3500个实际工程！AI-structure Copilot加速进步
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引言
引言
自2023年7月上线以来，AI-structure Copilot完成的项目数一路从0→2000→2500→3000，如今我们正式迈过第3500个实际工程设计项目的里程碑，在这里感谢每一位使用我们产品的工程师，正是你们的鼓励与信任，一起把这款“会干活的AI”打磨成了“更懂工程的搭档”。
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AI-structure Copilot近期亮点速览
AI-structure Copilot近期亮点速览
这段时间，我们始终在两个方向持续进化：一是更贴合规范与工程实际，二是把“前处理—智能设计—模型交付”的链路再压缩。
（1）学会“好房子”的设计：v0.3.5版本，通过重新训练AI模型，显著提升了在3米层高条件下结构智能设计的力学性能合规率，助力广大结构工程师高效满足新国标要求。
（2）增加并完善了框架设计功能：v0.3.6和v0.3.7版本增加了框架结构的智能设计功能，并且完善了半框梁（一端连柱一端连主梁）与次梁（两端连主梁）的智能设计，更接近工程真实做法。
（3）剪力墙设计模块更聪明：v0.3.8版本从“多算法融合+倾斜梁布置”等方面精进了算法，对复杂平面更友好，方案更贴合工程师直觉。同时，软件可以为用户提供“稳定版×3+测试版×1”的多路线结果，同时满足不同用户“求稳”和“尝鲜”的不同偏好。
（a）建筑平面布置图
（b）最新测试版的梁智能设计结果
（c）算法A的梁智能设计结果
图1 复杂平面不同算法梁智能设计结果的对比
（4）一键完成设计到计算：v0.3.9版本实现了框架/框筒一键生成三维模型的功能，用户可以在设计完成后，直接生成pkpm.jwd与yjk.ymd模型文件。
（a）平面布置图
（b）智能设计结果
（c）导出的PKPM三维模型
（d）导出的YJK三维模型
图2 典型结构设计案例
（5）识图能力跃迁：v0.4.0版本实现了“智能识图”功能，直击“图层乱、构件漏识别”等用户使用痛点，用户只需要直接框选平面，AI一键识别门窗、阳台、墙体及空间信息，可视化提示可疑构件，并给出推荐处置策略。
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越来越多的工程师在用AI-structure Copilot
越来越多的工程师在用AI-structure Copilot
AI-structure Copilot经过多版本的迭代进化，软件实现面向交付的全链条设计：从识图到智能设计，再到计算模型的导出，一条龙减少设计师工作量。同时，AI-structure Copilot已经完成3500个工程实际应用，智能设计技术不再是“纸上谈兵”。
图3 AI-structure Copilot完成的第3500个工程项目
此外，软件还可以提供多版本的设计结果供用户选择，稳定版保障工程落地，测试版持续提供尝新能力，兼顾创新与稳健。
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结语
结语
AI-structure Copilot将继续打磨设计算法，让每一位结构工程师都能“更快、更稳、更合规”地完成设计。欢迎大家积极提出反馈意见。
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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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.2023.101886
Liao 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.2023.107873
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
Qin 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/sc20240001
Gu 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.13236
Fei 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.4151
Han 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.2024.118500
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
Wang 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-6076
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Yu 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.2024.119472
Qin 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 an alysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces. Bulletin of Earthquake Engineering, 2025, DOI: 10.1007/s10518-025-02164-3
Liao 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.2025.120662
Qin 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.2025.120810
Fei 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
