JP2015028720A - Bridge body structure design method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To determine optimum solution of arrangement of a binder in a short time.SOLUTION: Provided is a method for designing, using a computer 1, a bridge body structure 2 of an architectural structure B comprising braces 3 and a beam 4, in which the beam 4 includes plural girders 7 for connecting the braces 3 horizontally, and plural binders 8 for further dividing a horizontal bridge structure surface 9 surrounded by the plural girders 7. The horizontal bridge structure surface 9 includes an arrangement plan position 21 of the binders 8 where the binders 8 are required based on a structure of the architectural structure B. The design method of the invention includes: a step S2 for inputting a design limitation condition including the arrangement plan position 21; a group creation step S3 for creating a group 31 formed of plural kinds of pieces of chromosome information 26 which are numerical information for identifying arrangement of the binders 8 based on the design limitation condition; and an optimization calculation step S4 for calculating, using the group 31, an optimum solution of the arrangement of the binders 8 on the basis of genetic algorithm. In the group creation step S3, the chromosome information 26 is created so as to include the binders 8 passing through the arrangement plan positions 21 surely.

Description

  The present invention relates to a frame structure design method capable of obtaining an optimal solution for the arrangement of small beams in a short time.

  For example, a building frame of a building by a shaft construction method has structural members including columns and beams. Further, the beam includes a plurality of large beams that horizontally connect between the columns, and a small beam that further classifies the horizontal frame surrounded by the large beams.

  Design factors including the arrangement and cross-sectional shape of the beam are determined according to the shape of the building and the load conditions. 2. Description of the Related Art Conventionally, a design factor that can increase the strength of a frame body while satisfying the shape and load conditions of a building has been obtained using a computer.

Japanese Patent No. 4712075

  For example, in order to obtain an optimal solution for the arrangement of the small beams, it is conceivable to create a plurality of types of arrangement patterns for the small beams and calculate the optimal solution for the arrangement of the small beams. However, such a method has a problem that, for example, an undesirable arrangement pattern in which no beam is arranged is created at a position where the beam is required. Such an undesired arrangement pattern is excluded from the optimum solution of the arrangement of the beam. Therefore, as the number of undesired arrangement patterns increases, the calculation efficiency decreases, and there is a problem that it takes a lot of time to obtain the optimum solution for the arrangement of the beam.

  The present invention has been devised in view of the above circumstances, and has as its main object to provide a frame structure design method capable of obtaining an optimal solution for the arrangement of small beams in a short time.

  The frame structure design method according to the present invention includes a column and a beam, and the beam includes a plurality of large beams that horizontally connect the columns, and a plurality of small frames that further divide a horizontal frame plane surrounded by the large beams. A method for designing a structure of a building including a beam using a computer, wherein the horizontal frame is arranged in accordance with the structure of the building. A step of inputting a design constraint condition including a planned position and including the planned layout position into the computer; and numerical information for the computer to specify the arrangement of the beam based on the design constraint condition A population generation step of generating a population composed of a plurality of types of chromosome information, and an optimization calculation step in which the computer uses the population to calculate an optimal solution for the arrangement of the beam based on a genetic algorithm. Including the group Forming step, and generates the chromosome information as the beams are always included through the planned placement position.

  In the frame design method according to the present invention, it is preferable that the planned arrangement position includes a planned arrangement straight line specified by at least two coordinate values in the horizontal frame plane.

  In the design method of the frame according to the present invention, it is preferable that the building has an opening in the horizontal frame surface, and the planned arrangement straight line is set to at least a part of the periphery of the opening. .

  In the frame structure designing method according to the present invention, it is desirable that the planned arrangement position includes a planned arrangement point specified by one coordinate value in the horizontal frame plane.

  In the design method of the frame body according to the present invention, it is preferable that the building has a bundle of sheds supported by the horizontal frame surface, and the arrangement planned point is set to a position for supporting the shed bundle. .

  In the frame structure designing method according to the present invention, the chromosome information is defined regardless of the first information portion for defining the first beam passing through the planned placement position and the planned placement position. It is desirable to include a second information part for defining two beams.

  In the frame structure designing method according to the present invention, the first information portion is set, for each of the first beam beams, a first beam beam that defines an arrangement of the first beam beams. One trabecular gene includes order information indicating the order in which the first traverse is arranged on the horizontal frame, arrangement information in which the position of the first trawl is designated in advance, and the direction of the first trabecule It is desirable to include direction information indicating

  In the frame structure designing method according to the present invention, each horizontal frame surface is divided into a plurality of small frame surfaces by the small beams, and the second information portion is divided into a plurality of small beam surfaces for each second small beam. 2 trabecular genes are set, the second trabecular gene includes order information indicating the order in which the second trabecules are arranged on a horizontal frame, and the horizontal frame or It is desirable to include frame surface information for specifying the frame surface, direction information indicating the direction of the second beam, and arrangement information for specifying the position of the second beam.

  In the design method of the frame according to the present invention, the order of the second beam of the second information part is assigned excluding the order of the first beam used in the first information part. It is desirable that

  The frame structure design method according to the present invention includes a column and a beam, and the beam includes a plurality of large beams that horizontally connect the columns, and a plurality of small frames that further divide a horizontal frame plane surrounded by the large beams. A method for designing a building frame including a beam using a computer, wherein the horizontal frame includes an arrangement prohibition position where the small beam cannot be arranged based on the structure of the building, A step of inputting design constraint conditions including the placement prohibition position to the computer, and a plurality of types of chromosome information that is numerical information for the computer to identify the placement of the beam based on the design constraint conditions A group generation step of generating a group consisting of: and an optimization calculation step in which the computer calculates an optimal solution of the arrangement of the beam using the group based on a genetic algorithm, Craft It is characterized by generating the chromosome information so that it does not contain the beams passing through the placement prohibited position.

  The present invention includes a column and a beam, and the beam includes a plurality of large beams that horizontally connect between the columns, and a plurality of small beams that further classify a horizontal frame surrounded by the large beams. It is a method for designing using a computer. The horizontal frame includes the planned position of the beam where the beam is required based on the structure of the building.

  In the frame design method of the present invention, a process of inputting design constraint conditions including a planned placement position to a computer, and chromosome information that is numerical information for specifying the placement of a small beam based on the design constraint conditions. It includes a group generation step for generating a group consisting of a plurality of types, and an optimization calculation step for calculating an optimal solution for the arrangement of the beam using the group based on a genetic algorithm. Accordingly, in the present invention, chromosome information can be evolved in time series from a small number of samples based on a genetic algorithm, so that an optimal solution for the arrangement of beamlets can be obtained in a short time.

  Further, in the group generation step, chromosome information is generated so that a beam that passes through the planned placement position is always included. In such a frame design method, it is possible to prevent chromosome information defining an undesirable arrangement pattern in which a small beam is not arranged at a planned arrangement position. Therefore, in the frame design method of the present invention, it is possible to prevent a reduction in calculation efficiency and to obtain an optimal solution for the arrangement of the small beams in a short time.

