JP2011107927A - Program and device of design support - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a design support device reducing the man-hours of the rigidity evaluation of a structure. <P>SOLUTION: The design support device W for evaluating the rigidity of a structure includes a structure analyzing part 30 for acquiring the displacement of the structure by executing structure analysis by a finite element method in which a uniformly distributed load is added to the structure, and for specifying an area where the displacement is the largest as a countermeasure site candidate, and for acquiring the displacement of the countermeasure site candidate by executing the structure analysis by the finite element method in which a concentrated load is added to the countermeasure site candidate, and for performing determination processing to determine whether the countermeasure site candidate is pertinent to the countermeasure site whose rigidity enhancement is necessary according to whether the displacement of the countermeasure site candidate satisfies requirements. Also, when determining that the countermeasure site candidate is pertinent to the countermeasure site, the structure analyzing part 30 calculates the spring constant of a linear spring by the displacement of the countermeasure site candidate and a prescribed function expression, and sets the linear spring of the calculated spring constant to the countermeasure site, and performs the determination processing again to determine the presence/absence of the next countermeasure site. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a design support program and a design support apparatus, and for example, relates to a design support program that causes an information processing apparatus to perform rigidity evaluation of a structure and a design support apparatus that performs structure rigidity evaluation.

  Conventionally, rigidity evaluation (stiffness CAE) by the finite element method has been performed for hand panel rigidity evaluation of parts such as instrument panels (hereinafter referred to as “instrument panel”) and bumpers, etc. A program to be executed and a device in which the program is mounted have been proposed.

For example, Patent Document 1 discloses a design support apparatus that performs structural analysis on a structure such as an instrument panel and extracts a weak part of the structure.
Specifically, the design support device performs structural analysis by a finite element method using input data including design information, physical property value information, constraint conditions, and load conditions of a structure, and a weak part of the structure (measures) The following processing is executed.

First, the design support device uses the input data to perform a structural analysis by a finite element method in which an evenly distributed load is applied to the entire structure to obtain a displacement of the structure, and among the displacements, A process (extraction process) is performed in which an area having the largest displacement amount is identified and the identified area is extracted as a weak body part candidate.
Next, the design support device performs structural analysis by a finite element method in which a concentrated load is applied to the estimated weak body region candidate to obtain a displacement of the weak body region candidate, and the weak body region candidate is verified using the displacement. Process. In this verification process, if the displacement is larger than a predetermined reference, the weak body part candidate is recognized as a weak part, and if the displacement is smaller than the predetermined reference, it is determined that the weak body part candidate does not need a rigidity countermeasure. End the process.

  Further, when the design support apparatus recognizes a weak body part in the verification process, the design support apparatus artificially increases the rigidity of the certified weak body part, and then performs the extraction process again to extract the next weak body part candidate. Then, the same verification process as described above is performed.

Further, there are various methods for artificially increasing the rigidity of the recognized weak body region, but generally, a method of applying a linear spring to the weak body region is employed.
Here, a method of artificially increasing the rigidity of the weak part of the structure according to the conventional technique will be described with reference to FIG.
FIG. 7 is a flowchart showing a procedure of a process for artificially increasing the rigidity of the weak part of the structure according to the prior art.

Specifically, first, the designer selects (estimates from the empirical rule) the spring constant of the linear spring set in the weak body region based on his own empirical rule (S100).
Next, the designer inputs data related to the selected spring constant linear spring to the design support device, sets the linear spring of the spring constant to the weak body portion (supports the weak body portion with a linear spring). Then, the rigidity of the weak body part is artificially increased (S110).
Next, the design support apparatus is subjected to structural analysis by a finite element method in which a concentrated load is applied to the weak body portion where the linear spring is set (rigid CAE is performed), and the weak body portion where the linear spring is set Is determined (S120).

Next, the designer determines whether or not the linear spring setting process is appropriate (S130).
Specifically, the designer determines that the linear spring is appropriate when the calculated displacement satisfies a predetermined requirement (displacement ≦ target value and displacement≈target value), and performs processing (simulating the rigidity of the weak body part). If the predetermined requirement is not satisfied, the process proceeds to S140.
In S140, the designer changes the spring constant of the linear spring set in the design support apparatus, and the process returns to S120.
In S130, when the process of artificially increasing the rigidity of the weak body part is completed, as described above, the extraction process is performed again to extract the next weak body part candidate, and then the same verification process as described above. To implement.

