AIstructure2023：从智能设计云平台到AIstructure-Copilot

1

AIstructure的2023年回顾

感谢大家一年以来的支持，AIstructure在这一年中取得了系列进步。

2

AIstructure-Copilot-v0.2.0版本介绍

我们梳理了ai-structure.com和AIstructure-Copilot 2023年的所有进展，并将我们的智能设计平台（ai-structure.com）和智能设计助手（Copilot）进行最新功能的同步。系统整合了相关功能和数据格式等，吸收了用户反馈的意见，隆重推出AIstructure-Copilot-v0.2.0，下面将简介v0.2.0的特色功能。

特色1

整合从建筑设计到结构模型的全流程，使得剪力墙结构方案设计的全流程设计时间更短，流程更简洁。

特色2

让AI成为基于CAD智能设计助手，功能高度集成，人机高效交互。使得AI辅助建筑结构设计成为助力，而不是负担。

特色3

AI提供多种算法生成的多方案用以比选，用户根据自己的经验和需求选择。根据我们的经验，一般情况下扩散模型设计结果相对更好一点。

欢迎大家试用！

3

结语

展望2024年，我们希望能进一步提升剪力墙-梁结构的设计质量，同时将提供更多结构类型的智能设计功能。

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。

ai-structure.com联系方式

QQ群，AI-structure-交流群：741840451

廖文杰：[email protected]

相关论文

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2. 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.
   

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9.  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

10. 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, DOI:10.1002/eqe.3862.

11. 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.

12. 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, 2023, DOI: 10.1111/mice.13094.

13. 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.

14. 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, DOI：10.1016/j.jobe.2023.107873

15. 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

16. 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