An improved global zonation method for geotechnical parameters

Spatial prediction or interpolation of geotechnical parameters is a vital step in the designs or reliability analyses of geotechnical structures. Existing studies involving spatial predictions of geotechnical parameters ignore the distinction of spatial variabilities in zones along a horizontal dire...

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Bibliographic Details
Main Authors: Qi, Xiaohui, Liu, Huaxin
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/103421
http://hdl.handle.net/10220/48904
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author Qi, Xiaohui
Liu, Huaxin
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Qi, Xiaohui
Liu, Huaxin
author_sort Qi, Xiaohui
collection NTU
description Spatial prediction or interpolation of geotechnical parameters is a vital step in the designs or reliability analyses of geotechnical structures. Existing studies involving spatial predictions of geotechnical parameters ignore the distinction of spatial variabilities in zones along a horizontal direction, such as zones along a subway line. This study proposes a zonation method to differentiate the horizontal zones with different characteristics of spatial variabilities. Some uniaxial compressive strength and standard penetration test data are used to illustrate the proposed zonation method and the effect of zonation on the prediction accuracy. The results show that the proposed method is effective in distinguishing zones with different spatial variabilities and the improved zonation method facilitates more accurate predictions of unknown parametric values.
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spelling ntu-10356/1034212021-01-25T07:14:52Z An improved global zonation method for geotechnical parameters Qi, Xiaohui Liu, Huaxin School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering Zonation Spatial Prediction Spatial prediction or interpolation of geotechnical parameters is a vital step in the designs or reliability analyses of geotechnical structures. Existing studies involving spatial predictions of geotechnical parameters ignore the distinction of spatial variabilities in zones along a horizontal direction, such as zones along a subway line. This study proposes a zonation method to differentiate the horizontal zones with different characteristics of spatial variabilities. Some uniaxial compressive strength and standard penetration test data are used to illustrate the proposed zonation method and the effect of zonation on the prediction accuracy. The results show that the proposed method is effective in distinguishing zones with different spatial variabilities and the improved zonation method facilitates more accurate predictions of unknown parametric values. Accepted version 2019-06-21T05:33:38Z 2019-12-06T21:12:19Z 2019-06-21T05:33:38Z 2019-12-06T21:12:19Z 2018 2019 Journal Article Qi, X. & Liu, H. (2019). An improved global zonation method for geotechnical parameters. Engineering Geology, 248185-196. doi:10.1016/j.enggeo.2018.11.013 0013-7952 https://hdl.handle.net/10356/103421 http://hdl.handle.net/10220/48904 212289 10.1016/j.enggeo.2018.11.013 212289 212289 en Engineering Geology Engineering Geology © 2019 Elsevier. All rights reserved. This paper was published in Engineering Geology and is made available with permission of Elsevier. 35 p. application/pdf
spellingShingle DRNTU::Engineering::Civil engineering
Zonation
Spatial Prediction
Qi, Xiaohui
Liu, Huaxin
An improved global zonation method for geotechnical parameters
title An improved global zonation method for geotechnical parameters
title_full An improved global zonation method for geotechnical parameters
title_fullStr An improved global zonation method for geotechnical parameters
title_full_unstemmed An improved global zonation method for geotechnical parameters
title_short An improved global zonation method for geotechnical parameters
title_sort improved global zonation method for geotechnical parameters
topic DRNTU::Engineering::Civil engineering
Zonation
Spatial Prediction
url https://hdl.handle.net/10356/103421
http://hdl.handle.net/10220/48904
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