It is a perspective view of the computer which performs the design method of this embodiment. It is a perspective view which shows the frame of a building. FIG. 3 is a plan view of the frame body of FIG. 2. (A) is a plan view of the horizontal frame surface on which the first beam is arranged, and (b) is a plan view of the horizontal frame surface on which the second beam is arranged. It is a flowchart which shows an example of the process sequence of the design method of this embodiment. It is a flowchart which shows an example of the process sequence of the basic information input process of this embodiment. It is a perspective view of the frame of a building. (A) is a top view of the 1st horizontal frame surface which excluded the small beam, (b) is a top view of the 1st horizontal frame surface where the small beam was arrange | positioned. It is a conceptual diagram of the group which consists of multiple types of chromosome information. It is a conceptual diagram which shows an example of the 1st information part and 2nd information part of a 1st horizontal frame. It is a flowchart which shows an example of the process sequence of the group production | generation process of this embodiment. It is a top view which shows the horizontal frame in which the small beam is not arrange | positioned. (A), (b) is a top view of the horizontal frame in which one small beam is arrange | positioned. It is a top view explaining arrangement | positioning of the 1st 2nd small beam. It is a top view explaining arrangement | positioning of a 1st opening small beam. It is a top view explaining arrangement | positioning of a 1st shed bundle beam. It is a top view explaining arrangement | positioning of a 3rd opening small beam. It is a top view explaining arrangement | positioning of a 2nd opening small beam. It is a top view explaining arrangement | positioning of the 2nd 2nd small beam. It is a top view explaining arrangement | positioning of a 4th opening small beam. It is a flowchart which shows an example of the process sequence of an optimization calculation process. It is a diagram which shows the calculation result of a 1st target variable and a 2nd target variable. It is a flowchart which shows an example of the process sequence of the gene operation process of this embodiment. It is a flowchart which shows an example of the process sequence of the next generation group production | generation process of this embodiment. (A) is a conceptual diagram showing chromosome information before crossover, (b) is a conceptual diagram showing chromosome information after crossover. It is a conceptual diagram explaining a mutation. (A), (b) is a top view which shows the horizontal frame surface of other embodiment of this invention. It is chromosome information of other embodiment of this invention.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
The frame structure design method of the present embodiment (hereinafter sometimes simply referred to as “design method”) is a method for designing a frame structure of a building such as an industrialized house using a computer, for example.

  FIG. 1 is a perspective view of a computer that executes the design method of the present embodiment. The computer 1 includes a main body 1a, a keyboard 1b, a mouse 1c, and a display device 1d. The main body 1a is provided with, for example, an arithmetic processing unit (CPU), a ROM, a working memory, a storage device such as a magnetic disk, and disk drive devices 1a1, 1a2.

  The storage device stores in advance processing procedures (programs) of the design method of the present embodiment. This processing procedure is executed by the arithmetic processing unit of the computer 1. Therefore, the computer 1 is configured as a design apparatus 1A for implementing the design method of the present invention.

  FIG. 2 is a perspective view showing a frame of a building, and FIG. 3 is a plan view of the frame of FIG. The frame 2 of the building B has structural members including, for example, columns 3 and beams 4. The beam 4 includes a plurality of large beams 7 that horizontally connect the columns 3 and 3, and a small beam 8 that further divides the horizontal frame 9 surrounded by the large beams 7. The large beam 7 and the small beam 8 are configured as a floor beam for supporting a floor (not shown) of two or more floors or a roof beam for supporting the roof 10. Moreover, the large beam 7 and the small beam 8 are comprised from the substantially horizontal H-shaped shape steel etc., for example.

  Further, the building B has an opening 11 such as a staircase or a stairwell on each horizontal frame surface 9 and a shed bundle 12 supported by the horizontal frame surface 9. The opening 11 is formed by the large beam 7 or the small beam 8. The opening 11 of the present embodiment is formed of, for example, a first side 11a, a second side 11b, a third side 11c, and a fourth side 11d on the horizontal frame 9 at the lower left in FIG. Has been. Moreover, the shed bundle 12 is comprised from the 1st shed bundle 12a arrange | positioned in the horizontal frame surface 9 of the lower left of FIG. Such a shed bundle 12 is supported by the horizontal frame 9 by arranging the large beam 7 or the small beam 8 at the lower end thereof.

  FIG. 4A and FIG. 4B are plan views of the horizontal frame. As shown in FIG. 4A, each horizontal frame 9 is divided into two small frames 13 by arranging the first beam 8a. Furthermore, as shown in FIG. 4B, the horizontal frame 9 has three small frames 8b by arranging the second beam 8b on one of the two small frames 13. It is divided into 13. Thus, the horizontal frame 9 is divided into a plurality of small frames 13 by arranging the small beams 8.

  In this embodiment, in FIG. 4A, when divided into two small frame surfaces 13, the small frame surface 13 closest to the reference point 15a, which is the lower left apex of the horizontal frame surface 9, is the first small frame. A frame surface 13a is used, and the other frame surface 13 is a second frame surface 13b. Furthermore, in the present embodiment, in FIG. 4B, when the second small construction surface 13b (shown in FIG. 4A) is further divided into two small construction surfaces 13, the second small construction surface 13b. The small frame surface 13 closest to the reference point 15b, which is the lower left apex, is the second small frame surface 13b, and the other small frame surface 13 is the third small frame surface 13c.

  FIG. 5 is a flowchart illustrating an example of a processing procedure of the design method according to the present embodiment. In this design method, an optimal solution for the arrangement of the small beams 8 (shown in FIG. 4) is calculated, and the frame 2 and the building B are manufactured based on the optimal solution.

  In the design method of the present embodiment, first, basic information of the building B is input to the computer 1 (basic information input step S1). FIG. 6 is a flowchart illustrating an example of a processing procedure of a basic information input process according to the present embodiment.

  In the basic information input step S1 of the present embodiment, first, the shape of the building B is input to the computer 1 (step S11). FIG. 7 is a perspective view of a building frame of a building. In this step S <b> 11, for example, the shapes and arrangement positions of the pillar 3, the large beam 7, the horizontal frame 9 and the roof 10 of the building B shown in FIGS. 2 and 3 are input to the computer 1. In this step S11, the beam 8 (shown in FIGS. 2 and 3) for which the optimum solution is calculated is not input.

  As shown in FIG. 7, the arrangement, length, and the like of the pillar 3 and the large beam 7 are set with reference to a predetermined horizontal module or vertical module. The pillar 3 and the large beam 7 are fixed by, for example, a pin 16 in which a bolt is modeled. Thereby, the frame 2 and the horizontal frame 9 excluding the small beam 8 (shown in FIG. 2) are set. Furthermore, the long beam 7 of the present embodiment is arranged such that its longitudinal direction is along the X-axis direction or the Y-axis direction.

  Further, for the pillar 3 and the large beam 7, for example, parameters necessary for structural calculation such as a cross-sectional shape and a secondary moment of the cross-section are set. Such arrangement and parameters of the pillars 3 and the large beams 7 are all stored in the computer 1 as numerical data.

  The horizontal frame 9 according to the present embodiment includes a first horizontal frame 9a to a fourth horizontal frame 9d that supports the roof 10 (shown in FIG. 3), and a fifth horizontal frame 9e to a second frame that supports the second floor. 8 horizontal frame 9h.

