“…The probabilities f P exceeding different LSs at each level of the IM, are numerically computed for each combination of the structural properties (1280 equivalent structural systems) and then fitted through lognormal distributions [20]. In this phase, as for the softening systems and with the aim to consider both the collapse and not-collapse cases for each parameter combination at each IM level, the total probability theorem allows to estimate the probability exceeding a limit state at each intensity measure level considering the collapse number [69] as follows: (12) where N is the total number of analyses for the structural system at each IM level, and not collapse N is the number of numerical simulations without any collapse. The first term of Eq.…”
Section: Seismic Fragility Of Inelastic Softening Structures With Fpsmentioning
confidence: 99%
“…The first term of Eq. (12) defines the probability exceeding a LS corresponding to not-collapsing structural models [69]. The fragility curves are plotted in Fig.s 4-7 showing the exceedance probabilities f P versus the ground motion intensity.…”
Section: Seismic Fragility Of Inelastic Softening Structures With Fpsmentioning
“…The probabilities f P exceeding different LSs at each level of the IM, are numerically computed for each combination of the structural properties (1280 equivalent structural systems) and then fitted through lognormal distributions [20]. In this phase, as for the softening systems and with the aim to consider both the collapse and not-collapse cases for each parameter combination at each IM level, the total probability theorem allows to estimate the probability exceeding a limit state at each intensity measure level considering the collapse number [69] as follows: (12) where N is the total number of analyses for the structural system at each IM level, and not collapse N is the number of numerical simulations without any collapse. The first term of Eq.…”
Section: Seismic Fragility Of Inelastic Softening Structures With Fpsmentioning
confidence: 99%
“…The first term of Eq. (12) defines the probability exceeding a LS corresponding to not-collapsing structural models [69]. The fragility curves are plotted in Fig.s 4-7 showing the exceedance probabilities f P versus the ground motion intensity.…”
Section: Seismic Fragility Of Inelastic Softening Structures With Fpsmentioning
“…6). 2 In cases where the user wishes to include (additional) modelling uncertainty into the calculation, two alternative options are available in the relevant GUI panel. First option is to define a logarithmic standard deviation U for mean logarithmic capacity at one of the predefined limit states.…”
Section: Limit-states and Handling Additional Uncertaintymentioning
confidence: 99%
“…In the case of structure-specific studies, the trend is to rely increasingly on analytical derivation for these fragility functions. State-of-the-art in analytical fragility estimation is the use of non-linear dynamic analyses -for example, incremental dynamic analysis (IDA, [1]), the cloud method [2] or multi-stripe analysis [3]. However, despite the advantages of the analytical approaches over the damage probability matrices and empirical fragility curves employed earlier, their chief disadvantage remains the computational burden involved [4], which may include the selection and manipulation of hazard-consistent ground motion records.…”
“…Peak ground acceleration (PGA) has a long history and it is the most widely used IM by many researchers. Bazzurro et al (1998) proposed S a (T 1 ), the elastic spectral acceleration at period T 1 (the fundamental period or the 1st period of a structure, hereinafter the same), as an IM. Vamvatsikos and Cornell (2002) summarized and compared both IMs of PGA and S a (T 1 ).…”
Incremental Dynamic Analysis (IDA) is a parametric analysis method based on nonlinear dynamic analysis. It involves performing nonlinear dynamic analysis of the structural model to a suite of ground motion records, each scaled to multiple levels of intensity (as measured by Intensity Measure, IM), and recording the responses (measured by Engineering Demand Parameter, EDP). An IDA curve combines the intensity measure of a site-specific ground motion with structural responses from nonlinear dynamic analysis of the given structure. It is thus an unavoidable fact that the IDA curves display large record-to-record variability. This observed dispersion relies closely on the IM used. In other words, different IMs can lead to various results from the IDA method. The aim of this paper is to find a proper IM with an advantage in efficiency for IDA analysis. An area-based IM, A(T 1 ), which considers the period elongation due to nonlinear deformation was proposed. A 6-story reinforced concrete frame was modeled to compare the efficiency of the proposed IM with existing IMs. It is concluded that IMs which consider the higher modes effect fail to perform well due to the domination of the first mode of the frame. Taking nonlinearity development into consideration, A(T 1 ) is more efficient than other existing IMs. Further research will focus on the area-based IM involving higher modes of the structures.
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