Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods-Reference-Cited by-同舟云学术

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Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods

Published:2021-02 Issue: Volume:122 Page:103490
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Lin Song-Shun,Shen Shui-Long^ORCID,Zhou Annan^ORCID,Xu Ye-Shuang

Funder

The Pearl River Talent Recruitment Program

Guangdong Province and the Research Funding of Shantou University for New Faculty Member

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference95 articles.

1. Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP;Lyu;Sci. Total Environ.,2020

2. A three-dimensional fluid-solid coupled numerical modeling of the barrier leakage below the excavation surface due to dewatering;Wu;Hydrogeol. J.,2020

3. Analyses of leakage effect of waterproof curtain during excavation dewatering;Wu;J. Hydrol.,2020

4. Dewatering-induced building settlement around a deep excavation in soft deposit in Tianjin, China;Wu;J. Geotech. Geoenviron. Eng. ASCE,2019

5. Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen;Lyu;Sustain. Cities Soc.,2020

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