  FIG. 8A is a plan view of the first horizontal frame 9a without the small beam 8, and FIG. 8B is a plan view of the first horizontal frame 9a on which the small beam 8 is arranged. As shown in FIG. 8A representatively of the first horizontal frame 9a, each horizontal frame 9a-9h is defined with a plurality of nodes 17 arranged at equal intervals according to the horizontal module. ing. Such horizontal frame surfaces 9 a to 9 h are stored in the computer 1.

  The arrangement and shape of the roof 10 (shown in FIG. 3) are set on the basis of the horizontal module or the vertical module, similarly to the pillar 3 and the beam 4. Such an arrangement of the roof 10 is stored in the computer 1 as numerical data.

  Next, in this embodiment, the load condition of the building B (shown in FIG. 2) is input to the computer 1 (step S12). The load condition is information regarding an external force acting on the building B. The load condition is input based on various specifications of the building B, for example, an outer wall specification, a floor specification, a roof covering material, a fire resistance specification, an earthquake resistance grade, or a wind resistance grade. Such a load condition is also numerical data and is stored in the computer 1.

  The basic building information can be set using software such as general CAD and a consistent structural calculation system. In the present embodiment, the two-story building B is shown as an example, but it may be, for example, a one-story building or a three-story building or more.

  Next, design constraint conditions for placing the beam 8 on the frame 2 are input to the computer 1 (step S2). As shown in FIG. 8A, the design constraint conditions of the present embodiment include the direction of the small beam 8 and the fixable position in each horizontal frame surface 9a to 9h.

  As shown in FIG. 8B, the direction of the small beam 8 of the present embodiment is defined with reference to the longitudinal direction. This longitudinal direction is limited to the X-axis direction or the Y-axis direction in the drawing. The longitudinal direction is not limited to such a mode, and may be limited to any direction including, for example, a component in the X-axis direction and a component in the Y-axis direction.

  As a fixable position of the small beam 8 of this embodiment, it arrange | positions on the basis of the node 17 defined according to the horizontal module. Both ends 8t and 8t (shown in FIG. 4) of the small beam 8 are arranged so as to contact the node 17 defined by the large beam 7 or the small beam 8. In addition, in the drawing, “●” indicates a win and “◯” indicates a loss of the big beam 7 or the small beam 8.

  Further, the design constraint condition includes an upper limit value of the number of small beams 8 arranged on each horizontal frame 9a to 9h. This upper limit value is set to be equal to or less than the maximum number of small beams 8 that can be arranged on each horizontal frame surface 9a to 9h. Moreover, an upper limit can be arbitrarily set according to various conditions, such as intensity | strength required for the frame 2, and cost. For example, “7” is set as the upper limit value in the present embodiment.

  As shown in FIG. 8A, the design constraint condition includes a planned placement position 21 of the small beam 8. Based on the structure of the building B (shown in FIG. 2), the planned placement position 21 is a position where the small beam 8 is required on each of the horizontal frame surfaces 9a to 9h. By generating the arrangement pattern of the small beam 8 based on the planned arrangement position 21, the small beam 8 (shown in FIG. 8B) passing through the arrangement position 21 can be included. The small beam 8 passing through the planned placement position 21 only needs to be arranged in the entire area of the planned placement position 21. For example, the small beam 8 may be placed outside the planned placement position 21.

  The planned placement position 21 is set based on the nodes 17 of the horizontal frame surfaces 9a to 9h. The planned placement position 21 of the present embodiment includes a planned placement straight line 21a defined on each horizontal frame 9a-9h and a planned placement point 21b.

  The planned placement straight line 21a is specified by at least two coordinate values (two coordinate values in the present embodiment) on each of the horizontal frame surfaces 9a to 9h. This coordinate value is the coordinate value of the nodes 17 and 17 at which both ends of the planned arrangement line 21a are arranged. Such an arrangement planned straight line 21a is set, for example, around the opening 11 (shown in FIG. 3) or at an arrangement position of a handrail (not shown). The planned placement straight line 21 a of the present embodiment is set at least at a part around the opening 11 and is defined as the planned opening position 22. The planned opening position 22 is set for each of the horizontal frame surfaces 9a to 9h.

  The planned opening position 22 is, for example, a first planned opening position 22a and a second side 11b (in FIG. 3) that define the position of the first side 11a (shown in FIG. 3) of the opening 11 in the first horizontal frame 9a. 2nd planned opening position 22b that defines the position of the third side 11c (shown in FIG. 3), the third planned opening position 22c that defines the position of the third side 11c (shown in FIG. 3), and the position of the fourth side 11d (shown in FIG. 3) Includes a fourth planned opening position 22d.

  The planned placement point 21b is specified by the coordinate value of one node 17 on each horizontal frame 9a to 9h. Such an arrangement planned point 21b is set at, for example, a position for supporting the shed 12 or a column position (in the case of a flat roof) of a solar panel installation stand. The planned placement point 21b of the present embodiment is set to a position that supports the shed bundle 12 and is defined as the planned shed bundle position 23. The planned shed bundle position 23 is set for each of the horizontal frame surfaces 9a to 9h.

  The shed bundle planned position 23 includes, for example, the first shed bundle planned position 23a that defines the arrangement position of the first shed bundle 12a shown in FIG. 3 on the first horizontal frame 9a. These design constraint conditions are stored in the computer 1.

  Next, the computer 1 generates a group composed of a plurality of types of chromosome information based on the design constraint condition (group generation step S3). Chromosome information is numerical information for specifying the arrangement of the beam 8 (shown in FIG. 4). FIG. 9 is a conceptual diagram of a group composed of a plurality of types of chromosome information, and FIG. 10 is a conceptual diagram showing an example of the first information portion and the second information portion of the first horizontal frame 9a. FIG. 11 is a flowchart illustrating an example of a processing procedure of the group generation step S3 of the present embodiment.

  In the group generation step S3 of the present embodiment, first, a small beam 8 (shown in FIG. 8B) is defined in the computer 1 (step S31). The small beam 8 is numerical data in which a cross-sectional shape, a cross-sectional secondary moment, and the like are defined. Such numerical data is stored in the computer 1.

  Next, chromosome information is defined in the computer 1 (step S32). As shown in FIG. 9, each chromosome information 26 includes a first beam for defining a first beam 29 (shown in FIG. 8B) that passes the planned placement position 21 for each of the horizontal frames 9 a to 9 h. The information part 27 and the 2nd information part 28 for defining the 2nd small beam 30 (shown in FIG.8 (b)) defined irrespective of the arrangement plan position 21 are included. By setting a plurality of types of such chromosome information 26, a group 31 is generated.

  The first information beam 27 is set with a first beam beam locus 33 that can store a first beam beam that defines the arrangement of the first beam beams 29. The first beam beam locus 33 is assigned to each of the first beam beams 29 (shown in FIG. 8B) on each horizontal frame 9a to 9h.

  As shown in FIG. 8B, the first beam 29 of the present embodiment is, for example, the first beam passing through the first planned opening position 22a (shown in FIG. 8A) on the first horizontal frame surface 9a. A first opening small beam 29a, a second opening small beam 29b passing through a second planned opening position 22b (shown in FIG. 8A), and a third opening passing beam 22c (shown in FIG. 8A). A three-opening small beam 29c and a fourth opening-small beam 29d passing through the fourth opening planned position 22d (shown in FIG. 8A) are included. Further, the first beam 29 includes a first beam bundle 29e that passes through the first shed bundle planned position 23a (shown in FIG. 8A). Accordingly, as shown in FIG. 10, the first information beam 27 of the first horizontal frame 9a is assigned the first aperture beam 29a to the fourth aperture beam 29d and the first shed bundle beam 29e. Five first trabecular loci 33 are defined.

