Modelling Uncertainty in Existing Italian Rc Frames

O’Reilly, Gerard J.; Sullivan, Timothy J.

doi:10.7712/120117.5445.16952

Cited by 5 publications

(2 citation statements)

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“…The methodology adopted to quantify modelling uncertainty is then outlined and applied to various GLD RC frame typologies so as to quantify empirical values of dispersion for both the collapse fragility and demand parameters, where the intensity measure employed for the collapse fragility was the spectral acceleration at the first‐mode period of vibration of the structure, Sa(T 1 ) . This was done using the statistical information for the uncertainty in the different modelling parameters established during the recently proposed numerical model calibration for GLD RC frames with masonry infill by the authors . These included the modelling of the beam and column members, beam‐column joints, and masonry infill; all of which have been shown to be particularly vulnerable to damage during past earthquakes.…”

Section: Introductionmentioning

confidence: 99%

“…This was done using the statistical information for the uncertainty in the different modelling parameters established during the recently proposed numerical model calibration for GLD RC frames with masonry infill by the authors. [15][16][17][18] These included the modelling of the beam and column members, beam-column joints, and masonry infill; all of which have been shown to be particularly vulnerable to damage during past earthquakes. These empirical values for dispersion due to modelling parameter uncertainty were segregated according to structural typology, demand parameter, and limit state under consideration to provide a set of empirical values for existing RC building typologies found throughout Italy.…”

Section: Introductionmentioning

confidence: 99%

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Quantification of modelling uncertainty in existing Italian RC frames

O’Reilly

Sullivan

2017

Earthq Engng Struct Dyn

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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.

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Section: Introductionmentioning

confidence: 99%