未填
0
引言
我們的建筑結構AI設計助手 AI-structure Copilot 帶著全新的優化體驗來啦！在深耕底層核心算法的同時，我們始終關注工程師每一次點擊的“順暢感”。
本次更新深度聚焦各位工程師在使用過程中遇到的三個突出問題：
(1) 部分用戶面臨插件太多導致AI-structure安裝沖突；
(2) 前處理識別結果心里沒底；
(3) 建模分析排查錯誤像“開盲盒”。
新版本通過引入全新的底層掛載技術，以及直觀的視覺輔助、精準的診斷功能，不僅顯著降低了大家在建模板塊的“盲目排錯成本”，且每一步操作的直觀性也有了大幅的躍升！
1
軟件安裝引入自動掛載功能
之前有工程師反饋，在安裝軟件時偶爾會遇到莫名其妙的報錯打斷。經排查，發現是部分電腦的 Windows 注冊表權限在“搗亂”，通常由于多個插件修改注冊表產生沖突。
為了讓大家告別這個煩惱，本次更新我們全新引入了自動掛載技術！它取消了復雜的注冊表驗證，大幅降低對系統權限的依賴，讓軟件部署更安全，安裝成功率提升！
【如果安裝出現新的問題，也歡迎及時反饋】
2
增加識別結果校核后的襯圖顯示功能
在進行設計前處理時，很多工程師總有些不放心：識別生成的構件軸線到底準不準？
為了給大家吃顆“定心丸”，我們在完成識別結果校核后，貼心地加入了“自動顯示原圖作為襯圖”的功能！生成的軸線會與原始灰底圖完美疊合，位置對錯一目了然。同時，為了保持圖面清爽，襯圖被專屬安置在 GANIO_BUILDING_GRAY 圖層，配合圖層一鍵顯隱功能，讓圖紙管理井井有條，校核工作更加高效。
（a）無襯圖效果
（b）有襯圖效果
圖1 增加識別結果校核后的襯圖顯示
3
增加結構建模分析具體報錯信息的提示
針對結構建模分析過程中可能出現的失敗工況，新版本增加了對具體失敗原因的提示機制。
軟件將直接為用戶輸出詳盡的錯誤原因及定位信息（如特定構件的參數缺失、樓層組裝、建模失敗、計算分析失敗、結果提取失敗等）。該功能將大幅降低用戶在CAD使用中的設計結果排錯成本，顯著提升整體設計的順暢度。
圖2 提示結構建模分析失敗的具體報錯信息
4
典型案例
我們基于新版本軟件也對典型案例進行了使用測試，典型測試對比如下圖所示。典型案例是一個10層剪力墻結構（層高3米），6度（0.05g）抗震設防。
(a) 上一版本（v0.4.3）智能設計結果-標準層2
(a) 新版本（v0.4.4）智能設計結果-標準層2
圖3 新/舊版本程序的典型案例設計結果對比
典型改進體現在：
（1）識別更合理：前處理的構件軸線與房間識別合理性提升，剪力墻與梁系布置更自然，不容易出現“怎么排布都別扭”的情況。
（2）低烈度工程不再過分保守：針對低烈度地區設計偏保守的問題，新版本會更有效地控制剪力墻過長的問題，并把長墻調整為更合適的連肢墻形式，讓結構體系更符合工程師對“低烈度剪力墻方案”的整體直覺。
（3）樓板劃分更規整：面向后續結構建模中樓板設計規整的需求，在智能設計過程中增加“虛梁”構件，讓樓板構件劃分更規則、后續更順。
5
結語
AI-structure Copilot的每一次升級，都是課題組在“AI+結構設計”領域的又一次探索。我們堅信，AI輔助工程師高效高質量設計的目標會逐步轉化為現實。歡迎大家對我們的最新版本軟件功能進行試用，并多多提供意見和建議。
后續，我們還將不斷完善相關產品功能。歡迎大家持續關注我們的工作，多多支持！
溫馨提示：為更好使用AI設計工具，請仔細閱讀使用說明書(https://ai-structure.com)。
--End--
3分鐘視頻演示剪力墻結構智能設計完整操作流程
1分鐘視頻建筑戶型平面生成與編輯流程
ai-structure.com聯系方式
QQ群
AI-structure-交流1群：741840451（已滿）
AI-structure-交流2群：1053974604（歡迎加入）
商務問題請聯系：
黃盛楠(huangshengnan@mail.tsinghua.edu.cn)
技術問題請聯系：
廖文杰(liaowj17@tsinghua.org.cn)
ai-structure.com往期文章
(20260211)
(20260209)
(20260123)
(20251226)
(20251211)
(20251210)
(20251120)
(20251030)
(20251027)
(20250926)
(20250913)
(20250912)
(20250911)
(20250828)
(20250723)
(20250703)
(20250609)
(20250606)
(20250513)
(20250414)
(20250314)
(20250221)
(20250218)
(20250212)
(20250117)
(20241228)
(20241227)
(2024/12/02)
(20241104)
(20241018)
(20240909)
(20240830)
(20240809)
(20240726)
(20240712)
(20240628)
(20240522)
(20240520)
(20240511)
(20240419)
(20240329)
(20240315)
(20240308)
(20240219)
(20240126)
(20231230)
(20231222)
(20231208)
(20231201)
(20231103)
(20231008)
(20230928)
(20230915)
(20230731)
(20230711)
(20230519)
(20230518)
(20230513)
(20230508)
(20230503)
相關論文
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/s10518-025-02164-3Liao 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: 10.1177/13694332251353614Gu Y, Qin SZ, Liao WJ, Lu XZ*, Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models,
Computers in Industry
, 2026, 175: 104428. DOI: 10.1016/j.compind.2025.104428
相關資料
學術報告視頻
論文和專利
---End--
特別聲明：以上內容(如有圖片或視頻亦包括在內)為自媒體平臺“網易號”用戶上傳并發布，本平臺僅提供信息存儲服務。
Notice: The content above (including the pictures and videos if any) is uploaded and posted by a user of NetEase Hao, which is a social media platform and only provides information storage services.
