Influence of Modelling Parameters on the Fragility Assessment of Pre-1970 Italian Rc Structures

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

doi:10.7712/120115.3430.1245

Cited by 5 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of numerical modelling of the case study frames, the developments of the authors [15][16][17] using the OpenSees framework 38 were adopted herein for the structures. The beam and column elements were modelled using a lumped plasticity element, and the hysteretic rule for these is illustrated in Figure 1.…”

Section: Structural Typologies and Numerical Modellingmentioning

confidence: 99%

“…In terms of the relative influence of the parameters at the collapse limit state, this minimal impact may be the case where the uncertainty in the peak and post‐peak deformation capacity dominate the response. Because the present study considered the entire range of structural response including collapse, and considering the results of past sensitivity studies (eg, O'Reilly and Sullivan), the elastic damping was considered an uncertain parameter that merited consideration. In addition to the RC frame elements, some other modelling parameters pertaining to this study were the relative importance of the beam‐column joint and masonry infill properties.…”

Section: Past Research Quantifying Modelling Uncertaintymentioning

confidence: 99%

“…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%

See 3 more Smart Citations

Quantification of modelling uncertainty in existing Italian RC frames

O’Reilly

Sullivan

2017

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

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.

show abstract

Section: Structural Typologies and Numerical Modellingmentioning

confidence: 99%

Section: Past Research Quantifying Modelling Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantification of modelling uncertainty in existing Italian RC frames

O’Reilly

Sullivan

2017

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

show abstract

“…In addition to the out-of-date seismic provisions (or in many cases, no seismic provisions at all) adopted during past construction, another detail regarding the construction of these buildings that leaves them quite vulnerable to seismic loading is the use of smooth reinforcing bars in the frame members that were terminated with end-hooks in the beam-column joints. This affects the bonding of the reinforcement to the concrete paste resulting in a modified ductility compared to newer ductile detailing of the frame members in addition to a potential shear mechanism in beam-column joint, as discussed in [4,8].…”

Section: Structural Typologies and Numerical Modellingmentioning

confidence: 99%