JP2023049849A - Design support apparatus - Google Patents

Abstract

To compare structural designs of a building using structural members of an appropriate number of groups, for each of a plurality of design conditions.SOLUTION: An input unit 10 receives a building model obtained by modeling a building which is to be designed and includes a plurality of structural members, and design conditions for the building to be designed. A grouping processing unit 28 calculates, for each of the design conditions, based on the design conditions, regarding each of the structural members of the building, cross-section structures of the structural members, and performs grouping to classify the structural members into multiple groups composed of structural members with the same cross-section structure. A display unit 30 displays results of the grouping for each of the design conditions, so as to be compared with each other.SELECTED DRAWING: Figure 2

Description

Applied for application of Article 30, Paragraph 2 of the Patent Act December 3, 2020 Published at GBRC Structural Technology Seminar 2020 January 22, 2021 Published at JSCA Kansai New Year Study Group February 2021 10th JFE Engineering Co., Ltd. Released at the civil engineering and construction subcommittee March 12, 2021 Released in the Japan Association of Structural Engineers Kansai Publishing “JSCA Kansai April Issue Journal”

The present invention relates to a design support device.

Conventionally, a coordinate base line on which strength members should be arranged is specified, the element members to be grouped can be identified from the positional relationship between the element members and the base line, and a special identification tag is attached to each finite element data. There is known a frame structure optimization design device that causes a computer to perform grouping work only by specifying a baseline without requiring such time-consuming input work (for example, Patent Document 1).

Japanese Patent Application Laid-Open No. 2008-299385

In the technique described in Patent Literature 1, the element members are grouped from the specified coordinate base line on which the strength member should be arranged. However, JP-A-2003-200012 describes calculating the cross-sectional structure of a structural member for each of a plurality of input design conditions, grouping the structural members, and displaying the results for comparison. not

SUMMARY OF THE INVENTION In view of the above facts, it is an object of the present invention to be able to compare the structural design of a building using an appropriate number of groups of structural members for each of a plurality of design conditions.

A design support apparatus according to the present invention includes an input unit that receives a building model that is a building to be designed and that includes a plurality of structural members, and a plurality of design conditions related to the building to be designed; For each of the design conditions of , for each of the plurality of structural members of the building, based on the design conditions, the cross-sectional structure of the structural member should be calculated, and the plurality of structural members should have the same structural cross-section. A grouping processing unit that performs grouping for classifying structural members into a plurality of groups, and a display unit that displays the results of the grouping for each of the plurality of design conditions so that they can be compared.

According to the design support device of the present invention, the input unit receives a building model, which is a building to be designed and includes a plurality of structural members, and a plurality of design conditions related to the building to be designed. . A grouping processing unit calculates, for each of the plurality of design conditions, a cross-sectional structure of each of the plurality of structural members of the building based on the design conditions, and divides the plurality of structural members into: Grouping is performed to classify structural members into a plurality of groups that should have the same structural cross section. Then, the display unit displays the results of the grouping for each of the plurality of design conditions so that they can be compared.

Thus, for each of the plurality of design conditions received, for each of the plurality of structural members of the building, the cross-sectional structure of the structural member is calculated, and the plurality of Grouping is performed to classify the plurality of structural members based on the characteristic amounts of each of the structural members, and the results of grouping are displayed in a comparable manner, thereby providing an appropriate number of groups for each of a plurality of design conditions. The structural design of buildings using structural members can be compared.

In the design support device according to the present invention, the design conditions include a target value for verification ratio, a target value for retained strength margin, the number of iterative calculations, a target value for column axial force ratio, a target value for deformation angle of each floor, and a column and beam. Brace rank designations or strength designations may be included. This satisfies the target value of the verification ratio, the target value of the retained strength margin, the number of repetition calculations, the target value of the column axial force ratio, the target value of the deformation angle of each floor, the rank specification of the column beam brace, or the specification of strength , can support the structural design of buildings.

In the design support device according to the present invention, the display unit displays the yield value, the number of structural members, the number of types of structural members, or stress analysis for the building model as a result of the grouping for each of the plurality of design conditions. The feature values of the structural members obtained from the results can be displayed for comparison. As a result, for each of a plurality of design conditions, the yield value, the number of structural members, the number of types of structural members, or the characteristic amounts of the structural members obtained from the stress analysis results for the building model can be displayed in a comparable manner. can be done.

