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dc.contributor.author
Daziano, María Alejandra
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dc.contributor.author
Perez Velazquez, Gustavo
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dc.date.available
2018-12-28T13:27:00Z
dc.date.issued
2017-06
dc.identifier.citation
Daziano, María Alejandra; Perez Velazquez, Gustavo; Intensity Measure Selection for Dynamic Analysis of Earth Dams; Oklahoma State University; Electronic Journal of Geotechnical Engineering; 22; 9; 6-2017; 3751-3771
dc.identifier.issn
1089-3032
dc.identifier.uri
http://hdl.handle.net/11336/67134
dc.description.abstract
A comprehensive study has been developed to determine the optimal Intensity Measure to be implemented in vulnerability and quantitative risk evaluation of earth dams. Newmark analyses and nonlinear time-history evaluations of a typical earth-core rockfill dam section were performed under a total of 23 near-field ground motion records. The comparison between the 19 IMs proposed was madeon five properties: efficiency, practicality, proficiency, sufficiency and hazard computability.Traditionally, peak ground acceleration has been used as the link between seismic hazard and structural analysis. However, results revealed that spectral parameters as velocity spectrum intensity and Housner intensity showed the best correlation with Newmark displacements, followed by the root mean square of acceleration. In general, velocity-related parameters and in particular, cumulative absolute velocity and sustained maximum velocity are the most appropriate IM regarding crest settlement.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oklahoma State University
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Seismic Engineering
dc.subject
Dynamics
dc.subject
Earth Dams
dc.subject.classification
Otras Ingeniería Civil
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dc.subject.classification
Ingeniería Civil
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Intensity Measure Selection for Dynamic Analysis of Earth Dams
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-12-19T14:42:12Z
dc.journal.volume
22
dc.journal.number
9
dc.journal.pagination
3751-3771
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Oklahoma
dc.description.fil
Fil: Daziano, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Instituto de Estructuras ; Argentina
dc.description.fil
Fil: Perez Velazquez, Gustavo. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Instituto de Estructuras ; Argentina
dc.journal.title
Electronic Journal of Geotechnical Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ejge.com/2017/Ppr2017.0271ma.pdf
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