JP 2009-217548 A

According to the rigidity evaluation of the above-described prior art, since the weak body part candidate extraction process is performed again after artificially increasing the rigidity of the recognized weak body part, there are a plurality of weak body parts in the structure. Even if it exists, the weak part of a structure can be extracted without omission.
However, the above-described prior art stiffness evaluation requires a large amount of man-hours for the linear spring setting process (see FIG. 7) performed to increase the rigidity of the weak body part in a pseudo manner, and places a heavy processing burden on the designer. have.

Specifically, the spring constant of the linear spring set to increase the rigidity of the weak body part of the structure varies depending on the shape of the structure and the position of the weak body part.
Therefore, as described above, even if the operator selects the spring constant based on his own rule of thumb, it is difficult to select the optimum one. As a result, the operator repeatedly performed the verification of the selected linear spring and the process of changing the set linear spring (the processes of S110 to S140 in FIG. 7) many times (about 6 times) (so-called try and error). Was repeated).
In addition, at the design stage, there are often a plurality of weak parts in the structure. Therefore, it is necessary to perform a process for selecting a linear spring with a large man-hour for each weak part, which is a heavy burden on the designer. It was.

  The present invention has been made to solve the above technical problem, and an object of the present invention is to provide a design support program and a design support apparatus that can reduce the man-hour for evaluating the rigidity of a structure.

The present invention made to solve the above problems is applied to a design support program that causes an information processing apparatus to execute a rigidity evaluation of a structure.
The design support program performs structural analysis by a finite element method in which an evenly distributed load is applied to the structure using input data including structure design information, physical property value information, constraint conditions, and load conditions. The displacement of the structure is obtained, the region with the largest displacement is specified as a countermeasure site candidate, the structural analysis is performed by a finite element method in which a concentrated load is applied to the countermeasure site candidate, and the displacement of the countermeasure site candidate is determined. Obtaining a step of determining whether the countermeasure part candidate corresponds to a countermeasure part requiring rigidity enhancement according to whether the displacement of the countermeasure part candidate satisfies a predetermined requirement; If it is determined, a spring constant of a linear spring is calculated from the obtained displacement of the countermeasure part candidate and a predetermined function formula, and a linear spring of the calculated spring constant is set in the countermeasure part, and the countermeasure part No go The on raised artificially, again, it performs the determination process, is characterized by a step determines the presence or absence of the following measures site.

  As described above, the design support program according to the present invention selects a linear spring used for artificially increasing the rigidity of a countermeasure part of a structure (selection of a spring constant), and gives a predetermined function formula and before applying the linear spring. Therefore, it is not necessary to select (estimate) the spring constant based on the designer's own empirical rule as in the prior art. As a result, according to the present invention, it is not necessary to perform the trial and error repetitive processing as in the prior art, so the number of steps for selecting the linear spring can be reduced, and the work for evaluating the rigidity of the structure Time can be shortened.

  In addition, the function formula collects data in which the spring constant of the linear spring obtained by experiment or actual rigidity evaluation of the structure is associated with the displacement of the countermeasure portion before the linear spring is set. It is desirable that the approximate expression is obtained by statistically processing the obtained data group.

The reason why the functional formula is defined as described above is that the inventors of the present application have conducted research on the structural analysis of a structure such as an instrument panel, and as a result, artificially increase the rigidity of a countermeasure part of the structure such as an instrument panel. Because of the finding that there is a strong correlation between the spring constant of the linear spring used in the above and the displacement of the countermeasure part before setting the linear spring, regardless of the shape of the structure and the position of the countermeasure part .
Therefore, the inventors of the present application have obtained the "spring constant of the optimum linear spring set as a countermeasure part" of the structure and the "displacement of the countermeasure part before application of the linear spring" obtained by experiment or actual instrument panel rigidity evaluation. ”Is collected, an approximate expression is obtained by statistical processing (for example, the least square method) using the collected data group, and the approximate expression is used as“ a functional expression for calculating the spring constant ”. I made it.

Further, when a linear spring having the calculated spring constant is set as the countermeasure part, a structural analysis is performed by a finite element method in which a concentrated load is applied to the countermeasure part where the linear spring is set, and the displacement of the countermeasure part is performed. If the calculated displacement does not satisfy a predetermined standard, it is desirable to correct the calculated spring constant.
Thus, since the set linear spring is verified and corrected if the predetermined standard is not satisfied, the reliability of the linear spring setting process is ensured.

