建筑结构学报2024，Vol.45Issue(7)：22-30,9.DOI:10.14006/j.jzjgxb.2023.0440
剪力墙结构生成式设计与智能优化
Generative design and intelligent optimization of shear wall structure
摘要
Abstract
The design of shear wall structures currently relies primarily on the experience of designers and continuous trial and error process.To achieve rapid and optimal design,a method integrating generative design with intelligent optimization has been proposed in this study.Initially,the Stable Diffusion(SD)model is used for the generative design of shear wall structures.Subsequently,based on the results of the generative design,taboo search is employed for intelligent optimization.The SD-based generative design mainly includes fine-tuning of SD by low-rank adaptation methods using small sample data,as well as image processing techniques such as vector pixelation and pixel vectorization.The intelligent optimization based on taboo search includes the definition of parameter space,the definition of domain actions,the optimization objectives and the design of the optimization process.The proposed method is compared and verified with two actual project cases.The results show that the generative design method for shear wall structures can provide designs that meet basic design requirements in approximately 30 seconds.The designs optimized by the intelligent system achieve a similarity of up to 85％compared to the solutions given by designers,fulfilling the purpose of aiding the design process.关键词
剪力墙结构/辅助设计/智能设计/生成式设计/智能优化Key words
shear wall structure/aided design/intelligent design/generative design/intelligent optimization分类
建筑与水利引用本文复制引用
王禄锋,刘界鹏,程国忠,胡佳豪,黄学思,喻鹏..剪力墙结构生成式设计与智能优化[J].建筑结构学报,2024,45(7):22-30,9.基金项目
重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0136),国家自然科学基金重点项目(52130801). （CSTB2022TIAD-KPX0136）
