Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils

For deep excavations in residual soils that are underlain by highly fissured or fractured rocks, it is common to observe the drawdown of the groundwater table behind the excavation, resulting in seepage-induced ground settlement. In this study, finite element analyses are firstly performed to assess...

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Main Authors: Goh, Anthony Teck Chee, Zhang, R. H., Wang, W., Wang, L., Liu, H. L., Zhang, W. G.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/149204
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1492042021-05-23T15:35:26Z Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils Goh, Anthony Teck Chee Zhang, R. H. Wang, W. Wang, L. Liu, H. L. Zhang, W. G. School of Civil and Environmental Engineering Engineering::Civil engineering Excavation Residual Soils For deep excavations in residual soils that are underlain by highly fissured or fractured rocks, it is common to observe the drawdown of the groundwater table behind the excavation, resulting in seepage-induced ground settlement. In this study, finite element analyses are firstly performed to assess the critical parameters that influence the ground settlement performance in residual soil deposits subjected to groundwater drawdown. The critical parameters that influence the ground settlement performance were identified as the excavation width, the excavation depth, the depth of groundwater drawdown, the thickness of the residual soil, the average SPT N value of the residual soil, the location of the moderately weathered rock, and the wall system stiffness. Subsequently, an artificial neural network (ANN) model was developed to provide estimates of the maximum ground settlement. Validation of the performance of ANN model was carried out using additional data derived from finite element analyses as well as with measured data from a number of excavation sites. 60 Accepted version 2021-05-23T15:35:25Z 2021-05-23T15:35:25Z 2019 Journal Article Goh, A. T. C., Zhang, R. H., Wang, W., Wang, L., Liu, H. L. & Zhang, W. G. (2019). Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils. Acta Geotechnica, 15(5), 1259-1272. https://dx.doi.org/10.1007/s11440-019-00843-5 1861-1125 0000-0001-6051-1388 https://hdl.handle.net/10356/149204 10.1007/s11440-019-00843-5 2-s2.0-85068183954 5 15 1259 1272 en Acta Geotechnica © 2019 Springer-Verlag Berlin Heidelberg. This is a post-peer-review, pre-copyedit version of an article published in Acta Geotechnica. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11440-019-00843-5 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Excavation
Residual Soils
spellingShingle Engineering::Civil engineering
Excavation
Residual Soils
Goh, Anthony Teck Chee
Zhang, R. H.
Wang, W.
Wang, L.
Liu, H. L.
Zhang, W. G.
Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
description For deep excavations in residual soils that are underlain by highly fissured or fractured rocks, it is common to observe the drawdown of the groundwater table behind the excavation, resulting in seepage-induced ground settlement. In this study, finite element analyses are firstly performed to assess the critical parameters that influence the ground settlement performance in residual soil deposits subjected to groundwater drawdown. The critical parameters that influence the ground settlement performance were identified as the excavation width, the excavation depth, the depth of groundwater drawdown, the thickness of the residual soil, the average SPT N value of the residual soil, the location of the moderately weathered rock, and the wall system stiffness. Subsequently, an artificial neural network (ANN) model was developed to provide estimates of the maximum ground settlement. Validation of the performance of ANN model was carried out using additional data derived from finite element analyses as well as with measured data from a number of excavation sites. 60
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Goh, Anthony Teck Chee
Zhang, R. H.
Wang, W.
Wang, L.
Liu, H. L.
Zhang, W. G.
format Article
author Goh, Anthony Teck Chee
Zhang, R. H.
Wang, W.
Wang, L.
Liu, H. L.
Zhang, W. G.
author_sort Goh, Anthony Teck Chee
title Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
title_short Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
title_full Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
title_fullStr Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
title_full_unstemmed Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
title_sort numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
publishDate 2021
url https://hdl.handle.net/10356/149204
_version_ 1701270460589670400