In addition, the present invention made to solve the above-described problems performs structural analysis by a finite element method using input data including structural design information, physical property value information, constraint conditions, and load conditions, and It is applied to a design support device that evaluates the rigidity of
Then, the design support device uses the input data to perform a structural analysis by a finite element method in which an evenly distributed load is applied to the structure to obtain a displacement of the structure, and to determine a region where the displacement is the largest. Identifies as a countermeasure part candidate, performs structural analysis by a finite element method with a concentrated load applied to the countermeasure part candidate, obtains a displacement of the countermeasure part candidate, and determines whether or not the displacement of the countermeasure part candidate satisfies a predetermined requirement It has a structure analysis means for performing a determination process for determining whether or not a countermeasure part candidate corresponds to a countermeasure part that requires rigidity enhancement, and when the structure analysis means is determined to correspond to the countermeasure part, Calculate the spring constant of the linear spring based on the obtained displacement of the countermeasure part candidate and a predetermined function formula, set the linear spring of the calculated spring constant in the countermeasure part, and artificially increase the rigidity of the countermeasure part And again before A judgment process is characterized by determining the presence or absence of the following measures site.

  ADVANTAGE OF THE INVENTION According to this invention, the design support program and design support apparatus which reduce the man-hour of the rigidity evaluation of a structure can be provided.

It is a functional block diagram of the design support apparatus of the embodiment of the present invention. It is a hardware block diagram of the information processing apparatus of embodiment of this invention. It is the flowchart which showed the procedure of the design support process of the structure which the design support apparatus of embodiment of this invention performs. FIG. 4 is a flowchart specifically showing a processing procedure of S7 shown in FIG. 3. FIG. It is a schematic diagram for demonstrating the functional formula used for calculation of the spring constant in embodiment of this invention. It is the schematic diagram which showed an example of the countermeasure site | part information of the instrument panel which the design assistance apparatus of embodiment of this invention outputs. It is the flowchart which showed the procedure of the process which raises the rigidity of the weak part of a structure by a prior art artificially.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
First, the functional configuration of the design support apparatus of this embodiment will be described with reference to FIG.
FIG. 1 is a functional block diagram of a design support apparatus according to an embodiment of the present invention.

  As shown in the figure, the design support apparatus W receives various requests from the information processing apparatus 1 that evaluates the rigidity of the product using design information of the product and parts such as parts constituting the product, and the designer. An input device 2 and an output device 3 that outputs an analysis result performed by the information processing device 1 are provided. The information processing apparatus 1 is connected to the CAD apparatus 4 via a network NW such as a LAN (Local Area Network).

  The information processing apparatus 1 performs structural analysis on the structure by the finite element method, obtains the displacement of the structure, and determines the presence / absence of a countermeasure part (weak body part requiring rigidity countermeasures) of the structure from the displacement. To do. In addition, if there is a countermeasure part in the structure by the structural analysis, the information processing apparatus 1 further executes a topology optimization process or the like by the finite element method to select a countermeasure for strengthening the rigidity of the countermeasure part.

The input device 2 includes a keyboard, a mouse, and the like, and receives various requests from the designer, analysis conditions (physical property value information, constraint conditions, load conditions) and the like and outputs them to the information processing apparatus 1.
The output device 3 is configured by a liquid crystal display or the like, and displays image information output from the information processing device 1.
The CAD device 4 stores CAD information (for example, design information of automobile component parts) of a structure to be subjected to structural analysis. Then, the CAD device 4 outputs CAD information to the information processing device 1 in accordance with a request from the information processing device 1.
Hereinafter, a specific configuration of the design support apparatus W will be described. Note that the CAD device 4 of the present embodiment is realized by a known technique, and thus detailed description thereof is omitted.

The information processing apparatus 1 includes a control unit 10, a data acquisition unit 20, a structure analysis unit 30, and an output unit 40.
The control unit 10 controls the overall operation of the information processing apparatus 1. In addition, the control unit 10 receives various requests input by the designer via the input device 2. Then, according to the received request, the control unit 10 controls the data acquisition unit 20, the structure analysis unit 30, and the output unit 40 to perform processing according to the request from the designer.

