0引言在上一篇公众 号中，我们给大家介绍了AIstructure-Copilot-V0.4.0的新功能：基于智能识图的前处理，实现了建筑CAD图纸信息的一键智能识别和提取，极大的方便了用户操作，本文我们将继续带领您体验全新界面下的剪力墙结构智能设计与优化的全过程，可以帮助工程师快速完成结构方案设计。1剪力墙结构智能设计前处理完成后的图纸如图1所示，程序已经识别了剪力墙、门、窗等构件，并给出了各空间的功能属性。此时，用户可以点击“剪力墙-梁智能设计”按钮（图2），根据提示逐一选取各标准层及其对应的基准点，各楼层将根据基准点的位置上下对齐，选择完毕后软件将任务提交云端服务器，开始智能设计（图3）。 图1 前处理完成后的图纸 图2 剪力墙-梁智能设计功能 图3 云端开展智能设计智能设计完成后，软件会将设计结果从云端传回本地，并显示在原图纸的右侧。Copilot会提供给用户四种不同方法得到的结构设计方案，并将材料用量预测结果显示在图纸下方，用户可根据需要选择所需方案（图4）。 图4 最新测试版的设计结果展示2剪力墙结构分析与优化剪力墙结构智能设计完成后，软件提供了结构分析与优化的功能选项（图5），可以协助工程师快速完成PKPM建模和力学分析，查看主要力学指标是否合规，并可由AI快速完成优化，让设计结果更合理。 图5 剪力墙结构分析与优化功能2.1 结构建模分析选择“结构建模分析”功能，软件会弹出项目管理窗口（图6），用户可根据需要选择其中的一个或几个AI设计结果，执行PKPM结构分析。这里需要用户注意的是，如果用户又对AI设计结果进行了进一步的人工调整，则需要点击“手动选取”，按照软件提示逐一选取调整后的标准层及其对应的基准点，如果没有人工调整，则直接点击“下一步”即可（图7）。 图6 项目管理 图7 执行PKPM结构分析PKPM结构分析完成后，项目管理界面会返回相应的结果（图8），用户可查看分析是否成功，并通过“PKPM计算结果显示”快速查询关键力学指标（图9），还可将该指标导出到EXCEL表格中。同时，用户也可将该PKPM模型下载至本地。 图8 PKPM结构分析结果返回 图9 PKPM计算结果显示2.2 剪力墙-梁设计优化AI第一次给出的智能设计结果，可能会出现部分指标超限的情况，这时用户可执行“剪力墙-梁优化”功能，对设计结果进行调整，通常超限幅度在10%以内的，通过自动优化即可满足规范要求。该过程通常需要十几分钟时间，执行完毕后用户可通过“模型下载”功能将优化后的模型下载至本地，优化后的结构布置图纸和相应的力学计算指标也将显示在原图纸的下方（图11）。 图10 执行“剪力墙-梁优化”功能 图11 优化后的结构布置和力学计算指标2.3 计算模型导出程序已经提供了PKPM模型下载功能。为了便于工程师将Copilot的分析和设计结果导入除PKPM的其他软件，我们还提供了“计算模型导出”功能（图12）。点击该选项，选择需要导出的结构模型，软件将导出模型的JSON文件（图13），供用户连接其他软件使用。 图12 计算模型导出功能 图13 模型导出文件完成上述操作步骤后，剪力墙结构智能设计和优化工作就完成了，您如果有更多的使用建议和功能需求，欢迎和我们取得联系。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)。--End--相关论文Liao WJ, Lu XZ, Huang YL, Zheng Z, Lin YQ, Automated structural design of shear wall residential buildings using generative adversarial networks, Automation in Construction, 2021, 132: 103931. DOI: 10.1016/j.autcon.2021.103931.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.Zhao PJ, Liao WJ, Xue HJ, Lu XZ, Intelligent design method for beam and slab of shear wall structure based on deep learning, Journal of Building Engineering, 2022, 57: 104838. DOI: 10.1016/j.jobe.2022.104838.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.Fei YF, Liao WJ, Huang YL, Lu XZ, Knowledge-enhanced generative adversarial networks for schematic design of framed tube structures, Automation in Construction, 2022, 144: 104619. DOI: 10.1016/j.autcon.2022.104619.Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent design of shear wall layout based on attention-enhanced generative adversarial network, Engineering Structures, 2023, 274: 115170. DOI: 10.1016/j.engstruct.2022.115170.Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent beam layout design for frame structure based on graph neural networks, Journal of Building Engineering, 2023, 63, Part A: 105499. DOI: 10.1016/j.jobe.2022.105499.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.2023.101886Liao WJ, Wang XY, Fei YF, Huang YL, Xie LL, Lu XZ, Base-isolation design of shear wall structures using physics-rule-co-guided self-supervised generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2023, 52(11): 3281-3303. DOI:10.1002/eqe.3862.Feng YT, Fei YF, Lin YQ, Liao WJ, Lu XZ, Intelligent generative design for shear wall cross-sectional size using rule-embedded generative adversarial network, Journal of Structural Engineering-ASCE, 2023, 149(11). 