Identification of anomaly of tunnel segment strain using an adaptive machine learning model-Reference-Cited by-同舟云学术

Identification of anomaly of tunnel segment strain using an adaptive machine learning model

Published:2024-08-27 Issue: Volume: Page:1-14
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Tan Xu-Yan¹²^ORCID,Tan Xian-Jun¹²,Zhang Rui³,Zhang Zhixin⁴,Tarek Zayd⁵,Du Bo-Wen⁴

Affiliation:

1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, People’s Republic of China

2. University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. Nanyang Technological University, Singapore

4. SKLSDE Lab, Beihang University, Beijing, People’s Republic of China

5. Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

Funder

Project for Research Assistant of the Chinese Academy, Key Deployment Projects of the Chinese Academy of Sciences

National Natural Science Foundation of China

Science and Technology Planning Project of Tibet Autonomous Region

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2024.2395554

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