Prediction of Dam Foundation Displacement due to Excavation Unloading Based on Digital Twin: Case Study of Baihetan Hydropower Project-Reference-Cited by-同舟云学术

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Prediction of Dam Foundation Displacement due to Excavation Unloading Based on Digital Twin: Case Study of Baihetan Hydropower Project

Published:2024-06 Issue:6 Volume:150 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Shi Anchi¹,Lyu Changhao²^ORCID,Fan Xuewen³,Hu Mingtao⁴,Wang Huanling⁵,Xu Weiya⁵

Affiliation:

1. Professorate Senior Engineer, PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China.

2. Ph.D. Candidate, Research Institute of Geotechnical Engineering, Hohai Univ., Nanjing 210098, China (corresponding author). ORCID: .

3. Engineer, Zhejiang Huadong Geotechnical Investigation and Design Institute Corporation Limited, Hangzhou, Zhejiang 310030, China.

4. Ph.D. Candidate, Research Institute of Geotechnical Engineering, Hohai Univ., Nanjing 210098, China.

5. Professor, Research Institute of Geotechnical Engineering, Hohai Univ., Nanjing 210098, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7542

Reference29 articles.

1. Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

2. Tropical Storm-Induced Landslide Potential Using Combined Field Monitoring and Numerical Modeling

3. Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification

4. Ensemble smoother with multiple data assimilation

5. Evensen, G. 2006. Data assimilation: The ensemble Kalman filter. Berlin: Springer.

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