  The first beam beam gene of the present embodiment includes order information indicating the order in which the first beam beam 29 (shown in FIG. 8B) is arranged, and arrangement information in which the position of the first beam beam 29 is designated in advance. And direction information indicating the direction of the first small beam 29 is included. Accordingly, each first trabecular locus 33 is set with an order locus 33a that can store order information, a placement locus 33b that can store placement information, and a direction locus 33c that can store direction information. The Such a first information portion 27 is stored in the computer 1.

  In the second information portion 28, a second beam beam gene is set for each second beam beam 30 (shown in FIG. 8A). Accordingly, at least one second beam loci 34 in which the second beam beam gene is stored is set in the second information portion 28.

  The second beam beam locus 34 has an upper limit value (seven in this embodiment) of the number of beam beams 8 set in the design constraint condition on each horizontal frame 9a to 9h (shown in FIG. 7). Only the same number (two in the present embodiment) as the difference from the number of first beam loci 33 in the first information portion 27 (five in the present embodiment) is created. Thereby, the chromosome information 26 is the number of the small beams 8 set in the design constraint condition by combining the first small beam gene locus 33 and the second small beam gene locus 34 in each of the horizontal frames 9a to 9h. It is possible to set loci for the upper limit value.

  The second beam beam according to the present embodiment includes order information indicating the order in which the second beam 30 is arranged, and a frame surface that specifies the horizontal frame 9 or the beam frame 13 on which the second beam 30 is arranged. Information, direction information indicating the direction of the second small beam 30, and arrangement information for specifying the position of the second small beam 30 are included. For this reason, the second trabecular locus 34 includes an order locus 34a that can store order information, a frame surface locus 34b that can store frame surface information, a direction locus 34c that can store direction information, And a placement locus 34d capable of storing placement information. Such a second information portion 28 is stored in the computer 1.

  Next, the computer 1 stores the first beam beam gene in the first information portion 27 of the chromosome information 26 (step S33). As described above, the first trabecular gene includes the order information stored in the order locus 33a, the placement information stored in the placement locus 33b, and the direction information stored in the direction locus 33c. .

  The order information indicates the order in which the first small beams 29 (shown in FIG. 8B) are arranged on the horizontal frame surfaces 9a to 9h (shown in FIG. 7). As shown in FIG. 10, the order information of the present embodiment is defined by the first beam 29 and the second information portion 28 defined by the first information portion 27 in each horizontal frame 9a to 9h. The order including the second small beam 30 (shown in FIG. 8B) is defined. In this embodiment, since the upper limit value of the number of the small beams 8 defined by the design constraint condition is “7”, the order information is defined by an integer of 1 to 7. In addition, the 1st small beam 29 or the 2nd small beam 30 is arrange | positioned from the order with the small numerical value of order information. The order information of this embodiment is randomly determined according to a random number function and stored in the order locus 33a.

The arrangement information specifies the position of the first beam 29 in advance. As shown in FIG. 8A, the arrangement information of the present embodiment is a planned arrangement position 21 of the small beam 8 defined by the design constraint condition. As shown in FIG. 10, on the first horizontal frame 9a, the first opening planned positions 22a to 4th are arranged in the arrangement gene loci 33b of the first opening beam 30a to the fourth opening beam 29d of the present embodiment. The coordinate values of the nodes 17 and 17 (shown in FIG. 8A) at both ends of the planned opening position 22d are set. The coordinate value of one node 17 (shown in FIG. 8A) of the first shed bundle 12a is set in the arrangement locus 33b of the first shed bundle beam 29e. Such arrangement information designates the planned arrangement position 21 where the first beam 29 is arranged. These pieces of arrangement information are uniquely defined by the computer 1 for each of the first opening cross beam 29a to the fourth opening cross beam 29d and the first shed bundle beam 31e. The details of the arrangement information of this embodiment are as follows.
A: Coordinate values of nodes at both ends of the first opening planned position B: Coordinate values of nodes at both ends of the second opening planned position C: Coordinate values of nodes at both ends of the third opening planned position D: Fourth opening position Coordinate values of nodes at both ends E: Coordinate values of nodes at the first shed bundle planned position

The direction information indicates the direction of the first small beam 29. In the direction information of the present embodiment, the longitudinal direction of the first beam 29 is defined. In addition, the direction information is defined by at least one digit character or numerical value, in this embodiment, at least one digit numerical value. Each numerical value that can be taken by the direction information of the present embodiment is 1 or 2, and details are as follows.
1: Parallel to X-axis direction 2: Parallel to Y-axis direction

  In addition, on the first horizontal frame 9a, the direction information of the first aperture beam 29a to the fourth aperture beam 29d is the first aperture position 22a to the fourth aperture position 22d (shown in FIG. 8A). Is uniquely determined based on the arrangement information.

  On the other hand, in the direction information of the first shed bundle beam 29e, since the first shed bundle planned position 23a (shown in FIG. 8A) consists of one node 17, the direction of the first shed bundle beam 29e is unique. Not determined. Therefore, the direction information of the first shed bundle beam 29e is randomly determined according to the random number function.

  Next, the computer 1 stores the second trabecular gene in the second information portion 28 of the chromosome information 26 (step S34). As shown in FIG. 10, the second trabecular gene includes the order information stored in the order locus 34a, the frame surface information stored in the frame surface locus 34b, the direction information stored in the direction locus 34c, And the arrangement information stored in the arrangement locus 34d is included.

  The order information indicates the order in which the second beam 30 (shown in FIG. 8B) is arranged on each horizontal frame 9a-9h (shown in FIG. 7). As for the order information of the present embodiment, the order including the first small beam 29 and the second small beam 30 is defined in each horizontal frame 9a to 9h, similarly to the order information of the first small beam gene. The order of the second beam 30 is assigned except for the order of the first beam 29 used in the first information portion 27 (2, 3, 4, 5, and 7 in this embodiment). Thereby, it can prevent that the order of the 1st small beam 29 and the order of the 2nd small beam 30 overlap. Note that the order information of the second beam 30 is desirably determined randomly according to a random number function when there are a plurality of the second beam 30.

The frame surface information includes the horizontal frame surface 9 or the small frame surface 13 (shown in FIGS. 4A and 4B) on which the second small beams 30 are arranged in the horizontal frame surfaces 9a to 9h (shown in FIG. 7). ). The frame surface information of the present embodiment is the frame surface 13 divided by the last beam 8 (the seventh beam 8) being arranged (the eighth frame surface (not shown) in this embodiment). Defined except. The frame surface information of this embodiment is as follows, for example.
0: No arrangement of second beam 1: Horizontal frame or first frame surface 2: Second frame surface 3: Third frame surface 4: Fourth frame surface 5: Fifth frame surface 6: 6th small frame 7: 7th small frame

  FIG. 12 is a plan view showing the horizontal frame 9 in which the small beams 8 are not arranged. For example, when the frame information of the frame plane locus 34b is “1”, the second beam 30 is arranged on the horizontal frame 9. On the other hand, when the frame surface information is “0”, the second beam 30 is not arranged on the horizontal frame surface 9.

