Machine learning based prediction model for the pile bearing capacity of saline soils in cold regions-Reference-Cited by-同舟云学术

Machine learning based prediction model for the pile bearing capacity of saline soils in cold regions

Published:2024-01 Issue: Volume:59 Page:105735
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Yousheng DENG,Keqin ZHANG,Zhongju FENG,Wen ZHANG,Xinjun ZOU,Huiling ZHAO

Publisher

Elsevier BV

Subject

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

Reference31 articles.

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3. Field test study on the changes of water, heat, salt, stress and their mutual influence of CFG pile composite foundation in saline soil;Tianwen;Oxid Commun,2016

4. Field simulation test of bridge pile foundation damage in high altitude and strong salt marsh area;Zhongju;J Traffic Transp Eng,2019

5. Advances in concrete pile durability in corrosive environment;Jingpei;J Harbin Inst Technol,2017

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