
2023年5月9日,第48届日内瓦国际发明展公布获奖名单,土木系陆新征教授团队的发明“建筑结构生成式智能设计”,获得“评审团特别嘉许金奖(Gold with congratulations of the jury)”(简称“Gold+”奖)。
“建筑结构生成式智能设计”项目针对建筑结构设计的智能化转型需求,在生成式人工智能(Generative AI)强大的数据学习和新内容生成能力基础上,创新性的发明了基于“数据-力学-知识”协同学习的生成式结构设计方法。该方法由生成网络、判别网络、知识评估器和力学评估器组成,将GAN、GNN、Attention等先进AI技术,与建筑结构设计需求进行了有效结合。
项目团队开发了可有效嵌入建筑结构设计工作流程的智能设计系统ai-structure.com,将智能设计与主流的结构设计软件相兼容,提升建筑结构方案设计效率10倍以上,形成了一种全新高效的设计范式。

项目目前已授权15项发明专利,发表学术论文10余篇,所开发的智能设计系统已被超过40家设计单位的数百位工程师应用。
团队主要成员包括:陆新征教授、廖文杰(博士后)、费一凡(2020级博士生)、冯奕天(2022级博士生)、顾燚(2022级博士生)、覃思中(2019级本科生)、赵鹏举(2019级博士生)、郑哲(2019级博士生)等教师和同学。

团队主要成员合影
从左至右依次为:
冯奕天、赵鹏举、费一凡、陆新征、覃思中、顾燚、廖文杰
日内瓦国际发明展
日内瓦国际发明展(International Exhibition of Inventions of Geneva)创办于上世纪的1973年,每年举办一届,2023年为第48届。日内瓦国际发明展由瑞士联邦政府,日内瓦州政府,日内瓦市政府,世界知识产权组织共同举办的,是规模最大的发明展之一,旨在展示全球各地科学、技术发明与产品创新。发明展分别设特别嘉许金奖(金+ 奖)、金奖、银奖、铜奖等奖项。此次展会共有40多个国家的800多个参展单位共展出1000多个发明项目。
供稿 | 廖文杰
编辑 | 高欣
审核 | 邢沁妍

ai-structure.com:土木工程自然语言规则AI解译模块上线测试(20230513)
AI剪力墙设计问卷调查结果(20230508)
联系方式
QQ群:741840451(欢迎入群交流讨论)
廖文杰:[email protected];
ai-structure.com网站中也有联系我们选项
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, DOI:10.1002/eqe.3862.

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