  13A and 13B are plan views of the horizontal frame 9 on which one small beam 8 is arranged. A first small frame surface 13a and a second small frame surface 13b are formed on the first horizontal frame surface 9a. As shown in FIG. 13A, when the frame surface information of the frame surface locus 34b is “1”, the second beam 30 is arranged on the first frame surface 13a. As shown in FIG. 13B, when the frame surface information is “2”, the second beam 30 is arranged on the second frame surface 13b.

  In this embodiment, when the frame surface information is “3” or more where the corresponding frame surface 13 does not exist, for example, among the frame surfaces 13 divided into the horizontal frame surface 9, The second beam 30 is arranged on the frame surface 13 (in this embodiment, the second frame surface 13b). Note that the present invention is not limited to such a mode. For example, based on the numerical value of the frame surface information, the first frame surface 13a to the last frame surface 13 (in this embodiment, the second frame surface 13b). ), The small frame 13 on which the second beam 30 is arranged may be determined. For example, when the frame surface information is “3”, the second small frame surface 13a and the second second frame surface 13b are passed through the second first frame surface 13a. A beam 30 is arranged.

  Thus, the frame surface information can specify the horizontal frame surface 9 or the small frame surface 13 on which the second beam 30 is arranged. The frame surface information of the present embodiment is randomly determined from the frame surface information 0 to 7 according to the random number function.

The direction information indicates the direction of the second small beam 30. In the direction information of the present embodiment, the direction of the longitudinal direction of the second beam 30 is defined similarly to the direction information of the first beam beam. Each numerical value that can be taken by the direction information of the present embodiment is 1 or 2, and details are as follows. Note that the direction information is randomly determined according to a random number function.
1: Parallel to X-axis direction 2: Parallel to Y-axis direction

  The arrangement information specifies the position of the second beam 30. As shown in FIG. 12, the position of the second beam 30 in the present embodiment is the end portion closest to the reference point 15 a of the horizontal frame surface 9 (hereinafter simply referred to as “reference portion”). It is sometimes referred to as an “end”.) The arrangement information includes the length L2 of the side 35 with which the reference end 18 abuts on the horizontal frame 9 or the frame 13 (shown in FIG. 13) on which the second beam 30 is arranged, the reference point 15a, and the first information. 2 defined by the ratio (L1 / L2) to the distance L1 from the reference end 18 of the small beam 30. Therefore, the numerical value that the arrangement information can take is 0.00 to 1.00. The arrangement information is determined randomly according to a random number function.

  For example, when the frame surface information of the frame surface locus 34b is “1”, the direction information of the direction locus 34c is “2”, and the position information of the position locus 34d is “0.35”, the second beam The position of the reference end 18 of 30 is the distance L1 (X-axis direction) from the reference point 15a of the horizontal frame 9 with respect to the length L2 of the side 35 (X-axis direction) with which the reference end 18 abuts. It is defined by a node 17 near 0.35.

  As shown in FIG. 13B, for example, the frame surface information of the frame surface locus 34b is “2”, the direction information of the direction locus 34c is “1”, and the arrangement information of the arrangement locus 34d is “ In the case of “0.65”, the position of the reference end portion 18 of the second small beam 30 is such that the length L2 of the side 35 (Y-axis direction) with which the reference end portion 18 abuts is the length L2 of the second small frame 13b. A distance L1 (Y-axis direction) from the reference point 15b which is the lower left apex is defined by a node 17 in the vicinity of 0.65.

  Thus, the arrangement information of this embodiment can define the fixed position of the reference end portion 18 of the second beam 30. Therefore, the arrangement of the second beam 30 is defined by frame information, direction information, and arrangement information.

  In addition, when the frame surface information of the frame surface gene locus 34b is “0”, the second beam 30 is not arranged. Therefore, the arrangement information of the arrangement gene locus 34d includes, for example, a symbol ( For example, “*” or the like may be input.

  It should be noted that the arrangement information of the present embodiment is desirably generated repeatedly until a value is set in which the second beam 30 is not arranged across the inside of the opening 11 (shown in FIG. 8B). . Thereby, it can prevent that the 2nd small beam 30 crossing the inside of the opening part 11 is set.

  As shown in FIG. 10, in the first horizontal frame surface 9a of the present embodiment, the first second beam 30 whose order information stored in the order gene locus 34a is “1” is arranged. FIG. 14 is a plan view for explaining the arrangement of the first second beam 30. In the second beam 30 with the order information “1”, the frame surface information of the frame surface locus 34b is “1”, and the direction information of the direction locus 34c is “2”. For this reason, the longitudinal direction of the second beam 30 is arranged in parallel with the Y axis on the first horizontal frame 9a. The arrangement information of the arrangement locus 34d is “0.35”. Therefore, the position of the reference end portion 18 of the second beam 30 is a distance from the reference point 15a of the horizontal frame surface 9 with respect to the length L2 of the side 35 (X-axis direction) with which the reference end portion 18 abuts. L1 (X-axis direction) is defined by a node 17 arranged at a position near 0.35. Thereby, the arrangement of the second beam 30 whose order information is “1” is defined. Note that it is determined that both ends 8t and 8t of the small beam 8 abut on the large beam 7 or the small beam 8 according to the design constraint conditions. For this reason, the other end of the second small beam 30 comes into contact with the large beam 7 arranged on the extension line of the reference end portion 18 in the Y-axis direction.

  Next, as shown in FIG. 10, the first beam 29 (first opening beam 29a) whose order information stored in the order locus 33a is “2” is arranged. FIG. 15 is a plan view for explaining the arrangement of the first aperture beams 29a. In the first aperture beam 29a, the arrangement information of the arrangement locus 33b is “A”, and the direction information of the direction locus 33c is “1”. For this reason, the 1st opening small beam 29a is arrange | positioned along the 1st opening scheduled position 22a. Further, both ends of the first opening small beam 29a are in contact with the second small beam 30 and the large beam 7 arranged on the extension line in the X-axis direction of the first opening planned position 22a. It protrudes from the 22a in the X-axis direction.

  Next, as shown in FIG. 10, the first beam 29 (the first shed bundle beam 29e) whose order information stored in the order gene locus 33a is “3” is arranged. FIG. 16 is a plan view for explaining the arrangement of the first shed bundle beams 31e. In the first shed bundle beam 29e, the arrangement information of the arrangement locus 33b is “E”, and the direction information of the direction locus 33c is “1”. For this reason, the first shed bundle beam 29e passes through the first shed bundle planned position 23a, and its longitudinal direction is arranged parallel to the X axis. Further, both ends of the first shed bundle beam 29e are in contact with the second shed 30 and the large beam 7 arranged on the extension line in the X-axis direction of the first shed bundle planned position 23a. It is arranged so as to protrude from the scheduled bundle position 23a.

  Next, as shown in FIG. 10, the first beam 29 (third opening beam 29c) whose order information stored in the order locus 33a is “4” is arranged. FIG. 17 is a plan view for explaining the arrangement of the third opening small beams 29c. In the third opening beam 29c, the arrangement information of the arrangement locus 33b is “C”, and the direction information of the direction locus 33c is “2”. For this reason, the 3rd opening small beam 29c is arrange | positioned along the 3rd scheduled opening position 22c. Further, both ends of the third opening small beam 29c are in contact with the large beam 7 and the first opening small beam 29a arranged on the extension line in the Y-axis direction of the third opening planned position 22c. It is arranged so as to protrude from the position 22c.

