Prediction of Surface Settlement in Shield-Tunneling Construction Process Using PCA-PSO-RVM Machine Learning-Reference-Cited by-同舟云学术

Prediction of Surface Settlement in Shield-Tunneling Construction Process Using PCA-PSO-RVM Machine Learning

Published:2023-06 Issue:3 Volume:37 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Zhang Yan¹,Wang Zicheng²,Kuang Hewei²,Fu Feng³^ORCID,Yu Aiping¹

Affiliation:

1. Professor, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China.

2. Master’s Degree Candidate, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China.

3. Associate Professor, Dept. of Civil Engineering, School of Science and Technology, City Univ. of London, Northampton Square, London EC1V 0HB, UK; Adjunct Professor, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JPCFEV.CFENG-4363

Reference32 articles.

1. Modeling of incentive-based policies for demand management for the Tehran subway

2. Evaluation of Group Capacity of Micropile in Soft Clayey Soil from Experimental Analysis Using SVM-Based Prediction Model

3. Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods

4. Predictions of ground deformations in shallow tunnels in clay

5. Agglomeration, housing affordability, and new firm formation: The role of subway network

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