Impact of surface loading on deep excavation response: centrifuge and numerical analyses

In this study, the influence of surface loading on wall and ground behaviour for deep excavations was investigated. Centrifuge tests and finite-element analyses were performed to characterise the effects of various surface loading components, including loading location (es), size of loading area (ABL), given by width (Bs) and length (Ls), and magnitude of load (Q). Results showed that smaller es, larger ABL, and higher Q resulted in larger wall deflection (δw), ground settlement (sv), and lateral earth pressure on the wall (σ′h). The increases in δw, sv, and σ′h diminished close to the greenfield case at es/Hex, Bs/Hex, and Ls/Hex of 1.2, 2.0, and 2.0, respectively, indicating the limit influence ranges of the components. The increases in δw, sv, and σ′h with increasing Bs/Hex were larger than with increasing Ls/Hex, indicating the directional effect of loading area. The effects of surface loading components were evaluated and quantified using a factor (η), based on the stiffness influence factor (IF) with a modification procedure to consider the effects of es, ABL, and Q. Case examples showed that the proposed method was valid and effective in predicting wall deflection and settlement for deep excavations with loads in nearby areas.

Authors

Institutions

Publication Details

Journal
International Journal of Physical Modelling in Geotechnics
Published
2025-05-29
DOI
https://doi.org/10.1680/jphmg.24.00083
Citations
2
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
2.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of surface loading on deep excavation response: centrifuge and numerical analyses

Qaisar Abbas, Jonghyeog Yoon, Hyundon Shin, Junhwan Lee
2 citations
International Journal of Physical Modelling in Geotechnics
Geotechnical Engineering and Analysis
2.61
article

Impact of surface loading on deep excavation response: centrifuge and numerical analyses

Qaisar Abbas, Jonghyeog Yoon, Hyundon Shin, Junhwan Lee
article en
2 citations

Abstract

In this study, the influence of surface loading on wall and ground behaviour for deep excavations was investigated. Centrifuge tests and finite-element analyses were performed to characterise the effects of various surface loading components, including loading location (es), size of loading area (ABL), given by width (Bs) and length (Ls), and magnitude of load (Q). Results showed that smaller es, larger ABL, and higher Q resulted in larger wall deflection (δw), ground settlement (sv), and lateral earth pressure on the wall (σ′h). The increases in δw, sv, and σ′h diminished close to the greenfield case at es/Hex, Bs/Hex, and Ls/Hex of 1.2, 2.0, and 2.0, respectively, indicating the limit influence ranges of the components. The increases in δw, sv, and σ′h with increasing Bs/Hex were larger than with increasing Ls/Hex, indicating the directional effect of loading area. The effects of surface loading components were evaluated and quantified using a factor (η), based on the stiffness influence factor (IF) with a modification procedure to consider the effects of es, ABL, and Q. Case examples showed that the proposed method was valid and effective in predicting wall deflection and settlement for deep excavations with loads in nearby areas.

International Journal of Physical Modelling in GeotechnicsVol. 25(5)
United States Department of Housing and Urban Development (US), King Fahd University of Petroleum and Minerals (SA), Yonsei University (KR)
Openalex Percentile: Top 11%
Geotechnical Engineering and Analysis
2.61
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.