  Next, as shown in FIG. 10, the first beam 29 (second aperture beam 29b) whose order information stored in the order locus 33a is “5” is arranged. FIG. 18 is a plan view for explaining the arrangement of the second aperture beams 29b. The second opening beam 29b is arranged along the second opening planned position 22b because the arrangement information of the arrangement locus 33b is “B” and the direction information of the direction locus 33c is “1”. Further, both ends of the second opening small beam 29b are in contact with the large beam 7 and the third opening small beam 29c arranged on the extension line in the X-axis direction of the second opening planned position 22b. It is arranged so as to protrude from the position 22b.

  Next, as shown in FIG. 10, the second second beam 30 having the order information “6” stored in the order locus 34a is arranged. FIG. 19 is a plan view for explaining the arrangement of the second second beam 30. In the second beam 30 whose order information is “6”, the frame surface information of the frame surface locus 34b is “4” and the direction information of the direction locus 34c is “1”. For this reason, the longitudinal direction of the second small beam 30 is arranged in parallel with the X axis on the fourth small frame surface 13d. Further, the arrangement information of the arrangement gene locus 34d is “0.6”. For this reason, the position of the reference end 18 of the second beam 30 is from the reference point 15b of the fourth small frame surface 13d with respect to the length L2 of the side 35 (Y-axis direction) with which the reference end 18 abuts. The distance L1 (in the Y-axis direction) is defined by a node 17 arranged at a position of 0.6. Thereby, the arrangement of the second beam 30 whose order information is “6” is defined. In addition, the other end of the second beam 30 with the order information “6” contacts the second beam 30 with the order information “1” arranged on the extension line in the X-axis direction of the reference end 18.

  Next, as shown in FIG. 10, the first beam 29 (fourth opening beam 29d) whose order information stored in the order locus 33a is “7” is arranged. FIG. 20 is a plan view for explaining the arrangement of the fourth opening small beams 29d. Since the arrangement information of the arrangement locus 33b is “D” and the direction information of the direction locus 33c is “2”, the fourth opening beam 29d is arranged along the fourth opening planned position 22d. Moreover, both ends of the fourth apertured beam 29d are disposed in contact with the first apertured beam 29a and the second apertured beam 29b.

  Thereby, the 1st information part 27 and the 2nd information part 28 of the 1st horizontal frame surface 9a can define arrangement | positioning (shown in FIG.8 (b)) of the small beam 8 of the 1st horizontal frame surface 9a. . Such a decoding process is performed in the calculation step S41 of the next optimization calculation step S4. Furthermore, in step S33 and step S34, the first information portion 27 and the second information portion 28 are set on each of the horizontal frame surfaces 9b to 9h, similarly to the first horizontal frame surface 9a. Thereby, each chromosome information 26 can specify one frame 2 (design sample) in which the small beams 8 are respectively arranged on each horizontal frame 9a to 9h. In the group generation step S3, a plurality of types of such chromosome information 26 are formed. Thereby, a group 31 composed of a plurality of types of chromosome information 26 is generated.

  Further, in step S33 and step S34 of the present embodiment, the order information of the first information portion 27, the direction information corresponding to the planned placement point 21b, the order information of the second information portion 28, the direction information, the frame surface Since information and arrangement information are randomly set by the computer 1, various variations of chromosome information 26 can be easily set. Such a group of chromosome information 26 is stored in the computer 1 as numerical data.

  In the present embodiment, the case where the first small beam 29 or the second small beam 30 does not overlap is illustrated, but for example, when the first small beam 29 or the second small beam 30 overlaps, they are arranged later. The arrangement of the first beam 29 or the second beam 30 is ignored. Thereby, the arrangement | positioning with which the 1st small beam 29 or the 2nd small beam 30 overlaps is excluded.

  In the group generation step S3 of the present embodiment, the chromosome information 26 is included so that the beam 8 (shown in FIG. 8B) passing through the planned placement position 21 is always included in the step S33 of defining the first information portion 27. Generated. Thereby, in the design method of this invention, the chromosome information 26 which defined the undesirable arrangement | positioning pattern in which the small beam 8 is not arrange | positioned in the arrangement plan position 21 can be prevented. Such an undesirable arrangement pattern is excluded from the optimum solution for the arrangement of the beam 8. Therefore, in the design method of the present invention, it is possible to prevent a decrease in calculation efficiency in the next optimization calculation step S4, and an optimal solution for the arrangement of the small beams 8 can be obtained in a short time.

  Next, the computer 1 uses the group 31 to calculate the optimal solution for the arrangement of the small beams 8 (shown in FIG. 8B) based on the genetic algorithm (GA) (optimization calculation step S4). .

  A genetic algorithm is a learning algorithm that mimics the process by which a living organism adapts to the environment and evolves. In this genetic algorithm, genetic operations such as crossover or mutation are repeated for a plurality of chromosome information expressed by genes. Thereby, in a genetic algorithm, chromosome information can be evolved in time series from a small number of samples, and an optimal solution can be obtained in a short time. FIG. 21 is a flowchart illustrating an example of the processing procedure of the optimization calculation step S4 of the present embodiment.

  In the optimization calculation step S4 of the present embodiment, first, the first target variable and the second target variable of the frame 2 are calculated based on each chromosome information 26 of the group 31 (calculation step S41).

  FIG. 22 is a diagram showing calculation results of the first target variable and the second target variable. The first target variable of the present embodiment is an approximate cost of the frame 2. For example, this cost may be calculated by multiplying the weight of the beam 8 (shown in FIG. 4) set in the chromosome information 26 by the unit price per unit weight of the beam 8 or for each beam 8. It is calculated by a method of adding up based on the price of the parts made in the database.

  The first target variable is better as the numerical value is smaller. Furthermore, the allowable range of the first target variable is, for example, 1.10 times or less the target cost. The target cost is appropriately set based on, for example, the budget for the building B. Such a first target variable is calculated for each chromosome information 26 and stored in the computer 1.

  The second target variable is the fitness to the design constraint condition of the frame 2 defined by the chromosome information. This fitness is calculated based on, for example, the number of violations of design constraints such as the strength of the frame 2 and the degree of violation. Note that the second target variable and the first target variable are mutually independent variables.

  The strength of the frame is obtained, for example, by the retained horizontal strength calculation (so-called route 3 calculation) specified by the Building Standard Law. This 2nd target variable is so good that a numerical value is high, and if it is 1.0 or more, the conditions demanded for frame 2 will be satisfied. Such a second target variable is calculated for each chromosome information 26 (shown in FIG. 10) and stored in the computer 1. When the fitness is less than 1.0, a numerical value may be added as a penalty to the first target variable that is the cost of the frame 2.

  Next, the computer 1 determines whether or not there is at least one chromosome information 26 (hereinafter simply referred to as “optimum solution”) that satisfies both the first target variable and the second target variable (determination). Step S42). In the determination step S42 of the present embodiment, when it is determined that an optimal solution exists among all the chromosome information 26 constituting the group 31, the next manufacturing step S5 is executed.