In the design support device according to the present invention, the grouping processing unit, for each of the plurality of design conditions, calculates a cross-sectional structure of each of the plurality of structural members of the building based on the design conditions. The grouping may be performed based on the feature amount of each of the plurality of structural members obtained from the result of stress analysis for the building model including the plurality of structural members having the calculation result of the structural cross section. can.

In the design support device according to the present invention, the design conditions include a target value for verification ratio, a target value for retained strength margin, the number of iterative calculations, a target value for column axial force ratio, a target value for deformation angle of each floor, and a column and beam. Brace rank designations or strength designations may be included.

In the design support device according to the present invention, when calculating the cross-sectional structure with respect to the design conditions, the grouping processing unit calculates the stress on the building model including the plurality of structural members having the calculation result of the structural cross-section. Changing the cross-sectional structure of each of the plurality of structural members based on the analysis results can be repeated until the design conditions are satisfied.

As described above, according to the design support apparatus of the present invention, for each of the received plurality of design conditions, for each of the plurality of structural members of the building, the cross-sectional structure of the structural member is calculated, and the building model Based on the feature quantity of each of the plurality of structural members obtained from the stress analysis results for the plurality of structural members, grouping is performed to classify the plurality of structural members, and the grouping results are displayed in a comparable manner. The advantage is that for each of the design conditions, the structural design of the building with the appropriate number of groups of structural members can be compared.

1 is a block diagram showing a learning device and a design support device according to a first embodiment of the present invention; FIG. 1 is a functional block diagram showing a design support device according to a first embodiment of the present invention; FIG. It is a figure which shows an example of the input screen of design conditions. FIG. 3 is a diagram for explaining member information of a structural member; FIG. It is a figure which shows the example of the learned model for cross-sectional structure calculation. FIG. 10 is a diagram showing an example of a screen displaying grouping results for a plurality of design conditions; FIG. 11 is a diagram showing an example of a screen displaying detailed information on grouping results for a plurality of design conditions; 1 is a functional block diagram showing a learning device according to a first embodiment of the invention; FIG. 4 is a flow chart showing contents of a design support processing routine of the design support apparatus according to the first embodiment of the present invention; 4 is a flow chart showing the flow of processing for changing the cross-sectional structure in the design support device according to the first embodiment of the present invention; 4 is a flow chart showing the flow of grouping processing in the design support device according to the first embodiment of the present invention; It is a figure which shows the example of a trained model. FIG. 10 is a diagram showing an example of a screen displaying grouping results for a plurality of building models; FIG. 10 is a diagram showing an example of a screen displaying detailed information on grouping results for a plurality of building models; FIG. 10 is a diagram showing an example of grouping results for grouping proposals; FIG. 10 is a diagram showing an example of grouping results for grouping proposals; FIG. 10 is a diagram showing an example of grouping results for grouping proposals;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[First embodiment]
<Configuration of the design support device according to the first embodiment of the present invention>
As shown in FIG. 1, the design support apparatus 100 according to the first embodiment of the present invention includes a CPU 12, a graphic card 13, a GPU 14, a RAM 16, an HDD 18, a communication interface 21, and a bus for interconnecting them. 23.

The CPU 12 and GPU 14 execute various programs. The RAM 16 is used as a work area or the like when various programs are executed by the CPU 12 . The HDD 18 as a recording medium stores various programs including a program for executing a design support processing routine, which will be described later, and various data.

FIG. 2 shows the design support apparatus 100 according to the present embodiment in terms of functional blocks along with a program for executing a design support processing routine. The design support device 100 includes an input section 10 , a calculation section 20 and an output section 50 .

The input unit 10 receives an input of a building model, which is a building to be designed and includes a plurality of structural members (columns, beams, walls, braces, etc.), by the operation of a designer. Accepts multiple design conditions for the target building.

For example, a plurality of structural members are arranged for each type of structural member (column, beam, wall, brace, etc.) in the building model by the operation of the person in charge of design. Then, a plurality of design conditions are accepted on the input screen of FIG. 3 by the operation of the person in charge of design.

For example, the design conditions include the target value of the verification ratio, the target value of the retained strength margin, the number of repetition calculations, the target value of the column axial force ratio, the target value of the deformation angle of each floor, the rank designation of the column beam brace, or the strength including designation.

