Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/123322
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Type: Journal article
Title: Identification of sample path smoothness in soil spatial variability
Author: Ching, J.
Phoon, K.K.
Stuedlein, A.W.
Jaksa, M.
Citation: Structural Safety, 2019; 81:101870-1-101870-13
Publisher: Elsevier
Issue Date: 2019
ISSN: 0167-4730
1879-3355
Statement of
Responsibility: 
Jianye Ching, Kok-Kwang Phoon, Armin W. Stuedlein, Mark Jaksa
Abstract: Recent studies have shown that the sample path smoothness in soil spatial variability can have a significant effect on the failure probability of geotechnical problems. The purpose of the current study is to propose a procedure that can identify the sample path smoothness based on site investigation data. It is shown that two factors determine whether or not the sample path smoothness can be identified: the type of auto-correlation function (ACF) model and the parameter estimation method. In order to identify the sample path smoothness, a non-classical two-parameter ACF model, such as the powered exponential (PE) model and Whittle-Matérn (WM) model, must be adopted together with the maximum likelihood (ML) method. The method of moments (MM) is incapable of identifying the sample path smoothness regardless of the ACF model type, classical or otherwise, although it is effective in identifying the scale of fluctuation (SOF). Between the two non-classical ACF models, the WM model is more flexible because it covers a wider range of sample path smoothness than the PE model. Neither the PE model nor the WM model is able to model the “hole effect” (non-monotonic auto-correlation). The development of a sufficiently flexible non-classical model that can simultaneously identify SOF, sample path smoothness, and hole effect remains an open research question.
Keywords: Spatial variability; auto-correlation; scale of fluctuation; sample path smoothness; Whittle-Matérn model; powered exponential model
Rights: © 2019 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.strusafe.2019.101870
Appears in Collections:Aurora harvest 8
Civil and Environmental Engineering publications

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