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Détail de l'auteur
Auteur R. E. S. Moss
Documents disponibles écrits par cet auteur
Affiner la rechercheShear-wave velocity–based probabilistic and deterministic assessment of seismic soil liquefaction potential / R. Kayen in Journal of geotechnical and geoenvironmental engineering, Vol. 139 N° 3 (Mars 2013)
[article]
in Journal of geotechnical and geoenvironmental engineering > Vol. 139 N° 3 (Mars 2013) . - pp. 407-419
Titre : Shear-wave velocity–based probabilistic and deterministic assessment of seismic soil liquefaction potential Type de document : texte imprimé Auteurs : R. Kayen, Auteur ; R. E. S. Moss, Auteur ; E. M. Thompson, Auteur Année de publication : 2013 Article en page(s) : pp. 407-419 Note générale : geotechnique Langues : Anglais (eng) Mots-clés : earthquakes; soil liquefaction; shear waves; wave velocity; sand (soil type); seismic effects; databases Résumé : Shear-wave velocity (Vs) offers a means to determine the seismic resistance of soil to liquefaction by a fundamental soil property. This paper presents the results of an 11-year international project to gather new Vs site data and develop probabilistic correlations for seismic soil liquefaction occurrence. Toward that objective, shear-wave velocity test sites were identified, and measurements made for 301 new liquefaction field case histories in China, Japan, Taiwan, Greece, and the United States over a decade. The majority of these new case histories reoccupy those previously investigated by penetration testing. These new data are combined with previously published case histories to build a global catalog of 422 case histories of Vs liquefaction performance. Bayesian regression and structural reliability methods facilitate a probabilistic treatment of the Vs catalog for performance-based engineering applications. Where possible, uncertainties of the variables comprising both the seismic demand and the soil capacity were estimated and included in the analysis, resulting in greatly reduced overall model uncertainty relative to previous studies. The presented data set and probabilistic analysis also help resolve the ancillary issues of adjustment for soil fines content and magnitude scaling factors. En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29GT.1943-5606.0000743 [article] Shear-wave velocity–based probabilistic and deterministic assessment of seismic soil liquefaction potential [texte imprimé] / R. Kayen, Auteur ; R. E. S. Moss, Auteur ; E. M. Thompson, Auteur . - 2013 . - pp. 407-419.
geotechnique
Langues : Anglais (eng)
in Journal of geotechnical and geoenvironmental engineering > Vol. 139 N° 3 (Mars 2013) . - pp. 407-419
Mots-clés : earthquakes; soil liquefaction; shear waves; wave velocity; sand (soil type); seismic effects; databases Résumé : Shear-wave velocity (Vs) offers a means to determine the seismic resistance of soil to liquefaction by a fundamental soil property. This paper presents the results of an 11-year international project to gather new Vs site data and develop probabilistic correlations for seismic soil liquefaction occurrence. Toward that objective, shear-wave velocity test sites were identified, and measurements made for 301 new liquefaction field case histories in China, Japan, Taiwan, Greece, and the United States over a decade. The majority of these new case histories reoccupy those previously investigated by penetration testing. These new data are combined with previously published case histories to build a global catalog of 422 case histories of Vs liquefaction performance. Bayesian regression and structural reliability methods facilitate a probabilistic treatment of the Vs catalog for performance-based engineering applications. Where possible, uncertainties of the variables comprising both the seismic demand and the soil capacity were estimated and included in the analysis, resulting in greatly reduced overall model uncertainty relative to previous studies. The presented data set and probabilistic analysis also help resolve the ancillary issues of adjustment for soil fines content and magnitude scaling factors. En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29GT.1943-5606.0000743