Parametric sensitivity study of deep excavation in Singapore old alluvium formation
Deep excavation supported by vertical retaining walls together with strutting system is commonly used in Singapore for the construction of underground infrastructure. In this paper, a series of numerical scenarios simulated by PLAXIS software are carried out to study the influence of different desig...
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sg-ntu-dr.10356-1614892022-09-06T01:16:39Z Parametric sensitivity study of deep excavation in Singapore old alluvium formation Wu, Lanting Sun, Jianping Tong, Yuqiang School of Civil and Environmental Engineering Engineering::Civil engineering Deep Excavation Retaining System Deep excavation supported by vertical retaining walls together with strutting system is commonly used in Singapore for the construction of underground infrastructure. In this paper, a series of numerical scenarios simulated by PLAXIS software are carried out to study the influence of different design parameters such as pre-auger loosening effect, the embedded depth of retaining wall into the stiff soil layer, and the elastic modulus of the ground improvement layer on excavation design especially on strut force, retaining wall deflection, and bending moment. The results show that there is high risk if only a single set of parameters are used as input to predict the performance of the retaining system. Sensitivity analysis shall be carried out to evaluate the effects of these parameter variations within a reasonable range on strut force, retaining wall deflection, and bending moment. Published version 2022-09-06T01:16:39Z 2022-09-06T01:16:39Z 2021 Journal Article Wu, L., Sun, J. & Tong, Y. (2021). Parametric sensitivity study of deep excavation in Singapore old alluvium formation. Advances in Civil Engineering, 2021, 1-11. https://dx.doi.org/10.1155/2021/8644288 1687-8086 https://hdl.handle.net/10356/161489 10.1155/2021/8644288 2-s2.0-85122763919 2021 1 11 en Advances in Civil Engineering © 2021 Lanting Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf |
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Engineering::Civil engineering Deep Excavation Retaining System Wu, Lanting Sun, Jianping Tong, Yuqiang Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
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Deep excavation supported by vertical retaining walls together with strutting system is commonly used in Singapore for the construction of underground infrastructure. In this paper, a series of numerical scenarios simulated by PLAXIS software are carried out to study the influence of different design parameters such as pre-auger loosening effect, the embedded depth of retaining wall into the stiff soil layer, and the elastic modulus of the ground improvement layer on excavation design especially on strut force, retaining wall deflection, and bending moment. The results show that there is high risk if only a single set of parameters are used as input to predict the performance of the retaining system. Sensitivity analysis shall be carried out to evaluate the effects of these parameter variations within a reasonable range on strut force, retaining wall deflection, and bending moment. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Wu, Lanting Sun, Jianping Tong, Yuqiang |
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Article |
author |
Wu, Lanting Sun, Jianping Tong, Yuqiang |
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Wu, Lanting |
title |
Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
title_short |
Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
title_full |
Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
title_fullStr |
Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
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Parametric sensitivity study of deep excavation in Singapore old alluvium formation |
title_sort |
parametric sensitivity study of deep excavation in singapore old alluvium formation |
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2022 |
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https://hdl.handle.net/10356/161489 |
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