  On the other hand, when it is determined that there is no optimal solution, the computer 1 performs genetic operations such as crossover and mutation on at least a part of the chromosome information 26 to reconstruct the chromosome information 26 (gene operation). Step S43). Based on the reconstructed chromosome information 26, the calculation step S41 and the determination step S42 are executed again. Thereby, in the optimization calculation process S4, an optimal solution can be obtained reliably.

  In the determination step S42 of the present embodiment, it is determined only whether or not an optimal solution exists, but the present invention is not limited to this. For example, in the determination step S42, in addition to the above condition, only when the chromosome information 26 with the lowest cost of the frame 2 represented by the first target variable is not updated a plurality of times (for example, 5 to 15 times), The next manufacturing process S5 may be executed.

  FIG. 23 is a flowchart showing an example of the processing procedure of the gene manipulation step S43 of the present embodiment. In the genetic manipulation step S43 of the present embodiment, first, as shown in FIG. 22, the computer 1 has a low cost of the frame 2 that represents the plurality of chromosome information 26 belonging to the group 31 by the first target variable. Ranking in order (step S431).

  Next, the computer 1 classifies each chromosome information 26 into an elite group 41 and a non-elite group 42 (step S432). The elite group 41 includes chromosome information 26 having a relatively high degree of optimization among all the chromosome information 26 belonging to the group 31. On the other hand, the non-elite group 42 includes chromosome information 26 having a lower degree of optimization than the chromosome information 26 of the elite group 41. The ratio of the elite group 41 can be set as appropriate. For example, it may be determined to be about 5 to 20% of all chromosome information 26 constituting the group 31 (shown in FIG. 10).

  Next, the computer 1 generates a new population 31 of chromosome information 26 used in the next calculation step S41 (next generation population generation step S433). FIG. 24 is a flowchart illustrating an example of a processing procedure of the next generation group generation step S433 according to the present embodiment.

  In the next generation population generation step S433, first, the computer 1 includes the chromosome information 26 of the elite group 41 in the new population 31 without crossover or mutation (step S71). Thereby, in calculation process S41, since the chromosome information 26 of the elite group 41 is included, it can prevent moving away from an optimal solution. The chromosome information 26 of the elite group 41 is stored in the computer 1 as the chromosome information 26 constituting the new group 31.

  Next, the computer 1 performs crossover on a part of the chromosome information 26 constituting the group 31 shown in FIG. 10 (crossover step S72). FIG. 25A is a conceptual diagram showing chromosome information before crossover, and FIG. 25B is a conceptual diagram showing chromosome information after crossover.

  In the crossover step S72 of the present embodiment, for example, a first trabecular locus 33 or a second trabecular locus 34 (not shown) sandwiched between two crossing points 43 and 43 between a pair of chromosome information 26a and 26b. The first beam beam gene or the second beam beam gene stored in () is replaced. Such crossover may replace the first beam beam gene or the second beam beam gene defining the same beam 8 (for example, the second aperture beam 29b) between the pair of chromosome information 26a and 26b. it can. Accordingly, the crossover can easily reconstruct the chromosome information 26 without setting the first and second beam beams again. The reconstructed chromosome information 26 is stored in the computer 1 as chromosome information 26 constituting a new group 31. Note that the crossover points 43 and 43 are desirably set at random by the computer 1.

  In the present embodiment, the case where the crossover is a two-point crossover in which the first beam beam gene or the second beam beam sandwiched between the two crossing points 43, 43 is illustrated, but is not limited thereto. is not. As the crossover, for example, a single-point crossover, a multipoint crossover, or a uniform crossover may be used, or a combination of these may be implemented.

  Next, the computer 1 performs mutation on a part of the chromosome information 26 constituting the group 31 shown in FIG. 10 (mutation step S73). In step S73 of the present embodiment, mutation is performed for the order information and the direction information (only the first shed bundle beam 31e) at the first beam beam locus 33. Further, at the second beam beam locus 34, mutation is performed on the order information, the frame surface information, the direction information, and the arrangement information. In addition, about the arrangement information of the 1st small beam locus 33 and the direction information of the 1st opening small beam 29a-the 4th opening small beam 29d, it fixes to each gene locus 33, and a mutation is not implemented. Thereby, it can prevent that arrangement | positioning of the small beam 8 which does not pass the arrangement plan position 21 is defined in process S73.

  FIG. 26 is a conceptual diagram illustrating mutation. In the present embodiment, first, in each chromosome information 26, the direction locus 33c of the first shed bundle beam 29e, the frame plane locus 34b, the direction locus 34c of the second beam position 34, or the arrangement locus. 34d is selected at random. Next, all the direction information, frame surface information, or arrangement information stored in the selected direction gene locus 33c, frame surface gene locus 34b, direction gene locus 34c, or arrangement gene locus 34d can be taken. Is replaced with a randomly selected number.

  The order information of the first beam beam locus 33 and the second beam beam locus 34 is based on, for example, the technique by Grefenstette et al. Which is typically applied in the Traveling Salesman Problem (TSP). Mutations are performed. Thereby, the order information can be set at random between the first trabecular locus 33 and the second trabecular locus 34 while preventing the inconsistent order information such as duplication and omission from being stored. it can. The specific procedure of the technique by Grefenstette et al. Is described in, for example, literature (System Control Information Society, “Genetic Algorithm and Optimization”, 4th edition, Asakura Shoten Co., Ltd., 2004, P37-P39). Can be implemented on the basis of

  Unlike the crossover, such a mutation is not limited to the order information, the frame plane information, the direction information, or the arrangement information defined in each chromosome information 26 constituting the group 31, and the new order. Chromosome information 26 can be reconstructed using information, frame information, direction information, or arrangement information. Therefore, the mutation can prevent falling into a local optimal solution. The reconstructed chromosome information 26 is stored in the computer 1 as chromosome information 26 constituting a new group 31.

  As described above, in the optimization calculation step S4 of the present embodiment, as shown in FIG. 22, the remaining chromosome information 26 of the elite group 41 having a high degree of optimization of the first target variable and the second target variable remains. Can be reconstructed and new evolution can be attempted. Thereby, in the design method of the present invention, the arrangement of the small beams 8 (shown in FIG. 8B) can be evolved with a small number of samples. Therefore, the design method of the present invention can find the optimum solution in a short time.

  The ratio of the chromosome information 26 to be mutated can be set as appropriate, but may be determined to be, for example, about 10 to 40% of all the chromosome information 26 constituting the group 31. If the percentage of chromosome information 26 to be mutated is less than 10%, the genetic information may not be sufficiently evolved. On the other hand, if the proportion of chromosome information 26 to be mutated exceeds 40%, gene information that violates the design constraint condition is greatly increased, and an optimal solution may not be obtained in a short time.

  In addition, after the chromosome information 26 that satisfies the cost of the frame 2 represented by the first target variable and falls within the allowable range and that satisfies the fitness represented by the second target variable appears, the vicinity of the optimal solution is generally determined. It can be determined that the search has been completed. For this reason, in the next generation population generation step S433, it is desirable to prioritize evolution by crossing relatively good chromosome information 26. Thereby, in optimization calculation process S4, an optimal solution can be calculated | required in a short time. In this case, the mutation rate may be set to about 5 to 10% of all chromosome information 26 constituting the group 31.

