Applications of Chapman-Richards model to geotechnical engineering

In this paper, the Chapman-Richards model is adapted to best fit three types of nonlinear curves that are generally encountered in geotechnical engineering practices, i.e. the degree of consolidation versus time factor curves in one-dimensional consolidation and plane strain consolidation under stri...

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Main Authors: Nie, Wen, Guo, W.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/142490
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1424902020-06-23T01:38:31Z Applications of Chapman-Richards model to geotechnical engineering Nie, Wen Guo, W. School of Civil and Environmental Engineering Engineering::Civil engineering Mathematical Modeling Chapman-Richards Model In this paper, the Chapman-Richards model is adapted to best fit three types of nonlinear curves that are generally encountered in geotechnical engineering practices, i.e. the degree of consolidation versus time factor curves in one-dimensional consolidation and plane strain consolidation under strip loading, the compressibility and permeability curves of soft clay, and the geometry parameters of geosynthetic tube versus pumping pressure curves. The methods of determining unknown parameters using the Chapman-Richards model are fully demonstrated. It is found that the Chapman-Richards model has its range of applications in geotechnical engineering and may provide unique insights into the complexity of geotechnical problems. Published version 2020-06-23T01:38:31Z 2020-06-23T01:38:31Z 2019 Journal Article Nie, W., & Guo, W. (2019). Applications of Chapman-Richards model to geotechnical engineering. Journal of Rock Mechanics and Geotechnical Engineering, 11(6), 1286-1292. doi:10.1016/j.jrmge.2018.12.019 1674-7755 https://hdl.handle.net/10356/142490 10.1016/j.jrmge.2018.12.019 2-s2.0-85074398625 6 11 1286 1292 en Journal of Rock Mechanics and Geotechnical Engineering © 2019 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Civil engineering
Mathematical Modeling
Chapman-Richards Model
spellingShingle Engineering::Civil engineering
Mathematical Modeling
Chapman-Richards Model
Nie, Wen
Guo, W.
Applications of Chapman-Richards model to geotechnical engineering
description In this paper, the Chapman-Richards model is adapted to best fit three types of nonlinear curves that are generally encountered in geotechnical engineering practices, i.e. the degree of consolidation versus time factor curves in one-dimensional consolidation and plane strain consolidation under strip loading, the compressibility and permeability curves of soft clay, and the geometry parameters of geosynthetic tube versus pumping pressure curves. The methods of determining unknown parameters using the Chapman-Richards model are fully demonstrated. It is found that the Chapman-Richards model has its range of applications in geotechnical engineering and may provide unique insights into the complexity of geotechnical problems.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Nie, Wen
Guo, W.
format Article
author Nie, Wen
Guo, W.
author_sort Nie, Wen
title Applications of Chapman-Richards model to geotechnical engineering
title_short Applications of Chapman-Richards model to geotechnical engineering
title_full Applications of Chapman-Richards model to geotechnical engineering
title_fullStr Applications of Chapman-Richards model to geotechnical engineering
title_full_unstemmed Applications of Chapman-Richards model to geotechnical engineering
title_sort applications of chapman-richards model to geotechnical engineering
publishDate 2020
url https://hdl.handle.net/10356/142490
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