04023161. DOI:10.1061/JSENDH.STENG-12206.Fei YF, Liao WJ, Lu XZ, Guan H, Knowledge-enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings, Computer-Aided Civil and Infrastructure Engineering, 2024, 39(4): 518-538. DOI: 10.1111/mice.13094.Zhao PJ, Fei YF, Huang YL, Feng YT, Liao WJ, Lu XZ, Design-condition-informed shear wall layout design based on graph neural networks, Advanced Engineering Informatics, 2023, 58: 102190. DOI: 10.1016/j.aei.2023.102190.Fei YF, Liao WJ, Lu XZ, Taciroglu E, Guan H, Semi-supervised learning method incorporating structural optimization for shear-wall structure design using s mall and long-tailed datasets, Journal of Building Engineering, 2023, 79: 107873. DOI：10.1016/j.jobe.2023.107873Liao 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.2023.105187Zhao 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.2023.105223Qin SZ, Liao WJ, Huang SN, Hu KG, Tan Z, Gao Y, Lu XZ, AIstructure-Copilot: assistant for generative AI-driven intelligent design of building structures, S mart Construction, 2024, DOI: 10.55092/sc20240001Gu Y, Huang YL, Liao WJ, Lu XZ, Intelligent design of shear wall layout based on diffusion models, Computer-Aided Civil and Infrastructure Engineering, 2024, 39(23):3610-3625. DOI: 10.1111/mice.13236Fei YF, Liao WJ, Zhao PJ, Lu X*, Guan H, Hybrid surrogate model combining physics and data for seis mic drift estimation of shear-wall structures, Earthquake Engineering & Structural Dynamics, 2024, 53(10): 3093-3112. DOI: 10.1002/eqe.4151Han J, Lu XZ, Gu Y, Cai Q, Xue HJ, Liao WJ, Optimized data representation and understanding method for the intelligent design of shear wall structures, Engineering Structures, 2024, 315: 118500. DOI: 10.1016/j.engstruct.2024.118500Qin 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.2024.109996Wang ZH, Yue Y, Chen Y, Liao WJ, Li CS, Hu KG, Tan Z, Lu XZ. Expert experience-embedded evaluation and decision-making method for intelligent design of shear wall structures. Journal of Computing in Civil Engineering-ASCE, 2025, 39(1). DOI: 10.1061/JCCEE5.CPENG-6076Tan Z, Qin SZ, Hu KG, Liao WJ, Gao Y, Lu XZ, Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces, Earthquake Engineering & Structural Dynamics, 2025, 54(2): 530-547. DOI: 10.1002/eqe.4268Yu Y, Chen Y, Liao WJ, Wang ZH, Zhang SL, Kang YJ, Lu XZ, Intelligent generation and interpretability an alysis of shear wall structure design by learning from multidimensional to high-dimensional features, Engineering Structures, 2025, 325: 119472. DOI: 10.1016/j.engstruct.2024.119472Qin SZ, Liao WJ, Huang YL, Zhang Shulu, Gu Y, Han J, Lu XZ, Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks, Automation in Construction, 2025, 171: 105967. Xia JK, Liao WJ, Han B, Zhang SL, Lu XZ, Intelligent co-design of shear wall and beam layouts using a graph neural network, Automation in Construction, 2025, 172: 106024. Qin SZ, Liao WJ, Tan Z, Hu KG, Gao Y, Lu XZ, Comparative a nalysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces. Bulletin of Earthquake Engineering, 2025, DOI: 10.1007/s10518-025-02164-3Liao WJ, Zhang ZL, Liu B, Lu XZ, Liu DF, Liu Q, Duan ZJ, Liu C, Intelligent zoning design of concrete-faced rockfill dams using image-parameter fusion enhanced generative adversarial networks, Engineering Structures, 2025, 339: 120662. DOI: 10.1016/j.engstruct.2025.120662Qin SZ, Fei YF, Liao WJ, Lu XZ*, Leveraging data-driven artificial intelligence in optimization design for building structures: A review, Engineering Structures, 2025, 341: 120810. DOI: 10.1016/j.engstruct.2025.120810Fei YF, Lu XZ, Liao WJ, Guan H, Data enhancement for generative AI design of shear wall structures incorporating structural optimization and diffusion models, Advances in Structural Engineering, 2025, DOI: 10.1177/13694332251353614来源：陆新征课题组
