Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Architecture,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11709-022-0858-5.pdf
Reference43 articles.
1. Tayeb F, Caron J F, Baverel O, Du Peloux L. Stability and robustness of a 300 m2 composite gridshell structure. Construction & Building Materials, 2013, 49: 926–938
2. Kaveh A, Servati H. Neural networks for the approximate analysis and design of double layer grids. International Journal of Space Structures, 2002, 17(1): 77–89
3. Fan W, Chen Y, Li J, Sun Y, Feng J, Hassanin H, Sareh P. Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications. Structures, 2021, 33: 3954–3963
4. Xu Y, Zhang M, Zheng B. Design of cold-formed stainless steel circular hollow section columns using machine learning methods. Structures., 2021, 33: 2755–2770
5. Bekdaş G, Yücel M, Nigdeli S M. Estimation of optimum design of structural systems via machine learning. Frontiers of Structural and Civil Engineering, 2021, 15(6): 1–12
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