This study explores artificial intelligence (AI) for shear wall layout design, aiming to overcome challenges in data feature sparsity and the complexity of drawing representations in existing AI-based methods. We pioneer an innovative method leveraging the potential of diffusion models, establishing a suitable drawing representation, and examining the impact of various conditions. The proposed image-prompt diffusion model incorporating a mask tensor featuring tailored training methods demonstrates superior feature extraction and design effectiveness. A comparative study reveals the advanced capabilities of the Struct-Diffusion model in capturing engineering designs and optimizing performance metrics such as inter-story drift ratio (in elastic analysis), offering significant improvements over previous methods and paving the way for future innovations in intelligent designs.

中文翻译：

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基于扩散模型的剪力墙布置智能设计


本研究探索了剪力墙布局设计中的人工智能（AI），旨在克服现有基于人工智能的方法中数据特征稀疏性和绘图表示复杂性的挑战。我们开创了一种创新方法，利用扩散模型的潜力，建立合适的绘图表示，并检查各种条件的影响。所提出的图像提示扩散模型结合了具有定制训练方法的掩模张量，展示了卓越的特征提取和设计有效性。比较研究揭示了结构扩散模型在捕获工程设计和优化层间漂移比（弹性分析中）等性能指标方面的先进功能，比以前的方法提供了显着改进，并为智能设计的未来创新铺平了道路。