The data acquisition unit 20 communicates with an external device (for example, the CAD device 4) connected to the network NW, and exchanges data with the external device. For example, the data acquisition unit 20 accesses the CAD device 4 via the network NW and acquires design information (CAD information) stored in the CAD device 4.
Further, the data acquisition unit 20 receives an input of “analysis conditions (physical property value information, constraint conditions, load conditions)” of the structure to be analyzed, which is input by the designer via the input device 2.

The structural analysis unit 30 uses the design information of the structure acquired from the CAD device 4 and the “analysis condition” to execute each processing step shown in FIG. 3 and FIG. The weak body part (countermeasure part) that needs to be obtained is obtained, or the countermeasure for strengthening the rigidity of the countermeasure part is selected.
The output unit 40 acquires the analysis result from the structure analysis unit 30, generates image information indicating the analysis result (see FIG. 6), and outputs the generated image information to the output device 3.

Next, a hardware configuration of the information processing apparatus 1 according to the present embodiment will be described.
FIG. 2 is a hardware configuration diagram of the information processing apparatus according to the present embodiment.
As shown in the figure, the information processing apparatus 1 includes a CPU (Central Processing Unit) 50, a main storage device 51 configured by a RAM (Random Access Memory), etc., an I / O interface 52, and an auxiliary device configured by a hard disk or the like. It has a storage device 53 and a network interface 54 that controls data exchange between devices connected to the network NW.
The auxiliary storage device 53 stores a program (design support program 55) for realizing the functions of the above-described units (the control unit 10, the data acquisition unit 20, the structure analysis unit 30, and the output unit 40). Yes.

  The function of each unit (the control unit 10, the data acquisition unit 20, the structure analysis unit 30, and the output unit 40) of the information processing apparatus 1 is such that the CPU 50 stores the program stored in the auxiliary storage device 53 into the main storage device 51. This is realized by loading and executing the program.

Next, a structure design support process performed by the design support apparatus W of the present embodiment will be described with reference to FIGS.
FIG. 3 is a flowchart showing the procedure of a structure design support process performed by the design support apparatus according to the embodiment of the present invention. FIG. 4 is a flowchart specifically showing the procedure of the process of S7 shown in FIG. FIG. 5 is a schematic diagram for explaining a functional formula used for calculating the spring constant in the embodiment of the present invention.
FIG. 6 is a schematic diagram showing an example of instrument panel countermeasure part information output by the design support apparatus according to the embodiment of the present invention.
In the following description, a case where the structure to be evaluated is an instrument panel of an automobile is taken as an example. Further, the finite element method used in the following processing steps is the same as a well-known one.

First, the data acquisition unit 20 of the information processing apparatus 1 reads data to be evaluated (S1).
Specifically, the data acquisition unit 20 accesses the CAD device 4 via the network NW, acquires instrument panel design information (CAD information) stored in the CAD device 4, and stores the memory of the information processing device 1. The acquired instrument panel design information is stored in the main storage device 51 or the auxiliary storage device 53.

Next, the data acquisition unit 20 of the information processing apparatus 1 accepts setting of analysis conditions (S2).
Specifically, the data acquisition unit 20 inputs “analysis conditions (physical property value information, restraint conditions, load conditions (equally distributed load, concentrated load) of instrument panel to be analyzed” input by the designer via the input device 2. Load ”) is received, and the received analysis condition is stored in the memory (main storage device 51 or auxiliary storage device 53) of the information processing apparatus 1.

  Next, the structure analysis unit 30 of the information processing apparatus 1 uses the “structure (instrument) design information” and “structure (instrument) analysis conditions” stored in the memory to predetermine the entire instrument panel. The structural analysis by the finite element method (equal distribution load rigidity CAE) is applied to obtain the instrument panel displacement, and the maximum displacement part (countermeasure part candidate) of the instrument panel is identified from the displacement (S3) The process proceeds to S4.

Specifically, in S3, the structural analysis unit 30 is in a direction substantially orthogonal to the design surface of the instrument panel with respect to the instrument panel one surface (for example, the design surface arranged on the vehicle compartment side) formed in a substantially plate shape. A structural analysis is performed by a finite element method to which an evenly distributed load (Z1 (N)) is applied, and a displacement (X (mm)) of the design surface of the instrument panel 100 is obtained.
And the structure analysis part 30 specifies the area | region where the displacement amount is the largest among the calculated | required instrument panel displacements as a maximum displacement site | part (countermeasure site candidate). That is, in this step (S10), one maximum displacement part (countermeasure part candidate) is specified.