On the input screen in Fig. 3, the target value of the verification ratio, the target value of the retained strength margin, whether or not to adjust the eccentricity ratio, the target value of the column-to-beam strength ratio, the number of grouping layers of the S column, the number of repetition calculations, and the consideration of RC members It shows an example of receiving the presence/absence of implementation, the presence/absence of study implementation of load-bearing walls, the target value of τ level at the time of primary design, and the target value of column long-term axial force ratio. Also, this input screen shows an example of receiving a target value of the deformation angle, designation of the rank of the beam-column brace, and designation of strength for each floor.

In the present embodiment, the input unit 10 accepts a plurality of design conditions by repeatedly accepting design conditions through the input screen.

The calculation unit 20 includes a cross-sectional structure calculation unit 22 , a grouping processing unit 28 and a display unit 30 . The cross-sectional structure calculator 22 and the grouping processor 28 are examples of the grouping processor.

For each structural member of the building model, the cross-sectional structure calculation unit 22 calculates the cross-section of the structural member using a learned model for cross-sectional structure calculation that has been learned in advance by a learning device 200 described later, based on the member information of the structural member. Calculate the structure and display the calculation result. For example, as a result of calculation, structural members that reflect the calculated cross-sectional structure can be visually displayed by superimposing them on the volume of the building. display the calculation result of

The learned model for cross-sectional structure calculation includes member information (length L in Fig. 4, angle θ, position in the building (position in the height direction, position on the plane), floor height, member density (span), load Area, load conditions, shear force burden ratio of the frame to which it belongs, etc.) are input data, and cross-sectional information representing the cross-sectional structure (member width D, member composition B, member thickness t, material strength, member weight, member performance, etc.) are output data (see FIG. 5). For example, as shown in FIG. 5, a neural network can be used as an example of a model, and deep learning can be used as an example of a learning algorithm. A learned model for cross-sectional structure calculation is learned so that cross-sectional information of the data is output.

Then, the cross-sectional structure calculation unit 22 changes the cross-sectional structure of each structural member of the building model so as to satisfy each of the received design conditions.

Specifically, the cross-sectional structure calculation unit 22 performs stress analysis on a building model including a plurality of structural members having structural cross-section calculation results, and based on the results of the stress analysis, sets design conditions. , to change the cross-sectional structure of each structural member. This is repeated for each of a plurality of received design conditions until the relevant design condition is satisfied.

For each of the received design conditions, the grouping processing unit 28 calculates the feature values of each of the plurality of structural members obtained from the stress analysis results for the building model including the plurality of structural members having the structural cross section calculation results. Grouping is performed to classify a plurality of structural members into a plurality of groups of structural members that should have the same cross-sectional structure.

Specifically, grouping is performed for each type of structural member based on the distribution of the characteristic amount of the structural member group to be grouped. This grouping is repeated for each of the received multiple design conditions, and a grouping result is obtained for each of the multiple design conditions. A clustering method can be used as an example of a grouping algorithm.

For example, stress analysis is performed on a building model including a plurality of structural members having structural cross section calculation results, and based on the results of the stress analysis, the feature values of the structural member group are obtained, and for each type of structural member, A group of structural members is clustered based on the distribution of the feature values of the group of structural members, the cross-sectional structures of the structural members in the same cluster are changed so as to unify the cross-sectional structures, and a plurality of structures having the changed structural cross-sections. Stress analysis is performed on the building model including members, and the stress analysis result is output. The feature values include long-term axial force, short-term moment, short-term axial force, column length, column coordinates, etc. obtained as a result of stress analysis.

The display unit 30 displays the grouping results for each of the plurality of design conditions so that they can be compared.
Specifically, as shown in FIG. 6, the display unit 30 displays the yield value, the number of structural members, the number of types of structural members, or the stress analysis for the building model as a result of grouping for each of a plurality of design conditions. The feature values of the structural members obtained from the results of are displayed for comparison. In FIG. 6, for each of a plurality of design conditions, the execution state of each process of the cross-sectional structure calculation unit 22 and the grouping processing unit 28, the yield value, the number of structural members, the number of types of structural members, and the stress analysis result for the building model This shows an example of displaying the feature values of structural members (average value of seismic element horizontal force burden rate, test ratio) obtained from .

