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Mechanics of Advanced Materials and Structures Volume 30, 2023 - Issue 19
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Original Articles

Predictions of loading capacity and stiffness of corroded circular steel tubes based on artificial neural networks

Zhongwei Zhaoa School of Civil Engineering, Liaoning Technical University, Fuxin, China;b School of Civil Engineering, Southeast University, Nanjing, Jiangsu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6175-5664View further author information
ORCID Icon,
Song Zhoua School of Civil Engineering, Liaoning Technical University, Fuxin, ChinaView further author information
,
Yuan Yangc College of Engineering, Ocean University of China, Qingdao, ChinaView further author information
,
Bingzhen Zhaod Shaanxi Construction Engineering Holding Group, Future City Innovation Technology Co., Ltd, Xi’an, ChinaView further author information
,
Tian Gaoa School of Civil Engineering, Liaoning Technical University, Fuxin, ChinaView further author information
&
Duo Yua School of Civil Engineering, Liaoning Technical University, Fuxin, ChinaView further author information
Pages 4040-4051 | Received 05 Apr 2022, Accepted 05 Jun 2022, Published online: 14 Jun 2022

Citations (3)

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Read on this site (3)

Zhongwei Zhao, Zhaoguo Ma, Song Zhou, Pingyi Zhang & Bing Liang. (2023) Probabilistic model of torsion capacity of randomly corroded circular steel tube. Mechanics of Advanced Materials and Structures 30:22, pages 4627-4638.
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Tian Gao, Zhongwei Zhao, Hui Gao & Song Zhou. (2023) Axial capacity of GFRP–concrete–steel composite columns and prediction based on artificial neural network. Mechanics of Advanced Materials and Structures 0:0, pages 1-16.
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T. N. Nguyen, Dongsheng Zhang, Masoomeh Mirrashid, Dinh Khuong Nguyen & Pairod Singhatanadgid. Fast analysis and prediction approach for geometrically nonlinear bending analysis of plates and shells using artificial neural networks. Mechanics of Advanced Materials and Structures 0:0, pages 1-19.
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