AI-structure Copilot v0.4.2：剪力墙设计算法再升级，又省又合规！
0
引言
我们的建筑结构AI设计助手AI-structure Copilot再次迎来重要升级！本次更新聚焦剪力墙智能设计模块，推出新的生成式智能设计算法，同时考虑到一些老用户的使用习惯，这次升级是以实验室版本形式发布。新算法针对性地强化了AI设计过程中的结构地震变形约束条件，不仅显著提升了设计结果的“地震变形指标”通过率，且材料用量也有一定程度的降低！
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v0.4.2版本增加实验室版本新算法
由于本次AI-structure Copilot v0.4.2版本算法变化较大，为了不影响老用户的使用习惯，我们将新算法以实验室版本的形式发布。
用户其他操作与此前版本都完全一样。用户在完成图纸前处理后，点击“剪力墙-梁智能设计”功能按键（图1a），软件将弹出图1b所示对话框，用户可根据需要选择“正式版”或“实验室版”的生成式算法开展智能设计。其中，实验室版算法将分为4步开展智能设计，总耗时约2-6分钟（图1c）。
（a）“剪力墙-梁智能设计”功能按键
（b）正式版和实验室版算法选择
（c）实验室版智能设计进度
图1 v0.4.2版本增加“实验室版”算法
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实验室版算法的设计效果
继3500+实际工程验证后，随着用户使用量的增加，更复杂的设计挑战也越来越多。因此，我们也在不断改进我们的智能设计算法，不断提升智能设计的合规性。
图2为某实际工程案例，其中图2a为正式版算法A的智能设计结果，图2b为实验室版算法的智能设计结果，图2c为地震力作用下两者层间位移角的对比情况。可以看出，实验室版算法在更多的考虑了力学约束后，增加了局部X向的剪力墙布置，使得设计结果符合规范限值要求。
（a）正式版算法A的智能设计结果
（b）实验室版算法的智能设计结果
（c）层间位移角对比
图2 实验室版本算法与算法A的比较
因此，对地震变形指标合规率需求较高的用户，可以采用“实验室版”新算法（AI设计用时会多一点）；仅需AI先给出初步结构布置结果，对设计稳定性与多方案要求较高的用户，可继续采用“正式版”算法。
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结语
AI-structure Copilot的每一次升级，都是课题组在“AI+工程设计”领域的又一次探索。欢迎大家试用我们的实验室版功能，并多多提供意见和建议。
后续，我们还将不断完善相关产品功能。欢迎大家持续关注我们的工作，多多支持！
温馨提示：为更好使用AI设计工具，请仔细阅读使用说明书(https://ai-structure.com)。
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商务问题请联系：
黄盛楠([email protected])
技术问题请联系：
廖文杰([email protected])
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Lu XZ, Liao WJ, Zhang Y, Huang YL, Intelligent structural design of shear wall residence using physics-enhanced generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2022, 51(7): 1657-1676. DOI: 10.1002/eqe.3632.
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Liao WJ, Huang YL, Zheng Z, Lu XZ, Intelligent generative structural design method for shear-wall building based on “fused-text-image-to-image” generative adversarial networks, Expert Systems with Applications, 2022, 118530, DOI: 10.1016/j.eswa.2022.118530.
Fei YF, Liao WJ, Zhang S, Yin PF, Han B, Zhao PJ, Chen XY, Lu XZ, Integrated schematic design method for shear wall structures: a practical application of generative adversarial networks, Buildings, 2022, 12(9): 1295. DOI: 10.3390/buildings1209129.
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Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent design of shear wall layout based on graph neural networks, Advanced Engineering Informatics, 2023, 55:101886, DOI: 10.1016/j.aei.2023.101886
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Liao WJ, Lu XZ, Fei YF, Gu Y, Huang YL, Generative AI design for building structures, Automation in Construction, 2024, 157: 105187. DOI: 10.1016/j.autcon.2023.105187
Zhao PJ, Liao WJ, Huang YL, Lu XZ, Beam layout design of shear wall structures based on graph neural networks, Automation in Construction, 2024, 158: 105223. DOI: 10.1016/j.autcon.2023.105223
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Qin SZ, Guan H, Liao WJ, Gu Y, Zheng Z, Xue HJ, Lu XZ, Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence, Journal of Building Engineering, 2024, 95: 109996. DOI: 10.1016/j.jobe.2024.109996
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