Abstract:Summary
When performing loss assessment of a geographically dispersed building portfolio, the response or loss (fragility or vulnerability) function of any given archetype building is typically considered to be a consistent property of the building itself. On the other hand, recent advances in record selection have shown that the seismic response of a structure is, in general, dependent on the nature of the hazard at the site of interest. This apparent contradiction begs the question: Are building fragility an… Show more
“…Future research could investigate different IMs that are more efficient by reducing the associated dispersion in the resulting demand parameters. Some potential candidates would be those that are not linked solely to the T 1 of the building, such as those recently proposed that define the IM as a function of the spectral demands in range of periods above and below the T 1 .…”
Summary
Assessment of the seismic performance of existing structures requires due consideration of both aleatory and epistemic sources of uncertainty; the former being typically associated with the randomness in ground motion records and the latter with the uncertainty in numerical modelling. Using a numerical modelling approach calibrated to available experimental test data collected from the literature, the uncertainty associated with different modelling parameters for existing reinforced concrete frames in Italy was quantified via an extensive numerical study. This was done to quantify the propagation of modelling parameter type uncertainty to the overall dispersion of the demand parameters typically used in seismic assessment, namely peak storey drift and peak floor accelerations. In addition, the impact of such modelling uncertainty on the median intensity and dispersion of the collapse fragility function was also examined. From the results of this study, empirical values of modelling parameter uncertainty were quantified with a view to being used in the assessment of existing reinforced concrete frames with masonry infill designed prior to the introduction of seismic design provisions in Italy during the 1970s. Comparing these empirical values to those available in the literature, it is seen how the fundamental behaviour of the frames differs from more modern frames with ductile detailing to the extent that values available in guidelines such as FEMA P58 cannot be reasonably adopted for these structural typologies.
“…Future research could investigate different IMs that are more efficient by reducing the associated dispersion in the resulting demand parameters. Some potential candidates would be those that are not linked solely to the T 1 of the building, such as those recently proposed that define the IM as a function of the spectral demands in range of periods above and below the T 1 .…”
Summary
Assessment of the seismic performance of existing structures requires due consideration of both aleatory and epistemic sources of uncertainty; the former being typically associated with the randomness in ground motion records and the latter with the uncertainty in numerical modelling. Using a numerical modelling approach calibrated to available experimental test data collected from the literature, the uncertainty associated with different modelling parameters for existing reinforced concrete frames in Italy was quantified via an extensive numerical study. This was done to quantify the propagation of modelling parameter type uncertainty to the overall dispersion of the demand parameters typically used in seismic assessment, namely peak storey drift and peak floor accelerations. In addition, the impact of such modelling uncertainty on the median intensity and dispersion of the collapse fragility function was also examined. From the results of this study, empirical values of modelling parameter uncertainty were quantified with a view to being used in the assessment of existing reinforced concrete frames with masonry infill designed prior to the introduction of seismic design provisions in Italy during the 1970s. Comparing these empirical values to those available in the literature, it is seen how the fundamental behaviour of the frames differs from more modern frames with ductile detailing to the extent that values available in guidelines such as FEMA P58 cannot be reasonably adopted for these structural typologies.
“…It should be noted that behind the choice of such high period, upper bounds for the AvgS a lie in the nonlinear‐elastic nature of the joystick model, which forces the system to remain on the low‐stiffness hardening branch during loading/unloading and reloading, in contrast to the elastic segments of unloading/reloading of an elastic‐hardening system. In general, the concept of combined S a values may also be deemed a strong candidate IM for the seismic risk evaluation of a group of tanks with varying geometry (and thus T i and T c ) . This is an interesting problem that requires thorough investigation and is expected to be covered in a future direction of our research.…”
Section: Intensity Measure Selectionmentioning
confidence: 99%
“…Studies by many researchers have shown that a wide variety of IM s defined according to the general frame of Equation can offer substantial efficiency and sufficiency for building structures …”
Section: Scalar or Vector?mentioning
confidence: 99%
“…In general, the concept of combined S a values may also be deemed a strong candidate IM for the seismic risk evaluation of a group of tanks with varying geometry (and thus T i and T c ). 22,28,29 This is an interesting problem that requires thorough investigation and is expected to be covered in a future direction of our research. Finally, the vectors of {PGA, S a (T c )} and {S a (T i ), S a (T c )} are considered as a potentially more accurate way of incorporating the effect of T c without compromising that of T i as done in a scalar combination.…”
Summary
A series of scalar and vector intensity measures is examined to determine their suitability within the seismic risk assessment of liquid storage tanks. Using a surrogate modelling approach on a squat tank that is examined under both anchored and unanchored support conditions, incremental dynamic analysis is adopted to generate the distributions of response parameters conditioned on each of the candidate intensity measures. Efficiency and sufficiency metrics are used in order to perform the intensity measure evaluation for individual failure modes, while a comparison in terms of mean annual frequency of exceedance is performed with respect to a damage state that is mutually governed by the impulsive and convective modes of the tank. The results reveal combinations of spectral acceleration ordinates as adequate predictors, among which the average spectral acceleration is singled out as the optimal solution. The sole exception is found for the sloshing‐controlled modes of failure, where mainly the convective period spectral acceleration is deemed adequate to represent the associated response due to their underlying linear relationship. A computationally efficient method in terms of site hazard analysis is finally proposed to serve in place of the vector‐valued intensity measures, providing a good match for the unanchored tank considered and a more conservative one for the corresponding anchored system.
“…If considerable difference exists among the different first mode periods, one should consider using two different definitions of AvgSa, one for low/mid-rise structures (shorter periods) and another for high-rise ones (longer periods), for better fidelity. In any case, ground motion records need to be selected for each definition of AvgSa at a given set of sites [12,13], while mean hazard curves are required for each definition of AvgSa and at each separate site.…”
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