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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Probabilistic performance-based optimum seismic design with application to the California High-speed Rail prototype bridge
Seismic isolation provides a potentially promising strategy to mitigate the seismic risk to California High-speed Rail (CHSR) bridge structures. Notably, a proper selection of the seismic isolator properties must be carried out to strike a trade-off between the beneficial and detrimental effects of seismic isolation while accounting for the uncertainties associated with the seismic loading. Building upon a three-dimensional detailed nonlinear finite element (FE) model of a California Highspeed Rail (CHSR) prototype bridge, including soil-foundation-structure interaction (modeled using the dynamic p-y approach) and rail-structure interaction, a comprehensive parametric probabilistic seismic demand hazard analysis was performed for this bridge located at San Jose, California. A proposed next-generation approach, i.e., Probabilistic Performance-based Optimum Seismic Design (PPOSD) framework, is applied to the CHSR Prototype Bridge, within the context of the Performance-Based Earthquake Engineering (PBEE) methodology developed at the Pacific Earthquake Engineering Research (PEER) center. Through the application of the PPOSD framework to the CHSR Prototype Bridge, a well-posed optimization problem is proposed for the optimal seismic isolator parameters and solved through grid-based brute-force approach. ; Non UBC ; Unreviewed ; This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver. ; Faculty ; Researcher
Probabilistic performance-based optimum seismic design with application to the California High-speed Rail prototype bridge
Seismic isolation provides a potentially promising strategy to mitigate the seismic risk to California High-speed Rail (CHSR) bridge structures. Notably, a proper selection of the seismic isolator properties must be carried out to strike a trade-off between the beneficial and detrimental effects of seismic isolation while accounting for the uncertainties associated with the seismic loading. Building upon a three-dimensional detailed nonlinear finite element (FE) model of a California Highspeed Rail (CHSR) prototype bridge, including soil-foundation-structure interaction (modeled using the dynamic p-y approach) and rail-structure interaction, a comprehensive parametric probabilistic seismic demand hazard analysis was performed for this bridge located at San Jose, California. A proposed next-generation approach, i.e., Probabilistic Performance-based Optimum Seismic Design (PPOSD) framework, is applied to the CHSR Prototype Bridge, within the context of the Performance-Based Earthquake Engineering (PBEE) methodology developed at the Pacific Earthquake Engineering Research (PEER) center. Through the application of the PPOSD framework to the CHSR Prototype Bridge, a well-posed optimization problem is proposed for the optimal seismic isolator parameters and solved through grid-based brute-force approach. ; Non UBC ; Unreviewed ; This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver. ; Faculty ; Researcher
Probabilistic performance-based optimum seismic design with application to the California High-speed Rail prototype bridge
01.07.2015
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
500
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