Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103472
Title: Estimation of autocorrelation distances for in-situ geotechnical properties using limited data
Authors: Qi, Xiao-Hui
Liu, Hua-Xin
Keywords: DRNTU::Engineering::Civil engineering
Maximum Likelihood Estimator
Limited Data
Issue Date: 2019
Source: Qi, X.-H., & Liu, H.-X. (2019). Estimation of autocorrelation distances for in-situ geotechnical properties using limited data. Structural Safety, 79, 26-38. doi:10.1016/j.strusafe.2019.02.003
Journal: Structural Safety
Abstract: A simultaneous estimation of the vertical and horizontal autocorrelation distances (ACDs) for geotechnical properties under the condition of limited data (fewer than one hundred data points) is not well studied. This paper evaluates the performance of the maximum likelihood estimator (MLE) in estimating autocorrelation distances using some simulated data. The effect of the autocorrelation structure on the accuracy of ACD estimation is also investigated. It is found that MLE may produce highly biased estimations if limited data are available. Hence, a clustered borehole layout scheme and a resampling method are proposed to improve the estimation accuracy. The methods are illustrated using some simulated data, standard penetration test (SPT) data and cone penetration test (CPT) data. It is found that the clustered borehole layout scheme and resampling method yield more accurate estimations of ACDs in analyses using both the simulated data and real data.
URI: https://hdl.handle.net/10356/103472
http://hdl.handle.net/10220/48076
ISSN: 0167-4730
DOI: 10.1016/j.strusafe.2019.02.003
212290
Rights: © 2019 Elsevier. All rights reserved. This paper was published in Structural Safety and is made available with permission of Elsevier.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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