  The number of chromosome information 26 belonging to the group 31 is preferably 15 to 50. If the number of chromosome information 26 is less than 15, genetic information may not be sufficiently evolved. On the other hand, if the number of chromosome information 26 exceeds 50, a lot of calculation time may be required.

Furthermore, it is desirable that the number of chromosome information 26 belonging to the group 31 is determined by the number of floors and the total floor area of the building, for example. For example, in the case of a two-story building B as in this embodiment, it is desirable that the chromosome information 26 is set according to the number set for each total floor area described below. In the case of a three-story building (not shown), it is desirable to set chromosome information 26 for the number obtained by adding 5 to the following number. Further, in the case of a one-story building (not shown), it is desirable to set chromosome information 26 for the number obtained by subtracting 5 from the following number.
100m less than ^2: 20 100~120m ^2: 25 pieces 120~140m ^2: 30 pieces 140~160m ^2: 35 pieces 160~180m ^2: 40 pieces 180~200m ^2: 45 pieces 200 meters ² or more: 50

  Next, in the final generation group 31, the frame body 2 and the building B shown in FIG. 2 are manufactured based on the chromosome information 26 having the highest degree of optimization (manufacturing step S5). Thereby, in the design method of this embodiment, the frame 2 and the building B having the highest fitness for passing the small beam 8 to the planned placement position 21 can be easily and easily suppressed while keeping the cost of the frame 2 within a predetermined range. It can be manufactured reliably.

  The chromosome information 26 having the highest degree of optimization is, for example, 1.10 times the first target variable having the lowest first target variable among all the chromosome information 26 having the second target variable of 1 or more. The chromosome information 26 which is the following and has the highest fitness of the frame 2 used for the calculation of the second target variable can be determined.

  In the design method according to the present embodiment, the design constraint includes the planned placement position 21 (shown in FIG. 8A) of the beam 8 where the beam 8 is required. However, the present invention is not limited to this. It is not done. Instead of the planned placement position 21, the design constraint condition may include, for example, a placement prohibited position where the small beam 8 cannot be placed based on the structure of the building B.

  27 (a) and 27 (b) are plan views showing a horizontal frame surface according to another embodiment of the present invention. The arrangement prohibition position 51 of this embodiment is defined in the opening 11 (shown in FIG. 2) set in the horizontal frame 9. The disposition prohibiting position 51 prohibits the cross beam 8 from traversing the disposition prohibiting position 51, and the small beam 8 disposed along the outer periphery of the disposition prohibiting position 51 is allowed. Such an arrangement prohibition position 51 is set for each of the horizontal frame surfaces 9a to 9h (shown in FIG. 7). The arrangement prohibition position 51 of the present embodiment is formed in a rectangular shape. This arrangement prohibition position 51 is defined by the coordinate values of the four nodes 17 arranged at the vertices.

  FIG. 28 shows the chromosome information 26 of this embodiment. The chromosome information 26 of this embodiment is composed of only the second information portion 28 of the previous embodiment on each horizontal frame 9a to 9h. Further, the second beam beam loci 34 of the second information portion 28 are created by the number of upper limit values of the number of beam beams 8 set in the design constraint condition. Since such chromosome information 26 does not include the first information portion 27 (shown in FIG. 10), the chromosome information 26 can be simplified.

  In the group generation step S3, the chromosome information 26 is generated based on the design constraint conditions including the placement prohibition position 51. In the group generation step S3, when the second beam 30 crossing the placement prohibition position 51 is set, the frame surface information, the direction information, and the placement information are updated again, and the second beam 30 that does not cross the placement prohibition position 51 is obtained. Replaced. As a result, as shown in FIG. 27 (b), in the group generation step S 3, it is possible to prevent the arrangement pattern including the small beams 8 passing through the openings 11 from being generated. Such an arrangement prohibition position 51 may be included in the design constraint conditions of the design method of the previous embodiment.

  As mentioned above, although especially preferable embodiment of this invention was explained in full detail, this invention is not limited to embodiment of illustration, It can deform | transform and implement in a various aspect.

3 Columns 4 Beams 7 Large beams 8 Small beams 9 Horizontal frame 21 Planned location 26 Chromosome information 31 Group

Claims (10)

A building structure including a plurality of beams that horizontally connect between the columns, and a plurality of small beams that further divide a horizontal frame surrounded by the beams. A method for designing using a computer,
The horizontal frame includes a planned arrangement position of the beam where the beam is required based on the structure of the building,
Inputting design constraints including the planned placement position into the computer;
A group generation step of generating a group consisting of a plurality of types of chromosome information, which is numerical information for specifying the arrangement of the beam, based on the design constraint condition;
The computer includes an optimization calculation step of calculating an optimal solution of the arrangement of the beam using the population based on a genetic algorithm;
In the group generation step, the chromosomal information is generated so that a beam that passes through the planned placement position is necessarily included.   The frame layout design method according to claim 1, wherein the planned layout position includes a planned layout line specified by at least two coordinate values in the horizontal frame plane. The building has an opening in the horizontal frame;
The frame design method according to claim 2, wherein the planned arrangement straight line is set at least at a part around the opening.   The frame layout design method according to claim 1, wherein the planned layout position includes a planned layout point specified by one coordinate value in the horizontal frame plane. The building has a shed bundle supported by the horizontal frame.
The frame design method according to claim 4, wherein the planned placement point is set at a position that supports the shed bundle.   The chromosome information includes a first information part for defining a first beam that passes through the planned placement position and a second information part for defining a second beam that is defined independently of the planned placement position. The frame structure designing method according to claim 1, comprising: In the first information portion, for each first beam, a first beam gene that defines an arrangement of the first beam is set.
The first beam beam gene includes order information indicating an order in which the first beam is arranged on the horizontal frame, arrangement information in which a position of the first beam is designated in advance, and the first beam The frame structure design method according to claim 6, further comprising direction information indicating a direction of the frame. Each horizontal frame is divided into a plurality of small frames by the beam.
In the second information portion, a second beam beam gene is set for each second beam.
The second beam beam gene includes order information indicating an order in which the second beam is arranged on a horizontal frame, and a frame that specifies the horizontal frame or the beam frame on which the second beam is arranged. The frame structure design method according to claim 6 or 7, comprising plane information, direction information indicating a direction of the second beam, and arrangement information for specifying a position of the second beam.   The method of designing a frame according to claim 8, wherein the order of the second beam of the second information part is assigned excluding the order of the first beam used in the first information part. . A building structure including a plurality of beams that horizontally connect between the columns, and a plurality of small beams that further divide a horizontal frame surrounded by the beams. A method for designing using a computer,
The horizontal frame surface includes an arrangement prohibition position where the beam can not be arranged based on the structure of the building,
Inputting design constraints including the placement prohibition position into the computer;
A group generation step of generating a group consisting of a plurality of types of chromosome information, which is numerical information for specifying the arrangement of the beam, based on the design constraint condition;
The computer includes an optimization calculation step of calculating an optimal solution of the arrangement of the beam using the population based on a genetic algorithm;
In the group generation step, the chromosomal information is generated so that a small beam passing through the placement prohibition position is not included.

Images