Further, as shown in FIG. 7, the relationship between the yield value, the number of structural members, the number of types of structural members, or the feature amount of the structural members obtained from the result of stress analysis for the building model may be displayed in the form of a graph. good. The left side of FIG. 7 shows an example of displaying a graph representing the relationship between the yield value and the number of types of structural members. This graph plots the combination of the yield value and the number of types of structural members obtained for each design condition. The right side of FIG. 7 shows an example of displaying detailed information of the grouping result (top view of building model, test ratio distribution, etc.) for the design condition corresponding to the plot selected on the graph.

<Structure of the learning device according to the first embodiment of the present invention>
As shown in FIG. 1, the learning apparatus 200 according to the first embodiment of the present invention includes a CPU 12, a graphic card 13, a GPU 14, a RAM 16, an HDD 18, a communication interface 21, and these A bus 23 is provided for interconnecting the .

The CPU 12 and GPU 14 execute various programs. The RAM 16 is used as a work area or the like when various programs are executed by the CPU 12 . The HDD 18 as a recording medium stores various programs including programs for executing learning processing and various data.

FIG. 8 shows learning apparatus 200 according to the present embodiment as functional blocks along a program for executing learning processing. The learning device 200 includes an input section 110 , a calculation section 120 and an output section 150 .

The input unit 110 performs learning including combinations of member information including position information of structural members and cross-sectional structures of structural members, which are obtained for each structural member (columns, beams, walls, braces, etc.) from actual building information. data as input.

The calculation unit 120 has a learning unit 122 .

The learning unit 122 obtains a learned model for cross-sectional structure calculation for each type of structural member based on a plurality of learning data received by the input unit 10 .

In this embodiment, a learned model for cross-sectional structure calculation is generated for each type of structural member (column, beam, wall, brace, etc.) and output to the design support device 100 by the output unit 150 .

<Operation of learning device>
Next, operation of the learning device 200 according to the first embodiment of the present invention will be described.

Learning including combinations of member information including position information of structural members and cross-sectional structures of structural members obtained from the input unit 110 for each structural member (pillar, beam, wall, brace, etc.) from the actual building information data as input. Then, the learning unit 122 obtains a learned model for cross-sectional structure calculation based on the plurality of learning data received by the input unit 110 .

<Operation of design support device>
Next, operation of the design support device 100 according to the first embodiment of the present invention will be described.

The input unit 10 accepts an input of a building model, which is a building to be designed and includes a plurality of structural members (columns, beams, walls, braces, etc.), by the operation of a designer, and inputs a building model. Upon receiving a plurality of design conditions regarding the target building, the design support apparatus 100 executes the design support processing routine shown in FIG.

First, in step S100, the cross-sectional structure calculator 22 acquires a building model including a plurality of input structural members.

In step S102, the cross-sectional structure calculation unit 22 calculates the cross-sectional structure of each structural member of the building model based on the member information of the structural member using the learned model for calculating cross-sectional structure, Display the calculation result.

Steps S104 to S106 are then repeated for each of the plurality of design conditions.
In step S104, the cross-sectional structure calculator 22 changes the cross-sectional structure of each structural member of the building model calculated in step S102 so as to satisfy the target design conditions.

In step S106, the grouping processing unit 28 selects a plurality of structures based on the feature amounts of each of the plurality of structural members obtained from the stress analysis results for the building model including the plurality of structural members having the structural cross section calculation results. Grouping is performed to classify members into a plurality of groups of structural members that should have the same cross-sectional structure.

In step S108, it is determined whether or not steps S102 to S106 have been executed for all the received design conditions. If there is a design condition for which steps S102 to S106 have not been executed, the process returns to step S102 for that design condition. On the other hand, if steps S102 to S106 have been executed for all the received design conditions, the process proceeds to step S109.

In step S109, the display unit 30 displays the grouping results for each of the plurality of design conditions so that they can be compared, and ends the design support processing routine.

The above step S104 is implemented by the processing routine shown in FIG.

In step S110, the cross-sectional structure calculator 22 changes the cross-sectional structure of each structural member.

In step S112, the cross-sectional structure calculation unit 22 performs stress analysis on the building model including a plurality of structural members having the calculation result or change result of the structural cross section.

In step S114, the cross-sectional structure calculation unit 22 determines whether or not the target design conditions are satisfied based on the result of the stress analysis. If the target design condition is not satisfied, the process returns to step S110. On the other hand, if the target design condition is satisfied, it is determined that the cross-sectional structure of each structural member that satisfies the target design condition has been obtained, and the processing routine ends.

The above step S106 is realized by the processing routine shown in FIG.

