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首页|期刊导航|建筑结构学报|基于数据驱动和设计规则约束的钢框架-支撑结构平面布置智能设计方法

基于数据驱动和设计规则约束的钢框架-支撑结构平面布置智能设计方法

王伟 付柏超

建筑结构学报2024,Vol.45Issue(7):13-21,9.
建筑结构学报2024,Vol.45Issue(7):13-21,9.DOI:10.14006/j.jzjgxb.2023.0594

基于数据驱动和设计规则约束的钢框架-支撑结构平面布置智能设计方法

Data-driven and design rule constraint-based intelligent layout design method for steel frame-brace structures

王伟 1付柏超1

作者信息

  • 1. 同济大学土木工程防灾减灾全国重点实验室,上海 200092||同济大学建筑工程系,上海 200092
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摘要

Abstract

Artificial intelligence algorithm is a key technology to realize the automated and intelligent design of building structures.However,due to the lack of physical rules constraint,artificial intelligence algorithms in practical engineering applications tend to provide unreasonable results.Therefore,in this study,by integrating structural design rules into the generative adversarial network(GAN)in the form of the neural network module,a novel intelligent layout design method for steel frame-brace structures,FrameGAN-sym,was proposed.The basic principles and ideas of this method were first introduced,and then the design results of FrameGAN-sym were compared and analyzed in detail with those of FrameGAN,which proves that FrameGAN-sym can synthesize more symmetric structural drawings according to the requirements of the proposed symmetry constraint network module.The mechanical properties of the design of FrameGAN,FrameGAN-sym and the engineers were compared through three engineering cases of steel frame-brace structures with different heights.The results show that the design of FrameGAN-sym is closer to that of engineers in terms of mechanical properties,and the torsion effect of the FrameGAN-sym-designed structure is reduced compared with the FrameGAN-designed structures.

关键词

钢框架-支撑结构/人工智能/平面布置设计/对称性/扭转效应

Key words

steel frame-brace structure/artificial intelligence/layout design/symmetry/torsion effect

分类

建筑与水利

引用本文复制引用

王伟,付柏超..基于数据驱动和设计规则约束的钢框架-支撑结构平面布置智能设计方法[J].建筑结构学报,2024,45(7):13-21,9.

基金项目

国家自然科学基金项目(52378182),"十四五"国家重点研发计划(2022YFC3801900),上海市科技创新行动计划(22dz1201700). (52378182)

建筑结构学报

OA北大核心CSTPCD

1000-6869

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