A shallow artificial neural network for mapping bond strength of soil nails

Huifen LiuSchool of Transportation, Civil Engineering and Architecture, Foshan University, Foshan, Guangdong, China;

Peiyuan LinSchool of Civil Engineering, Sun Yat-Sen University, Guangdong, China; Correspondence[email protected]

http://orcid.org/0000-0001-7648-6236

Chengchao GuoSchool of Civil Engineering, Sun Yat-Sen University, Guangdong, China; ;Guangdong Provincial Key Laboratory of Oceanic Civil Engineering, Guangdong, China; ;Guangdong Provincial Research Center for Underground Space Exploitation Technology, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong, China;

Zhongbao LiGuangdong Non-Ferrous Mines Center for Geohazards Prevention and Mitigation, Guangdong, China

Xiao QinSchool of Transportation, Civil Engineering and Architecture, Foshan University, Foshan, Guangdong, China;

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Van Qui Lai, Jim Shiau, Chung Nguyen Van, Huynh Duc Tran & Suraparb Keawsawasvong. (2023) Bearing capacity of conical footing on anisotropic and heterogeneous clays using FEA and ANN. Marine Georesources & Geotechnology 41:9, pages 1053-1070.
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Zihao Sun, Liangqing Wang, Jia-Qing Zhou, Changshuo Wang, Xunwan Yao, Fushuo Gan, Manman Dong & Jianlin Tian. (2023) Prediction of the inertial permeability of a 2D single rough fracture based on geometric information. Acta Geotechnica.
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Yuanxin Lei, Huifen Liu & Zhixiong Lu. (2021) Comparisons of Two Approaches for Geotechnical Model Calibration with Scarce Data. Advances in Civil Engineering 2021, pages 1-12.
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A shallow artificial neural network for mapping bond strength of soil nails

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A shallow artificial neural network for mapping bond strength of soil nails

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