dc.contributor.authorQi, Xiao-Hui
dc.contributor.authorLiu, Hua-Xin
dc.date.accessioned2019-04-26T02:32:44Z
dc.date.available2019-04-26T02:32:44Z
dc.date.copyright2019
dc.date.issued2019
dc.identifier.citationQi, X.-H., & Liu, H.-X. (2019). Estimation of autocorrelation distances for in-situ geotechnical properties using limited data. Structural Safety, 7926-38. doi:10.1016/j.strusafe.2019.02.003en_US
dc.identifier.issn0167-4730en_US
dc.identifier.urihttp://hdl.handle.net/10220/48076
dc.description.abstractA 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.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.format.extent38 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesStructural Safetyen_US
dc.rights© 2019 Elsevier. All rights reserved. This paper was published in Structural Safety and is made available with permission of Elsevier.en_US
dc.subjectLimited Dataen_US
dc.subjectMaximum Likelihood Estimatoren_US
dc.subjectDRNTU::Engineering::Civil engineeringen_US
dc.titleEstimation of autocorrelation distances for in-situ geotechnical properties using limited dataen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doihttps://doi.org/10.1016/j.strusafe.2019.02.003
dc.description.versionAccepted versionen_US
dc.identifier.rims212290


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