reference key, 42 constraint number input field, 43 help key, 44 table format save key, 45 switch key, 46 creation execution key, 50 calculation condition setting area, 51 analysis type setting key, 52 analysis result identifier display field, 53 Existing excitation condition readout key, 54 Excitation condition input area, 54a Node number input field, 54b Direction input field, 54c Input type setting field, 54d Data designation field, 54e Manual input key, 54f Magnification / phase / constraint condition addition Input field, 55 Header string input field, 56 Calculation range setting field, 57 Excitation range input field, 58 Time value input field, 59 Eigenmode calculation input field, 60 Step number display field, 61 Predicted capacity display field, 62 Output element Setting area, 63 Output element setting key, 64 Displacement input field, 64a Displacement designation range input field, 64b Calculation point display field, 65 Force input field, 65a Stress specification range input field, 65b Calculation point display field, 66 Acceleration input field, 66a Acceleration specification range input field, 66b Calculation point display field, 70 Analysis type setting screen, 72 Analysis input field, 74 Dynamic analysis input Field, 78 application execution key, 80 output element setting screen, 81 analysis result identifier display field, 82 standard setting key, 83 displacement input field, 83a displacement designation range input field, 83b command box, 84 stress input field, 84a stress designation range Input field, 84b Command box, 85 Acceleration input field, 85a Acceleration designation range input field, 85b Command box, 86 OUT file setting field, 88 Application execution key.

Claims (12)

An information processing program for supporting execution condition input of a CAE analysis execution program, which is a program for CAE analysis of a structure by a finite element method,
A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure. A display control module that displays an analysis condition setting screen that can be set on one screen and can be input with setting values corresponding to each area;
In the analysis condition setting screen, the structure data is specified by the user in the structure data specification area, and the change item and the change value are in a format that allows the user to recognize the relationship between the change item and the change value used for CAE analysis. Based on the input content and the variation source condition data, after the user has input the variation item and variation value information stored in the variation source condition data stored in the variation condition input area. The analysis condition for generating the analysis condition data by changing the description state of the variation value to the format of the analysis condition data defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program A data generation module;
An output module for outputting the generated analysis condition data;
Information processing program with   The analysis condition data generation module, when generating the analysis condition data, from the variation source condition data that can be displayed by arranging the variation value time value and / or frequency value and the variation value for each variation item, The analysis condition data defined in the CAE analysis execution program and displayed by arranging the time value and / or frequency value and the fluctuation value in a mixed manner is represented by the time value and / or frequency value and the fluctuation value. The information processing program according to claim 1, wherein the analysis condition data is generated by rearranging the array.   The variation condition input area of the analysis condition setting screen is arranged in a matrix form input cells including the node information of the structure, the variation direction, the variation type, and the variation column of the variation value of the variation source condition data, The information processing program according to claim 1 or 2. In the analysis condition setting screen, an analysis type setting area for setting a type for performing CAE analysis and a constraint condition addition input field for inputting a constraint condition of the structure corresponding to the analysis type are arranged. ,
In the analysis condition data generation module, after the analysis type is set by the user in the analysis type setting area and the constraint condition is input by the user in the constraint condition addition input field, the set analysis type and the input The information processing program according to any one of claims 1 to 3, wherein the analysis condition data is generated using the constraint conditions. The analysis condition setting screen includes a calculation range setting area for setting a range in which calculation of CAE analysis is performed, and a predicted capacity display field for displaying a predicted capacity that is a predicted value of the data capacity of the calculation result obtained by executing the CAE analysis. Has been placed,
When the calculation range is input by the user in the calculation range setting area, the analysis condition data generation module uses the predicted capacity correspondence information including a correspondence relationship between the calculation range and the predicted capacity, and the calculation range. Obtaining a predicted capacity corresponding to the calculation range;
The information processing program according to any one of claims 1 to 4, wherein the display control module displays the calculated predicted capacity in the predicted capacity display field. In the analysis condition setting screen, an output element setting area for setting contents to be output by CAE analysis is arranged.
The analysis condition data generation module uses the predicted capacity correspondence information, the calculation range, and the information of the output element, after the output element is input by the user in the output element setting area, to the calculation range. The information processing program according to claim 5, wherein a corresponding predicted capacity is obtained. On the analysis condition setting screen, a save execution key that saves and executes change condition data storing information on change items and change values using information on change items and change values among currently input CAE analysis execution conditions. , Is arranged,
The analysis condition data generation module is configured to input current information when the change item and change value information stored in the change source condition data is input to the change condition input area and the save execution key is pressed. The information processing program according to any one of claims 1 to 6, wherein fluctuation condition data is created and stored using information on a fluctuation item and a fluctuation value among the execution conditions of the CAE analysis being performed. On the analysis condition setting screen, a read execution key for reading the already stored variation condition data is arranged,
When the read execution key is pressed, the analysis condition data generation module reads information on the fluctuation item and fluctuation value stored in the saved fluctuation condition data, and reads the read information as the fluctuation condition. The information processing program according to claim 7, wherein the information processing program is input to an input area.   The analysis condition setting screen includes a structure data specifying area for specifying structure data that is data of a structure that is a target of CAE analysis, an analysis type setting area for setting a type for performing CAE analysis, and a structure. A fluctuation condition input area for inputting a fluctuation condition including a fluctuation value to be given and a fluctuation item, a calculation range setting area for setting a range for CAE analysis calculation, and an output element setting area for setting contents to be output by CAE analysis The structure data designation area, the analysis type setting area, the variation condition input area, and the calculation range setting area or the output element setting area are arranged on one screen according to the input procedure. The information processing program according to any one of 1 to 8. An information processing method for supporting execution condition input of a CAE analysis execution program which is a program for CAE analysis of a structure by a finite element method,
(A) A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure And displaying an analysis condition setting screen on which a set value corresponding to each area can be input,
(B) In the analysis condition setting screen, the structure data is designated by the user in the structure data designation area, and the relation between the fluctuation item used for the CAE analysis and the fluctuation value is recognized by the user in a format that can be recognized by the user. After the fluctuation item and fluctuation value information stored in the fluctuation source condition data storing the fluctuation value is input by the user to the fluctuation condition input area, the input content, the fluctuation source condition data, The analysis condition data is generated by changing the description state of the fluctuation value to an analysis condition data format defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program. And steps to
Outputting the generated analysis condition data;
An information processing method including: An information processing apparatus for supporting execution condition input of a CAE analysis execution program which is a program for CAE analysis of a structure by a finite element method,
Display means for displaying an image;
A structure data designation area for designating structure data that is data of a structure to be subjected to CAE analysis, and a fluctuation condition input area for inputting a fluctuation condition including a fluctuation value and a fluctuation item to be given to the structure. Display control means for displaying on the display means an analysis condition setting screen arranged on one screen and capable of inputting set values corresponding to the respective areas;
In the analysis condition setting screen, the structure data is specified by the user in the structure data specification area, and the change item and the change value are in a format that allows the user to recognize the relationship between the change item and the change value used for CAE analysis. Based on the input content and the variation source condition data, after the user has input the variation item and variation value information stored in the variation source condition data stored in the variation condition input area. The analysis condition for generating the analysis condition data by changing the description state of the variation value to the format of the analysis condition data defined by the CAE analysis execution program and describing the CAE analysis execution condition of the CAE analysis execution program Data generation means;
Output means for outputting the generated analysis condition data;
An information processing apparatus comprising: The information processing apparatus according to claim 11,
An information processing apparatus comprising: CAE analysis execution means for performing CAE analysis of the structure by a finite element method using the analysis condition data and the structure data.

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