In step S120, the grouping processing unit 28 performs stress analysis on the building model including a plurality of structural members having the structural section calculation results.

In step S122, the grouping processing unit 28 acquires the feature quantity of the structural member group based on the result of the stress analysis.

In step S124, the grouping processing unit 28 clusters the structural member group based on the distribution of the feature amount of the structural member group for each type of structural member.

In step S126, the grouping processing unit 28 changes the cross-sectional structure of each structural member so as to unify the cross-sectional structure of the structural members of the same cluster.

In step S128, the grouping processing unit 28 performs stress analysis on the building model including a plurality of structural members having the post-change structural cross section, outputs the stress analysis result, and terminates the processing routine.

As described above, according to the design support device according to the first embodiment of the present invention, for each of the plurality of received design conditions, for each of the plurality of structural members of the building, the cross-sectional structure of the structural member is calculated, and grouping is performed to classify multiple structural members based on the feature values of each of the multiple structural members obtained from the results of stress analysis on the building model, and the grouping results are displayed for comparison. allows comparing the structural design of a building with an appropriate number of groups of structural members for each of a plurality of design conditions.

In addition, based on the received design conditions, the cross-sectional structure of each of the structural members of the building is calculated, and the feature values of each of the structural members obtained from the stress analysis results for the building model are calculated. By grouping a plurality of structural members based on the above, it is possible to support the structural design of a building using an appropriate number of groups of structural members only by inputting design conditions.

[Second embodiment]
Next, a second embodiment of the invention will be described. Note that the configurations of the design support device and the learning device of the second embodiment are the same as those of the first embodiment, so the same reference numerals are assigned and the description thereof is omitted.

The second embodiment differs from the first embodiment in that grouping is performed using supervised learning.

<Structure of the learning device according to the second embodiment of the present invention>
The input unit 110 of the learning device 200 according to the second embodiment of the present invention receives learning data for cross-sectional structure calculation as an input, as in the first embodiment. In addition, the input unit 110 inputs the structural member information of each of the two structural members for each of the structural member pairs consisting of the two structural members among all the structural members obtained for the structural members from the actual record information of the building. It accepts as an input learning data including the determination result of determining whether or not the two structural members are grouped based on each other, and the structural member information of each of the two structural members.

Specifically, from the performance information of the building, member information of the two structural members (length L, angle θ, position (height direction position, position on the plane), floor height, member density (span), bearing area, other information that characterizes members (member width D, member composition B, member thickness t, etc. in Fig. 4 above) ) and the result of determining whether or not the two structural members are grouped based on the structural member information of each of them. Then, for each structural member pair, learning data including a combination of member information of two structural members and a determination result as to whether or not they are grouped is received.

In the present embodiment, this learning data is received for each type of structural member (column, beam, wall, brace, etc.).

The learning unit 122 obtains a learned model for cross-sectional structure calculation, as in the first embodiment.

Also, the learning unit 122 obtains a trained model for grouping based on the learning data.

Specifically, as shown in FIG. 12, the trained model for grouping uses the feature amounts of two structural members as input data, and the degree of grouping of the two structural members as output data. For example, a neural network can be used as an example of a model, and deep learning can be used as an example of a learning algorithm. A learned model for grouping is generated for each type of structural member (column, beam, wall, brace, etc.).

<Configuration of the design support device according to the second embodiment of the present invention>
The grouping processing unit 28 of the design support device 100 of the second embodiment consists of two structural members out of all generated structural members for each type of structural member (column, beam, wall, brace, etc.) For each structural member pair, the degree of grouping is calculated based on the feature values of each of the two structural members and the learned model for grouping, and the degree of grouping is calculated so that the designated number of groups is achieved. Group the structural member pairs in descending order of .

Specifically, the grouping processing unit 28 divides each structural member pair consisting of two structural members out of all the structural members into two The degree of grouping is calculated based on the structural member information of each structural member and the learned model for grouping the types of structural members.

For example, for each structural member pair, member information of two structural members (length, angle, position in the building (position in the height direction, position on the plane), floor height, member density (span), burden area, Other information that characterizes the member) is input to the learned model for grouping to determine the degree of grouping.

Then, the grouping processing unit 28 divides the two structures of the structural member pair in descending order of the degree of grouping so that the designated number of groups is obtained for each type of structural member (column, beam, wall, brace, etc.). Grouping members into the same group is repeated. As a result, grouping results for the specified number of groups are obtained. Also, the designation of the number of groupings is changed in order, and the structural member pairs are grouped in the same manner. As a result, grouping results for a plurality of grouping proposals are obtained.

