Robust identification and characterization of thin soil layers in cone penetration data by piecewise layer optimization

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dc.contributor.authorCooper, Jonen
dc.contributor.authorMartin, Eileen R.en
dc.contributor.authorYost, Kaleighen
dc.contributor.authorYerro Colom, Albaen
dc.contributor.authorGreen, Russellen
dc.contributor.departmentMathematicsen
dc.contributor.editorZhao, Jidongen
dc.date.accessioned2021-08-11T20:15:04Zen
dc.date.available2021-08-11T20:15:04Zen
dc.date.issued2021-08-11en
dc.date.updated2021-08-11T20:15:01Zen
dc.description.abstractCone penetration testing (CPT) is a preferred method for characterizing soil profiles for evaluating seismic liquefaction triggering potential. However, CPT has limitations in characterizing highly stratified profiles because the measured tip resistance ($q_c$) of the cone penetrometer is influenced by the properties of the soils above and below the tip. This results in measured $q_c$ values that appear ``blurred" at sediment layer boundaries, inhibiting our ability to characterize thinly layered strata that are potentially liquefiable. Removing this ``blur" has been previously posed as a continuous optimization problem, but in some cases this methodology has been less efficacious than desired. Thus, we propose a new approach to determine the corrected $q_c$ values (i.e. values that would be measured in a stratum absent of thin-layer effects) from measured values. This new numerical optimization algorithm searches for soil profiles with a finite number of layers which can automatically be added or removed as needed. This algorithm is provided as open-source MATLAB software. It yields corrected $q_c$ values when applied to computer-simulated and calibration chamber CPT data. We compare two versions of the new algorithm that numerically optimize different functions, one of which uses a logarithm to refine fine-scale details, but which requires longer calculation times to yield improved corrected $q_c$ profiles.en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.issn0266-352Xen
dc.identifier.orcidMartin, Eileen [0000-0002-3420-4971]en
dc.identifier.urihttp://hdl.handle.net/10919/104628en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectCone Penetration Testen
dc.subjectData Qualityen
dc.subjectInverse Problemsen
dc.subject0905 Civil Engineeringen
dc.subject0914 Resources Engineering and Extractive Metallurgyen
dc.subject0915 Interdisciplinary Engineeringen
dc.subjectGeological & Geomatics Engineeringen
dc.titleRobust identification and characterization of thin soil layers in cone penetration data by piecewise layer optimizationen
dc.title.serialComputers and Geotechnicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2021-08-10en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/Mathematicsen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen

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