Generative design and intelligent optimization of shear wall structure
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.
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