Research on the Support Design of Asymmetrically Loaded Deep Excavation Based on Displacement Control

This study investigates the displacement behavior of excavations under asymmetric loading conditions and proposes optimized support design strategies from the perspective of displacement control. Physical model tests reveal that, in excavation projects under eccentric loading conditions, the retaining structure as a whole tends to deform toward the non-surcharge side rather than following the conventional symmetric deformation pattern. Displacement increases nonlinearly with surcharge intensity, but the growth rate diminishes as the load further increases due to localized surcharge effects and structural restraints. Numerical analyses further demonstrate that increasing embedment depth and wall thickness effectively mitigates lateral displacement, although a marginal effect is observed beyond critical thresholds. For instance, at an embedment depth of 12 m (twice the excavation depth), maximum lateral displacement decreases by nearly 50%, and when combined with a wall thickness of 13 cm and a depth of 14 m, the reduction reaches approximately 90%. These findings establish a quantitative basis for deformation control in excavations subjected to asymmetric loading and guide the efficient optimization of retaining systems. They enhance design reliability and construction efficiency, offering practical value for improving safety, performance, and overall project economy.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-11-08
DOI
https://doi.org/10.3390/buildings15224026
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Support Design of Asymmetrically Loaded Deep Excavation Based on Displacement Control

Weibing Chen, Wujiang Li, Ying Sun, Peng Jiang et al.
Buildings
Geotechnical Engineering and Analysis
article

Research on the Support Design of Asymmetrically Loaded Deep Excavation Based on Displacement Control

Weibing Chen, Wujiang Li, Ying Sun, Peng Jiang, Wentao Shang, Fuyuan Liu
article en

Abstract

This study investigates the displacement behavior of excavations under asymmetric loading conditions and proposes optimized support design strategies from the perspective of displacement control. Physical model tests reveal that, in excavation projects under eccentric loading conditions, the retaining structure as a whole tends to deform toward the non-surcharge side rather than following the conventional symmetric deformation pattern. Displacement increases nonlinearly with surcharge intensity, but the growth rate diminishes as the load further increases due to localized surcharge effects and structural restraints. Numerical analyses further demonstrate that increasing embedment depth and wall thickness effectively mitigates lateral displacement, although a marginal effect is observed beyond critical thresholds. For instance, at an embedment depth of 12 m (twice the excavation depth), maximum lateral displacement decreases by nearly 50%, and when combined with a wall thickness of 13 cm and a depth of 14 m, the reduction reaches approximately 90%. These findings establish a quantitative basis for deformation control in excavations subjected to asymmetric loading and guide the efficient optimization of retaining systems. They enhance design reliability and construction efficiency, offering practical value for improving safety, performance, and overall project economy.

BuildingsVol. 15(22)
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Binzhou People's Hospital (CN), China Power Engineering Consulting Group (China) (CN), Dongfeng Motor Group (China) (CN), Jinan Municipal Engineering Design & Research Institute (China) (CN), Shandong Electric Power Engineering Consulting Institute Corp (CN), Shandong Jianzhu University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 59%
Geotechnical Engineering and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.