Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/19374
DC FieldValueLanguage
dc.contributor.authorChristodoulou, Panagiotis-
dc.contributor.authorPantelidis, Lysandros-
dc.contributor.authorGravanis, Elias-
dc.date.accessioned2020-11-12T08:12:09Z-
dc.date.available2020-11-12T08:12:09Z-
dc.date.issued2020-
dc.identifier.citationArchives of Computational Methods in Engineering, 2020en_US
dc.identifier.issn1886-1784-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/19374-
dc.description.abstractDue to geological processes, soil properties vary in vertical and horizontal directions which is defined as inherent uncertainty of soil. This type of uncertainty may seriously affect the reliability of, among others, deep and shallow foundations (and in turn, of structures, such as, buildings and bridges) and earth retention and shoring systems. The inherent uncertainty of soil properties is modelled as a random field, which is described by the mean, standard deviation and scale of fluctuation (also known as correlation length, θ) of soil properties. In this paper, the effectiveness of eight methods-of-moments for estimating the correlation length θ is investigated. This is done by generating samples of one-dimensional random fields for pre-defined values of the correlation length, which is then estimated by the different methods. For each method, the influence of the sampling domain length D and sampling interval dx on the estimation of θ were investigated, and the results are quantified in the form of errors over the parameter space, defined by the dimensionless ratios D/θ and θ/dx. Through the present analysis, one is able to assess the reliability of θ estimations obtained in practice, by mapping the conditions of any given experiment i.e., sampling domain, interval and estimated correlation length, onto the parameter space. The expected error associated with each method used is also quantified. Through this analysis a comparative assessment of the methods is also obtained.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environmenten_US
dc.relation.ispartofArchives of Computational Methods in Engineeringen_US
dc.rights© Springer Natureen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSlope Stabilityen_US
dc.subjectCone Penetration Testen_US
dc.subjectSoil Heterogeneityen_US
dc.titleA Comparative Assessment of the Methods-of-Moments for Estimating the Correlation Length of One-Dimensional Random Fieldsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/s11831-020-09408-2en_US
cut.common.academicyear2019-2020en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-5979-6937-
crisitem.author.orcid0000-0002-5331-6661-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn1886-1784-
crisitem.journal.publisherSpringer Nature-
crisitem.project.funderEuropean Commission-
crisitem.project.grantnoH2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2-
crisitem.project.fundingProgramH2020 Spreading Excellence, Widening Participation, Science with and for Society-
crisitem.project.openAireinfo:eu-repo/grantAgreeent/EC/H2020/857510-
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence
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