Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Ground motion selection based on a multi‐intensity‐measure conditioning approach with emphasis on diverse earthquake contents
One of the main tasks in performance‐based seismic risk assessment and design of structures is the quantification of uncertainty due to earthquake ground motion (GM) records. Therefore, there is an optimal suite of GMs for each structure, selection of which can be an elusive task complicated by—among other things—the fact that structural behavior migrates into load‐path‐dependent inelastic regimes as damage begins to accumulate. To facilitate the selection of an optimal GM suite, the GM selection based on a generalized conditional single‐intensity‐measure approach will be enhanced herein to allow users to select GMs based on two and average of more‐than‐two conditioning intensity measures. To formulate this task, an intensity measure vector consisting of several intensity measures will be populated to represent earthquake's amplitude‐, duration‐based, and cumulative characteristics. The idea of two and average conditioning intensity measures will then be formulated by considering the correlation between the intensity measures in the vector with two and average of more‐than‐two intensity measures, simultaneously. The cross‐correlation between the intensity measures in the vector will also be considered to ultimately form a conditional multivariate distribution from which one could draw any number of realization samples to find matching earthquake records so that the hazard consistency concept can be fully enforced.
Ground motion selection based on a multi‐intensity‐measure conditioning approach with emphasis on diverse earthquake contents
One of the main tasks in performance‐based seismic risk assessment and design of structures is the quantification of uncertainty due to earthquake ground motion (GM) records. Therefore, there is an optimal suite of GMs for each structure, selection of which can be an elusive task complicated by—among other things—the fact that structural behavior migrates into load‐path‐dependent inelastic regimes as damage begins to accumulate. To facilitate the selection of an optimal GM suite, the GM selection based on a generalized conditional single‐intensity‐measure approach will be enhanced herein to allow users to select GMs based on two and average of more‐than‐two conditioning intensity measures. To formulate this task, an intensity measure vector consisting of several intensity measures will be populated to represent earthquake's amplitude‐, duration‐based, and cumulative characteristics. The idea of two and average conditioning intensity measures will then be formulated by considering the correlation between the intensity measures in the vector with two and average of more‐than‐two intensity measures, simultaneously. The cross‐correlation between the intensity measures in the vector will also be considered to ultimately form a conditional multivariate distribution from which one could draw any number of realization samples to find matching earthquake records so that the hazard consistency concept can be fully enforced.
Ground motion selection based on a multi‐intensity‐measure conditioning approach with emphasis on diverse earthquake contents
Ghotbi, Abdoul R. (Autor:in) / Taciroglu, Ertugrul (Autor:in)
Earthquake Engineering & Structural Dynamics ; 50 ; 1378-1394
01.04.2021
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A ground motion selection algorithm based on the generalized conditional intensity measure approach
| British Library Online Contents | 2012
A ground motion selection algorithm based on the generalized conditional intensity measure approach
| Online Contents | 2012