CLC number: TU4; P64
On-line Access: 2020-06-10
Received: 2019-12-05
Revision Accepted: 2020-02-23
Crosschecked: 2020-05-13
Cited: 0
Clicked: 3145
Yi-xuan Sun, Lu-lu Zhang, Hao-qing Yang, Jie Zhang, Zi-jun Cao, Qi Cui, Jun-yi Yan. Characterization of spatial variability with observed responses: application of displacement back estimation[J]. Journal of Zhejiang University Science A, 2020, 21(6): 478-495.
@article{title="Characterization of spatial variability with observed responses: application of displacement back estimation",
author="Yi-xuan Sun, Lu-lu Zhang, Hao-qing Yang, Jie Zhang, Zi-jun Cao, Qi Cui, Jun-yi Yan",
journal="Journal of Zhejiang University Science A",
volume="21",
number="6",
pages="478-495",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1900558"
}
%0 Journal Article
%T Characterization of spatial variability with observed responses: application of displacement back estimation
%A Yi-xuan Sun
%A Lu-lu Zhang
%A Hao-qing Yang
%A Jie Zhang
%A Zi-jun Cao
%A Qi Cui
%A Jun-yi Yan
%J Journal of Zhejiang University SCIENCE A
%V 21
%N 6
%P 478-495
%@ 1673-565X
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1900558
TY - JOUR
T1 - Characterization of spatial variability with observed responses: application of displacement back estimation
A1 - Yi-xuan Sun
A1 - Lu-lu Zhang
A1 - Hao-qing Yang
A1 - Jie Zhang
A1 - Zi-jun Cao
A1 - Qi Cui
A1 - Jun-yi Yan
J0 - Journal of Zhejiang University Science A
VL - 21
IS - 6
SP - 478
EP - 495
%@ 1673-565X
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1900558
Abstract: soil spatial variability is difficult to evaluate due to insufficient test data. An alternative option is estimation by indirect methods such as inverse analysis. In this paper, two examples are presented to demonstrate the capability and accuracy of the probabilistic estimation method to characterize soil spatial variability with displacement responses. The first example is a soil slope subject to a surcharge load, in which the spatially varied field of the elastic modulus is estimated with displacements. The results show that estimations based on horizontal displacements were more accurate than those based on vertical displacements. The accuracy of the estimated field was substantially reduced by increasing variance of elastic modulus. However, the estimation was generally acceptable as the error was not more than 10%, even for the high variance case (COVE=1.5). The accuracy of estimation was also affected by the type of covariance function and the correlation length. When the correlation length decreased, the accuracy of estimation was reduced. The second example is a validation of laboratory model tests where a horizontal load was applied on a layered ground. The estimated thicknesses of soil layers were close to those in the real situation, which demonstrates the capacity of the estimation method.
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