On prediction of slope failure time with the inverse velocity method

Author:

Zhang Jie1ORCID,Yao Hong-zeng2,Wang Zi-peng1,Xue Ya-dong1ORCID,Zhang Lu-lu3ORCID

Affiliation:

1. Department of Geotechnical Engineering, Tongji University, Shanghai, People’s Republic of China

2. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering, Tongji University, Shanghai, People’s Republic of China

3. Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China

Funder

National Natural Science Foundation of China

Shanghai Education Development Foundation

Shanghai Municipal Education Commission

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference72 articles.

1. Generation of Near-Field Artificial Ground Motions Compatible with Median-Predicted Spectra Using PSO-Based Neural Network and Wavelet Analysis

2. Large reactivated landslides in weak rock masses: a case study from the Northern Apennines (Italy)

3. Brown, D. E. 2014. “The Hessian Matrix: Eigenvalues, Concavity, and Curvature.” Brigham Young University-Idaho, April 21. Accessed January 21 2022. https://www.iith.ac.in/~ashok/Maths_Lectures/TutorialB/Hessian_Examples.pdf.

4. Finite element study of the Nevis Bluff (New Zealand) rock slope failure

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1. An improvement velocity inverse method for predicting the slope imminent failure time;Geomatics, Natural Hazards and Risk;2023-07-25

2. Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales;Acta Geotechnica;2023-03-06

3. Special issue on “Machine learning and AI in geotechnics”;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2023-01-02

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