Next, the structure analysis unit 30 uses the “structure (instrument) design information” and “structure (instrument) analysis conditions” stored in the memory to determine the maximum displacement site (measures) A structural analysis by the finite element method (rigidity CAE due to the concentrated load) with a predetermined concentrated load (Z2 (N)) is applied to the region candidate), and the displacement (X (Mm)) is obtained (S4).
Next, the structural analysis unit 30 determines whether or not the obtained displacement (X (mm)) satisfies a predetermined requirement (target value) (S5), and if satisfied, proceeds to S13. If not satisfied, the process proceeds to S6.

Specifically, for example, when the requirement (target value) is defined as “within a1 (mm)”, the structural analysis unit 30 determines that the maximum of the displacement (X (mm)) obtained in S4 is It is determined whether or not the displacement (Xmax (mm)) is within the target value (a1 (mm)).
If the displacement (Xmax) is larger than the target value (a1 (mm)) (Xmax> a1), the structure analysis unit 30 proceeds to S6. That is, if the obtained displacement (Xmax (mm)) does not satisfy a predetermined requirement (target value), the structural analysis unit 30 determines the maximum displacement portion specified in S3 as a countermeasure portion (a portion requiring rigidity enhancement). ) And the process proceeds to S6.
On the other hand, if the displacement (Xmax) is equal to or less than the target value (a1 (mm)) (Xmax ≦ a1), the structural analysis unit 30 proceeds to S13, and there is no countermeasure part (part requiring rigidity enhancement) in the instrument panel. It determines with it and it complete | finishes a process.

In each processing step of S3 to S5, the structure analysis unit 30 sends the above analysis result (information indicating instrument panel displacement) to the output unit 40 and causes the output unit 40 to display the analysis result. Good. In this case, the output unit 40 receives the analysis result from the structural analysis unit 30, and generates image information (information indicating the maximum displacement unit) indicating the displacement of the instrument panel using the analysis result. For example, FIG. Is displayed on the output device 3.
Moreover, the code | symbol 100 in FIG. 6 has shown the instrument panel of the motor vehicle. The illustrated image information shows the design surface of the instrument panel 100 in a state where the design surface is color-coded according to the amount of displacement, and the region denoted by reference numeral 110 is the maximum displacement portion.

Returning to FIG. 3, the processing after S6 that is performed when it is determined in S5 that the displacement (Xmax (mm)) does not satisfy the predetermined requirement (target value) will be described.
In S6, the structure analysis unit 30 registers the maximum displacement part (countermeasure part candidate) identified in S3 as a countermeasure part (part requiring rigidity enhancement).
Specifically, the structure analysis unit 30 sets the maximum displacement site specified in S3 in a predetermined area of the memory (main storage device 51 or auxiliary storage device 53) of the information processing device 1 as a countermeasure site (a site requiring rigidity enhancement). ).

Next, the structure analysis unit 30 sets a linear spring to the countermeasure site registered in S6, and increases the rigidity of the countermeasure site in a pseudo manner (S7).
Here, the procedure of the process performed in S7 will be described in detail with reference to FIG.

  As shown in FIG. 4, in S7, first, the structural analysis unit 30 calculates the spring constant A of the linear spring used to artificially increase the rigidity of the countermeasure part registered in S6 (S71), and the countermeasure part. Then, a linear spring having the calculated spring constant A is set (S71), and the rigidity of the countermeasure part is artificially increased.

