您当前的位置:
首页 >
文章列表页 >
Intelligent generative structural design methods for shear wall buildings: From data-driven to physics-enhanced
Digital Twins and Intelligent Construction | 更新时间:2023-11-28
    • Intelligent generative structural design methods for shear wall buildings: From data-driven to physics-enhanced

    • In the field of intelligent construction, researchers have compared the design capabilities of data-driven and physics enhanced data-driven methods in detail through deep generative algorithms and case analysis, and verified the positive correlation between computer vision based evaluation and mechanical analysis based evaluation methods. The results indicate that the physical enhanced data-driven method has more stable design performance and basically eliminates the constraints of data quality and quantity; The rationality threshold based on the computer vision comprehensive evaluation index SCV is 0.5, corresponding to a mechanical performance difference of about 10%.
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 1, Pages: 82-92(2024)
    • DOI:10.11835/j.issn.2096-6717.2022.078    

      CLC: TU318
    • Received:25 April 2022

      Published:25 February 2024

    移动端阅览

  • LIAO Wenjie,LU Xinzheng,HUANG Yuli,et al.Intelligent generative structural design methods for shear wall buildings: From data-driven to physics-enhanced[J].Journal of Civil and Environmental Engineering,2024,46(01):82-92. DOI: 10.11835/j.issn.2096-6717.2022.078.

  •  
  •  

0

Views

7

下载量

3

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Efficient interpolation method for 2D non-stationary CPT data using Gibbs sampling and compressive sampling

Related Author

Wenqing ZHU
Tengyuan ZHAO
Chao SONG
Yu Wang
Ling XU

Related Institution

No data
0