Other configurations and actions of the design support device 100 and the learning device 200 of the second embodiment are the same as those of the first embodiment, and thus description thereof is omitted.

As described above, according to the design support device according to the second embodiment of the present invention, the cross-sectional structure of each of a plurality of structural members of a building is calculated based on the received design conditions. , Based on the feature values of each of the structural members obtained from the stress analysis results for the building model, the degree to which grouping should be performed is calculated, and the design conditions are input by grouping the plurality of structural members. can support the structural design of a building with an appropriate number of groups of structural members.

The present invention is not limited to the above-described embodiments, and various modifications and applications are possible without departing from the gist of the present invention.

For example, in the above-described embodiment, the calculation of the cross-sectional structure of structural members and grouping are performed for each of the received design conditions for one building model, but the present invention is limited to this. isn't it. For multiple building models, for each of at least one received design condition, the calculation of the cross-sectional structure of structural members and grouping are repeated, and the results of grouping are displayed so that comparison can be made between building models. (Figs. 13 and 14).

FIG. 13 shows an example of displaying at least one received design condition for each of models A, B, C, and D. In FIG. In addition, in FIG. 14, as a result of grouping a plurality of building models, the relationship between the yield value, the number of structural members, the number of types of structural members, or the feature amount of the structural members obtained from the result of stress analysis for the building model is shown. An example of displaying as a graph is shown. The left side of FIG. 14 shows an example of displaying a graph representing the relationship between the yield value and the number of types of structural members as a result of grouping a plurality of building models. This graph plots the combination of the yield value and the number of types of structural members obtained for each design condition. The right side of FIG. 14 shows an example of displaying detailed information of the grouping result (top view of building model, test ratio distribution, etc.) for the design condition corresponding to the plot selected on the graph.

Further, a plurality of parameter sets consisting of parameters related to grouping may be determined in advance, and grouping may be performed using the parameter set for each of the plurality of parameter sets to obtain a plurality of grouping results (Fig. 15).

The parameter set includes, for example, a K value for clustering and a weight vector consisting of weights for each feature quantity.

15A-15C show examples of displaying three grouping results for three parameter sets. The lower side of FIGS. 15A to 15C shows an enlarged rectangular frame portion indicated by a dashed line in the grouping result of the upper side.

Further, in the above-described embodiment, the case where the learning device and the design support device are configured as separate devices has been described as an example. may be configured as one device.

Also, the program of the present invention may be stored in a storage medium and provided.

10, 110 Input unit 12 CPU
20, 120 calculation unit 22 cross-sectional structure calculation unit 28 grouping processing unit 30 display unit 100 design support device 122 learning unit 200 learning device

Claims (5)

an input unit that receives a building model, which is a building to be designed and includes a plurality of structural members, and a plurality of design conditions related to the building to be designed;
for each of said plurality of design conditions, calculating a cross-sectional structure of said structural member for each of said plurality of structural members of said building based on said design conditions; a grouping processing unit that performs grouping for classifying structural members into a plurality of groups;
a display unit that displays the results of the grouping for each of the plurality of design conditions in a comparable manner;
design support equipment including The display unit displays, as a result of the grouping for each of the plurality of design conditions, the yield value, the number of structural members, the number of types of structural members, or the characteristics of the structural members obtained from the results of stress analysis on the building model. 2. The design support system according to claim 1, wherein the quantities are displayed for comparison. The grouping processing unit
For each of the plurality of design conditions,
calculating a cross-sectional structure of each of the plurality of structural members of the building based on the design conditions; 3. The design support device according to claim 1, wherein said grouping is performed based on the feature quantity of each of said plurality of structural members obtained from the result. The design conditions are the target value of the verification ratio, the target value of the retained strength margin, the number of repetition calculations, the target value of the column axial force ratio, the target value of the deformation angle of each floor, the rank designation of the column beam brace, or the strength designation The design support device according to any one of claims 1 to 3, comprising: When the grouping processing unit calculates the cross-sectional structure for the design conditions,
Changing the cross-sectional structure of each of the plurality of structural members based on the results of stress analysis for the building model including the plurality of structural members having the calculation results of the structural cross section is repeated until the design conditions are satisfied. The design support device according to any one of claims 1 to 4.

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