Specifically, the structure analysis unit 30 holds a function equation of [Equation 1] shown below (a function equation for calculating the spring constant A), and the above X in the function equation is represented by S4 described above. The spring constant A of the linear spring is obtained by substituting the displacement (Xmax (mm)) of the countermeasure part (maximum displacement part in the stage of S4) before the obtained linear spring is applied.
[Equation 1]
Y = aX−b
Y: Spring constant A, X: Displacement of countermeasure part before applying linear spring a, b: Constant

Note that the above [Equation 1] is a functional expression showing the relationship between “the spring constant of the linear spring set for the countermeasure part” and “the displacement of the countermeasure part before applying the linear spring”. The data obtained by evaluating the rigidity of the actual instrument panel is the data that correlates the "spring constant of the optimal linear spring set for the countermeasure part" and "displacement of the countermeasure part before applying the linear spring" for multiple types of instrument panel It is an approximate expression obtained by collecting a plurality of data and statistically processing the collected data group.
Further, in the present embodiment, the structure analysis unit 30 holds a function expression (function of [Equation 1]) obtained in advance (the function expression is included in the design support program 55 (see FIG. 2)). The spring constant A is calculated using the function formula, but this is only an example.
For example, the function expression is stored in a predetermined area of the memory (main storage device 50 or auxiliary storage device 53) of the information processing apparatus 1, and the structure analysis unit 30 stores the function stored in the memory when necessary. An expression may be used.

Here, the above-described function formula of [Equation 1] will be described with reference to FIG.
As a result of repeated research on the structural analysis of structures such as instrument panels, the inventors of the present application have determined that the spring constant of the linear spring used to artificially increase the rigidity of the countermeasure part of the structure such as the instrument panel and the linear spring It was found that there is a strong correlation with the displacement (Xmax) of the countermeasure site before setting.
Moreover, it has been found from the above research that there is the correlation regardless of the shape of a structure such as an instrument panel or the position of a countermeasure site. For example, even in an instrument panel that is convex with respect to one side (for example, a design surface arranged on the passenger compartment side), an instrument panel that is concave with respect to one side, regardless of the shape, It was found that there was a correlation.

  Therefore, as shown in FIG. 5, the inventors of the present invention take “displacement of the countermeasure site before application of the linear spring” on the X axis and “spring constant of the linear spring set as the countermeasure site” on the Y axis. The XY coordinate plane was created, and on the XY coordinate plane, the spring constant of the optimal linear spring set as the countermeasure area of multiple types of instrument panel obtained by experiment or actual instrument panel rigidity evaluation ”And“ displacement of the countermeasure part before applying the linear spring ”are plotted, an approximate expression by the least square method is obtained, and the approximate expression is expressed as“ a functional expression for calculating the spring constant A ”. "." As a result, the spring constant A can be calculated by the above function formula regardless of the shape of the instrument panel and the position of the countermeasure part, and the man-hours for selecting the linear spring can be reduced.

Returning to FIG. 4, the processing of S73 to S74 performed after S72 described above will be described.
In S73, the structural analysis unit 30 performs a structural analysis (rigidity CAE due to the concentrated load) by a finite element method to which a predetermined concentrated load (Z3 (N)) is added to the countermeasure site where the linear spring is set, The displacement (B (mm)) of the countermeasure part set with the linear spring is obtained.

Next, the structural analysis unit 30 determines whether or not the displacement (B (mm)) of the countermeasure part obtained in S73 satisfies a predetermined requirement. If the predetermined requirement is satisfied, the process of S7 is finished and the process of FIG. The process proceeds to S8. If the predetermined requirement is not satisfied, the process proceeds to S75 (S74).
Specifically, the structural analysis unit 30 determines that the displacement (B (mm)) of the countermeasure part set with the linear spring obtained in S73 is within a predetermined range (b1 (mm) ≦ B (mm) ≦ b2 (mm )), It is determined that the linear spring set in S72 is optimal, and the process of S7 is terminated, and the process proceeds to S8 of FIG.
On the other hand, the structural analysis unit 30 determines that the displacement (B (mm)) of the countermeasure part set with the linear spring obtained in S73 is within a predetermined range (b1 (mm) ≦ B (mm) ≦ b2 (mm)). If not, the process proceeds to S75, and the spring constant of the linear spring set in S72 is corrected.

In S75, the structure analysis unit 30 corrects the spring constant A of the linear spring set in S72 by using the correction values (α, −α) associated with the value of the displacement B of the countermeasure site obtained in S73. Then, the process returns to S73 described above.
In the illustrated example, when the displacement B is smaller than b1 (B <b1), the correction value (α) is subtracted from the spring constant A (A−α), and when the displacement B is larger than b2 (B > B2), the spring constant A is corrected by adding the correction value (α) to the spring constant A (A + α), but this is only an example.
For example, a correction value may be determined in association with the value of the displacement B, and the spring constant A may be multiplied (or divided) by the correction value according to the displacement B.

