Cyclic Large Strain and Induced Pore Pressure Models for Saturated Clean Sands

Basit Öğe Kaydı
dc.contributor.authorCetin, K. Onder
dc.contributor.authorBilge, H. Tolga
dc.date.accessioned2020-03-26T18:24:36Z
dc.date.available2020-03-26T18:24:36Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractSemiempirical probabilistic models are described to assess cyclic large strain and induced excess pore-water pressure responses of fully saturated clean sands. For this purpose, available cyclic simple shear and triaxial tests were compiled and studied. The resulting r(u) versus gamma, and gamma versus N databases are composed of 101 and 84 cyclic test data, respectively. Key parameters of the proposed r(u) and gamma models are defined as critical shear strain, relative density, effective confining stress, and equivalent number of loading cycles. Consistent with the maximum likelihood methodology, model coefficients were estimated by maximizing the likelihood function. For comparison purposes, the compiled database was again used to evaluate the performance of existing r(u) models. Both for comparison and calibration purposes, for each framework, two separate sets of limit-state models were used: model implemented with (1) the original and (2) the updated model coefficients. The model performances are assessed by simple statistics (i.e., mean and standard deviation) of residuals. It is concluded that existing models produce inconsistently biased predictions that vary in the range of 2.5 to 70%. The successes of the proposed and existing models are also assessed for the validation database composed of additional 10 cyclic test results. In addition to (1) repeated improved predictions, (2) differentiating contractive or dilative cyclic soil responses, and (3) incorporation of strain-dependent modulus degradation effects, the main advantage of the proposed methodology is the probabilistic nature of model predictions, which enables the incorporation of the model uncertainty into pore pressure generation predictions. DOI: 10.1061/(ASCE)GT.1943-5606.0000631. (C) 2012 American Society of Civil Engineers.en_US
dc.identifier.doi10.1061/(ASCE)GT.1943-5606.0000631en_US
dc.identifier.endpage323en_US
dc.identifier.issn1090-0241en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage309en_US
dc.identifier.urihttps://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000631
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27874
dc.identifier.volume138en_US
dc.identifier.wosWOS:000302212100007en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherASCE-AMER SOC CIVIL ENGINEERSen_US
dc.relation.ispartofJOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectShear strainen_US
dc.subjectPore-water pressureen_US
dc.subjectCyclic responseen_US
dc.subjectCyclic triaxial testsen_US
dc.subjectCyclic simple shear testsen_US
dc.titleCyclic Large Strain and Induced Pore Pressure Models for Saturated Clean Sandsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu