Abstract:IntroductionSeismic provisions in current building codes and standards include rules for design of structures using nonlinear response history analysis in some conditions. Due to the lack of recorded data for the design level earthquakes (which are usually rare events), it is critical to develop systematic methods and useful tools to select and modify from current ground motion databases to provide a group of earthquake motions that can realistically represent important aspects of the design motion controlling… Show more
“…How to choose the records are beyond the scope of this paper and for further detail the reader is referred to the paper [35]. Records were derived from PEER Strong Motion Database [36] and Iran Strong Motion Network Data Bank [37].…”
“…How to choose the records are beyond the scope of this paper and for further detail the reader is referred to the paper [35]. Records were derived from PEER Strong Motion Database [36] and Iran Strong Motion Network Data Bank [37].…”
“…However, the codes specify a number that should be used, though the number is different between the codes. Najafi et al [14] recommended selecting seven ground motions (based on the ASCE05-7 code recommendations) or eleven ground motions (based on the ATC recommendations). The codes UBC 1997, IBC 2000, FEMA-356, EC8, ASCE 2006 and ASCE 2007 recommend three or seven as a minimum number of ground motions to use the mean of the demand parameter in analysing the structure.…”
Section: Selection Of Earthquake Recordsmentioning
confidence: 99%
“…With regard to other parameters, such as event magnitude, peak ground acceleration, soil type and distance between the epicentre of the ground motion and the affected area, Najafi et al [14] summarised the process of ground motion selection based on these aspects. They then proposed approach of record selection (step-by-step), determined the primary list of records, chose a representative record for each earthquake event, selected the minimum number of records and explained and performed scaling of the ground motions.…”
Section: Selection Of Earthquake Recordsmentioning
One of the modern earthquake-resistant seismic design approaches is the performance-based earthquake engineering approach, such as the method of fragility assessment. There are several methods of the development of the fragility curves. This paper provides a short review of the development of fragility curves on the basis of incremental dynamic analysis (IDA) and highlights the main approaches for the selection of ground motions, the importance of the IDA and the performance levels.
“…Kayhan et al [8] proposed a harmony search based earthquake record selection and scaling solution in order to obtain ground motions which are compatible with the design spectrum. Najafi and Tehranizadeh [9] provided a very simple and practical procedure for selecting ground motions in addition to compare two common scaling methods based on the uniform hazard spec-trum (UHS) method and presents scale factors of the selected ground motions related with these methods. Macedo and Castro [10] described an advanced record selection and scaling utilizing Harmony search.…”
Performing time history dynamic analysis using site-specific ground motion records according to the increasing interest in the performance-based earthquake engineering has encouraged studies related to site-specific Ground Motion Record (GMR) selection methods. This study addresses a ground motion record selection approach based on three different multi-objective optimization algorithms including Multi-Objective Particle Swarm Optimization (MOPSO), Non-dominated Sorting Genetic Algorithm II (NSGA-II)and Pareto Envelope-based Selection Algorithm II (PESA-II). The method proposed in this paper selects records efficiently by matching dispersion and mean spectrum of the selected record set and target spectrums in a predefined period. Comparison between the results shows that NSGA II performs better than the other algorithms in the case of GMR selection.
Keywordsground motion record selection, multi-objective particle swarm optimization, non-dominated sorting genetic algorithm II, pareto envelope-based selection algorithm II
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