As described above, the linear spring set in S72 is verified and corrected if the predetermined requirement is not satisfied for the following reason.
Specifically, in the present embodiment, the spring constant A of the linear spring is set by the above-described function formula [Equation 1] regardless of the shape of the instrument panel and the position of the countermeasure part. Thus, it was found that there was a slight deviation from the optimal value of the set linear spring depending on the type of instrument panel and the position of the countermeasure site (it was found that there was a slight error).
Therefore, in this embodiment, the linear spring set in S72 is verified and corrected if the predetermined requirement is not satisfied, thereby ensuring the reliability of the linear spring setting process. In this embodiment, the design support apparatus W automatically verifies and corrects the spring constant, so that the designer is not burdened.

Returning to FIG. 3, the processing after S8 performed following the processing of S7 will be described.
In S8, the structural analysis unit 30 applies one surface of the instrument panel (for example, a design surface arranged on the vehicle compartment side) to the instrument panel whose rigidity is improved in S7 by the same method as in S3 described above. On the other hand, structural analysis is performed by a finite element method to which an evenly distributed load (Z1 (N)) is applied, and the displacement (X (mm)) of the design surface of the instrument panel 100 is obtained.
And the structure analysis part 30 specifies the area | region where the displacement amount is the largest among the calculated | required instrument panel displacements as a largest displacement site | part (next countermeasure site | part candidate).

Next, the structural analysis unit 30 adds a predetermined concentrated load (Z2 (N)) to the maximum displacement part (countermeasure part candidate) specified in S8 by the same method as S4 described above. The structural analysis (rigidity CAE by concentrated load) is carried out to determine the instrument panel displacement (X (mm)) (S9).
Next, the structural analysis unit 30 uses a method similar to S5 described above, and the maximum displacement (Xmax (mm)) of the obtained displacements (X (mm)) satisfies a predetermined requirement (target value). It is determined whether or not satisfied (S10). If satisfied, the process proceeds to S11. If not satisfied, the process returns to S6, and the above-described processes of S6 to S10 are repeated.

Next, in S11, the structure analysis unit 30 presents the countermeasure site registered in each processing step described above (S11), and then performs the necessary site CAE for the countermeasure site and performs specific countermeasures for the countermeasure site. (Addition of ribs, increase in plate thickness, etc.) is obtained (S12), and the process is terminated.
Specifically, in S <b> 11, the structure analysis unit 30 reads the countermeasure part stored in the memory, sends the countermeasure part (information indicating the necessity of instrument panel countermeasures) to the output unit 40, and outputs the countermeasure part to the output unit 40. Display the instrument control area. In this case, the output unit 40 generates image information indicating the countermeasure part of the instrument panel using the information indicating the countermeasure part from the structure analysis unit 30, and displays the image information on the output device 3.
In addition, since the process of S12 uses a well-known technique, the detailed description is abbreviate | omitted.

As described above, the design support apparatus W according to the present embodiment obtains in advance the selection of the linear spring (selection of the spring constant A) used for artificially increasing the rigidity of the countermeasure part of the structure (instrument panel). The function equation that has been set and the displacement of the countermeasure site before the linear spring is applied are used.
That is, according to the design support apparatus W of the present embodiment, the spring constant A is selected by using a function equation obtained in advance and the displacement of the countermeasure part before the linear spring is applied. There is no need to repeat the trial and error process. As a result, according to the present embodiment, the man-hours for the selection process of the linear spring can be reduced, so that the work time for evaluating the rigidity of the structure can be shortened.
Furthermore, since the above function formula can be applied regardless of the shape of the instrument panel and the position of the countermeasure part, the burden of selecting the linear spring that has been performed based on the empirical rule of the operator can be reduced.

  Further, in the present embodiment, verification is performed on the linear spring selected based on the function formula obtained in advance and the displacement of the countermeasure site before the linear spring is applied (S73 to S75 in FIG. 4). Thus, the spring constant A of the linear spring is corrected. This process ensures the reliability of the linear spring setting process.

Since the selection process of the linear spring, the verification process of the selected linear spring, and the correction process according to the need of the selected linear spring are all automatically performed by the design support device W, the designer There is no burden on the work.
In addition, this invention is not limited to embodiment mentioned above, A various deformation | transformation is possible within the range of the summary.

