Evaluation of Tunneling-Induced Lateral Pile Response by an Artificial Intelligence Optimization Algorithm-Reference-Cited by-同舟云学术

Evaluation of Tunneling-Induced Lateral Pile Response by an Artificial Intelligence Optimization Algorithm

Published:2023-10 Issue:10 Volume:23 Page:
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Gu Wenbo¹,Li Hongjiang²^ORCID,Tong Liyuan³

Affiliation:

1. Ph.D. Student, Institute of Geotechnical Engineering, Southeast Univ., Nanjing 211189, China; Dept. of Architecture and Architectural Engineering, Kyoto Univ., Kyoto, Japan.

2. Associate Professor, Institute of Geotechnical Engineering, Southeast Univ., Nanjing 211189, China; Dept. of Architecture and Building Engineering, Tokyo Institute of Technology, Tokyo 152-8550, Japan. ORCID: .

3. Professor, Institute of Geotechnical Engineering, Southeast Univ., Nanjing 211189, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

https://ascelibrary.org/doi/pdf/10.1061/IJGNAI.GMENG-8685

Reference33 articles.

1. API (American Petroleum Institute). 1993. Recommended practice for planning, designing, and constructing fixed offshore platforms. Washington, DC: American Petroleum Institute.

2. Horizontal mechanical responses of single pile due to urban tunnelling in multi-layered soils

3. Pile Responses Caused by Tunneling

4. A simplified analysis method for the influence of tunneling on grouped piles

5. An optimised product-unit neural network with a novel PSO–BP hybrid training algorithm: Applications to load–deformation analysis of axially loaded piles

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