Mitigating tunnel-induced damages using deep neural networks.

• Gradient descent technique aims to provide suggestions for preventing potential risks in tunnels.
• A practical tunnel construction case in China is applied for demonstration purposes.

Yue Pan
Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Department of Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, China

Limao Zhang
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China

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