For example, in the above-described embodiment, the structure analysis unit 30 uses a function expression (function expression of [Equation 1]) obtained in advance in order to calculate the spring constant, but is particularly limited to this. It is not a thing.
In a predetermined area of the memory (the main storage device 51 and the auxiliary storage device 53) of the information processing apparatus 1, a database for calculating the function formula (an optimum linear spring set as a countermeasure part of the instrument panel obtained by an experiment) ”Is a database that collects data associating“ spring constants ”and“ displacement of countermeasure sites before linear springs ”.
Then, each time the process of S71 shown in FIG. 4 is performed, the structure analysis unit 30 may obtain the function formula using data registered in the database.
Further, when the spring constant is corrected in S73 to S75 in FIG. 4, “corrected spring constant (the spring constant of the linear spring satisfying the predetermined requirement in S74 executed after correction)” and “linear spring” are stored in the database. Is added and registered.
By configuring in this way, the value when the spring constant is corrected is reflected in the data that is the basis for calculating the function expression, so that the reliability of the function expression to be calculated can be improved.

W ... Design support device 1 ... Information processing device 2 ... Input device 3 ... Output device 4 ... CAD device 10 ... Control unit 20 ... Data acquisition unit 30 ... Structure analysis unit 40 ... Output unit 50 ... CPU
51 ... Main storage device 52 ... I / O interface 53 ... Auxiliary storage device 54 ... NW interface 55 ... Design support program 100 ... Instrument panel

Claims (4)

A design support program for causing an information processing device to perform a rigidity evaluation of a structure,
Using input data including design information, physical property value information, constraint conditions, and load conditions of the structure, structural analysis is performed by the finite element method with an equally distributed load applied to the structure, and the displacement of the structure is obtained. , Identifying the region with the largest displacement as a countermeasure site candidate, performing a structural analysis by a finite element method in which a concentrated load is applied to the countermeasure site candidate, obtaining the displacement of the countermeasure site candidate, Performing a determination process for determining whether or not a countermeasure part candidate corresponds to a countermeasure part that requires rigidity enhancement depending on whether or not satisfies a predetermined requirement;
When it is determined that it corresponds to the countermeasure part, a spring constant of a linear spring is calculated from the obtained displacement of the candidate countermeasure part and a predetermined function formula, and the calculated spring constant of the linear spring is applied to the countermeasure part. A design support program comprising the steps of: setting, artificially increasing the rigidity of the countermeasure part, and performing the determination process again to determine the presence or absence of the next countermeasure part.   The function formula is data obtained by collecting data in which the spring constant of the linear spring and the displacement of the countermeasure part before setting the linear spring are associated with each other, obtained by experiment or by evaluating the rigidity of the actual structure. The design support program according to claim 1, wherein the design support program is an approximate expression obtained by statistically processing a group.   When a linear spring having the calculated spring constant is set as the countermeasure part, a structural analysis is performed by a finite element method in which a concentrated load is applied to the countermeasure part where the linear spring is set to obtain a displacement of the countermeasure part. 3. The design support program according to claim 1 or 2, wherein the calculated spring constant is corrected if the obtained displacement does not satisfy a predetermined standard. A design support device that performs structural analysis by a finite element method using input data including design information of a structure, physical property value information, constraint conditions, and load conditions, and evaluates the rigidity of the structure,
Using the input data, structural analysis is performed by a finite element method in which an equally distributed load is applied to the structure to obtain a displacement of the structure, a region where the displacement is the largest is identified as a countermeasure site candidate, Perform structural analysis by the finite element method with concentrated load applied to the countermeasure part candidate to determine the displacement of the countermeasure part candidate, and the countermeasure part candidate needs to strengthen its rigidity depending on whether the displacement of the countermeasure part candidate satisfies a predetermined requirement Having a structure analysis means for performing a determination process for determining whether or not it corresponds to an appropriate countermeasure site,
When it is determined that the structure analysis unit corresponds to the countermeasure part, the structure analysis unit calculates a spring constant of a linear spring based on the displacement of the obtained countermeasure part candidate and a predetermined function formula, and the calculation is performed on the countermeasure part. A design support apparatus, wherein a linear spring having a spring constant is set and the rigidity of the countermeasure part is artificially increased, and then the determination process is performed again to determine the presence or absence of the next countermeasure part.

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