0
引言
自2023年7月AIstructure-Copilot的剪力墙智能设计功能上线以来,经过近两年的不懈努力,该功能已经比较完善,得到了广大工程师的好评和大量应用。
近期经常有工程师咨询,除了剪力墙结构外,其他结构类型的智能设计方法何时可以上线。今天,我们推出了新增框架结构智能设计功能的AIstructure-Copilot-V0.3.6版本,诚邀大家试用,并给我们提出宝贵意见。
1
增加框架结构智能设计功能
1.1 菜单栏增加框架结构设计功能模块
AIstructure-Copilot-V0.3.6在菜单栏中增加了框架结构智能设计模块,如下图所示。其中,包括使用引导、框架梁智能设计、构件截面尺寸智能设计、构件截面&荷载的显示与修改,结构PKPM模型自动构建与分析等功能。
图1 菜单栏增加“框架结构智能设计”模块
1.2 框架结构智能设计操作
3分钟视频演示框架结构智能设计操作流程
用户在实际工作中,应按照下述操作过程进行框架结构的智能设计。
(1)对CAD图纸进行设计前处理,此部分操作在设计前处理模块中完成,与剪力墙结构的前处理相同,包括图层提取、参数设置、轴线提取、建筑空间识别等步骤;
(2)完成前处理后,在“框架结构智能设计”模块,完成框架梁智能设计,AI将根据建筑图纸的布置,智能完成框架梁的布置;
(3)检查并调整楼板荷载,用户根据建筑实际使用用途,检查核对楼板的荷载信息,对需要单独调整的部分进行人工调整,为后续构件截面尺寸预测提供输入;
(4)框架截面尺寸智能设计,AI将根据框架梁的布置结果和楼板荷载信息,自动生成构件截面尺寸信息,并显示在CAD界面;
(5)完成智能设计后,用户对设计结果的构件截面与荷载信息进行检查核对,对需要调整的进行人工修改;
(6)自动结构建模和分析,软件可将用户调整后的设计结果直接在后台调用PKPM进行力学分析和计算,将分析结果展示给用户,同时用户可下载PKPM模型到本地,方便后续设计工作的开展。
2
框架结构智能设计典型案例
我们以一个高13.5m,跨度5.4m X 1.8m X 5.4m,位于8度区的框架为例,其建筑图如图2所示,前处理完成后的图纸如图3所示。其中,红色为柱子,黄色为建筑墙,蓝色为门窗。
图2 建筑图
图3 前处理完成后的图纸
前处理完成后,用户执行框架梁智能设计,软件将自动根据建筑布局,完成框架梁的布置,结果如图4所示,蓝色为AI自动布置的框架梁。
图4 框架梁智能设计结果
(蓝色为框架梁)
完成框架梁智能设计后,可进行框架构件截面尺寸智能设计,软件将提供两种算法的设计结果,图5为其中一种算法的设计结果示例,用户可通过构件截面&荷载显示功能进一步查看每个构件的截面尺寸设计结果。
图5 框架构件尺寸智能设计结果
用户可以将智能设计结果进行结构建模分析,这里软件会自动在后台调用PKPM软件进行力学分析(如图6所示),可以直接给出力学指标(如图7所示),用户也可以将模型下载到本地,便于后续工作的开展。
图6 结构建模分析功能
图7 结构建模分析的力学指标结果
3
AIstructure-Copilot的框架结构设计适用范围
目前,AIstructure-Copilot提供的框架结构智能设计算法主要用于较为规则的框架结构,例如平面规则的宿舍楼、教学楼等。但是对于平面布置比较复杂的案例,智能设计算法还在调试中,AIstructure设计结果仅供参考。
设计效果较好的典型案例如下:
以下案例的设计算法还在测试完善中:
4
结语
AIstructure-Copilot-V0.3.6新增了框架结构智能设计模块,功能更齐全,可以更好的辅助工程师开展工作,欢迎大家试用,并多多提出宝贵意见。
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)。
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.2023.101886
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 small 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, Smart 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 seismic 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
Tan 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.4268
Yu Y, Chen Y, Liao WJ, Wang ZH, Zhang SL, Kang YJ, Lu XZ, Intelligent generation and interpretability analysis 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 analysis 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
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