A decision support process is presented to accommodate selecting and scaling of earthquake motions as required for the time domain analysis of structures. Prequalified code-compatible suites of seismic motions are provided through a multi-criterion approach to satisfy prescribed reduced variability of selected Engineering Demand Parameters. Such a procedure, even though typically overlooked, is imperative to increase the reliability of the average response values, as required for the code-prescribed design verification of structures. Structure-related attributes such as the dynamic characteristics, as well as criteria related to the seismic motions variability and their compliance with a target spectrum are quantified through a newly introduced index, δsv-sc, tailored to prioritize motions suites for the response history analysis. An actual multi-story building is used to demonstrate the efficiency of the method, by being subjected to numerous suites of motions that were highly ranked according to both the proposed approach (δsv-sc) and the conventional index (δconv), already used by most existing code-based earthquake records selection and scaling procedures. The findings reveal the superiority of the herein proposed multi-criterion approach, particularly in terms of extensively reducing the intra-suite response variability of ground motions, while at the same time increasing the reliability of the design values. They also demonstrate that the new index greatly reduces the size of the suite of selected ground motions, for a given level of target reliability, with respect to the conventional methods.
Reliable selection of earthquake ground motions for performance-based design
2016-01-01
Katsanos , E & Sextos , A G 2016 , Reliable selection of earthquake ground motions for performance-based design . in Proceedings of the 1st International Conference on Natural Hazards and Infrastructure . Chania, Greece , 1st International Conference on Natural Hazards and Infrastructure , Chania , Greece , 28/06/2016 .
Article (Journal)
Electronic Resource
English
DDC: | 629 |
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