Optimising creep constitutive modelling of layered soft rocks using particle swarm method-Reference-Cited by-同舟云学术

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Optimising creep constitutive modelling of layered soft rocks using particle swarm method

Published:2024-08-27 Issue: Volume: Page:1-12
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-Yan¹^ORCID,Chen Weizhong¹,Wang Luyu²,Tian Hongming¹

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. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2024.2395553

Reference41 articles.

1. Machine learning paradigm for structural health monitoring

2. Selecting parameters to optimize in model calibration by inverse analysis

3. Automatic soil identification from penetrometric signal by using artificial intelligence techniques

4. Performance optimization of hard rock tunnel boring machine using multi-objective evolutionary algorithm

5. Influence of stress-induced microcracks on viscoplastic creep deformation in Marcellus shale

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