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Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman

The identification of layer boundaries and demarcating the soil profile into homogeneous layers are often much more complicated than one expected when dealing with highly variable complex natural material. The quantitative approaches reported in geotechnical literatures are limited, varies and mostl...

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Main Authors: Lim, Jit Kheng, Ng, Set Foong, Osman, Muhammad Khusairi
Format: Research Reports
Language:English
Published: 2009
Subjects:
TA Engineering. Civil engineering
Engineering geology. Rock mechanics. Soil mechanics.
Online Access:https://ir.uitm.edu.my/id/eprint/39955/1/39955.PDF
https://ir.uitm.edu.my/id/eprint/39955/
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spelling my.uitm.ir.399552023-01-16T04:47:11Z https://ir.uitm.edu.my/id/eprint/39955/ Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman Lim, Jit Kheng Ng, Set Foong Osman, Muhammad Khusairi TA Engineering. Civil engineering Engineering geology. Rock mechanics. Soil mechanics. The identification of layer boundaries and demarcating the soil profile into homogeneous layers are often much more complicated than one expected when dealing with highly variable complex natural material. The quantitative approaches reported in geotechnical literatures are limited, varies and mostly restricted to case or project specific basis. In this study, the performance of two statistical methods, namely intraclass correlation coefficient (RI) and Bartlett test statistic in conjunction with various suggested window widths are investigated using three fairly different CPT soundings obtained from the database at National Geotechnical Experimental Sites. RI appears to be a more powerful, robust and persistent tool and the corresponding suitable window width was proven as a function of average distance between boundaries which could be determined from autocorrelation analysis. Autocorrelation analysis is relatively complex and time-consuming, thus a simple approximate method is proposed to estimate the suitable window width using the concept of average distance between ‘mean-crossings’. The approach was exploited and substantiated as a simple, quick and accurate estimator in making the first approximation on suitable window width for boundaries identification exercise. 2009-06 Research Reports NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/39955/1/39955.PDF Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman. (2009) [Research Reports] <http://terminalib.uitm.edu.my/39955.pdf> (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TA Engineering. Civil engineering
Engineering geology. Rock mechanics. Soil mechanics.
spellingShingle TA Engineering. Civil engineering
Engineering geology. Rock mechanics. Soil mechanics.
Lim, Jit Kheng
Ng, Set Foong
Osman, Muhammad Khusairi
Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
description The identification of layer boundaries and demarcating the soil profile into homogeneous layers are often much more complicated than one expected when dealing with highly variable complex natural material. The quantitative approaches reported in geotechnical literatures are limited, varies and mostly restricted to case or project specific basis. In this study, the performance of two statistical methods, namely intraclass correlation coefficient (RI) and Bartlett test statistic in conjunction with various suggested window widths are investigated using three fairly different CPT soundings obtained from the database at National Geotechnical Experimental Sites. RI appears to be a more powerful, robust and persistent tool and the corresponding suitable window width was proven as a function of average distance between boundaries which could be determined from autocorrelation analysis. Autocorrelation analysis is relatively complex and time-consuming, thus a simple approximate method is proposed to estimate the suitable window width using the concept of average distance between ‘mean-crossings’. The approach was exploited and substantiated as a simple, quick and accurate estimator in making the first approximation on suitable window width for boundaries identification exercise.
format Research Reports
author Lim, Jit Kheng
Ng, Set Foong
Osman, Muhammad Khusairi
author_facet Lim, Jit Kheng
Ng, Set Foong
Osman, Muhammad Khusairi
author_sort Lim, Jit Kheng
title Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
title_short Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
title_full Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
title_fullStr Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
title_full_unstemmed Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman
title_sort geostatistical analysis of spatial variability of a clay deposit / lim jit kheng, ng set foong and muhammad khusairi osman
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/39955/1/39955.PDF
https://ir.uitm.edu.my/id/eprint/39955/
_version_ 1755875986004508672
score 13.211869

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