TY - JOUR
T1 - A new analytical procedure for the derivation of displacement-based vulnerability curves for populations of RC structures
AU - Rossetto, Tiziana
AU - Elnashai, Amr
N1 - Funding Information:
The work in this paper was funded by the European Community as part of the ‘Safety Assessment For Earthquake Risk Reduction’ (SAFERR) Research Training Network (Contract: HPRN-CT-1999-00035). The contribution of the second author, and the tenure of the first author in November 2002 at the University of Illinois, were funded by the Mid-America Earthquake Center, a UA National Science Foundation Engineering Research Center (grant reference: EEC-9701785). Dr R. Pinho of the University of Pavia (Italy) and Dr S. Antoniou are thanked for their technical help.
PY - 2005/2
Y1 - 2005/2
N2 - A new procedure is proposed for the derivation of analytical displacement-based vulnerability curves for the seismic assessment of populations of reinforced concrete structures. The methodology represents an optimum solution compromising between reliability and computational efficiency. Adaptive pushover analysis is employed within a capacity spectrum framework of assessment, to determine the performance of a population of building models for increasing ground motion intensity. The building model population is generated from a single design through consideration of material parameter uncertainty, with design of experiment techniques used to optimise the population size. Uncertainty in ground motion is accounted for through the use of suites of accelerograms with characteristics that are representative of the hazard level associated with the performance level assessed in each vulnerability curve. The new homogeneous reinforced concrete damage scale, which is experimentally calibrated to maximum inter-storey drift for different structural systems, is used to determine the damage state of the building at the performance point. The results of the assessments are used to construct response surfaces from which the damage statistics forming the basis of the vulnerability curves are generated through re-sampling. The proposed methodology is illustrated for the case of low-rise, infilled RC frames with inadequate seismic provisions. The derived curves show good correlation with observational post-earthquake damage statistics.
AB - A new procedure is proposed for the derivation of analytical displacement-based vulnerability curves for the seismic assessment of populations of reinforced concrete structures. The methodology represents an optimum solution compromising between reliability and computational efficiency. Adaptive pushover analysis is employed within a capacity spectrum framework of assessment, to determine the performance of a population of building models for increasing ground motion intensity. The building model population is generated from a single design through consideration of material parameter uncertainty, with design of experiment techniques used to optimise the population size. Uncertainty in ground motion is accounted for through the use of suites of accelerograms with characteristics that are representative of the hazard level associated with the performance level assessed in each vulnerability curve. The new homogeneous reinforced concrete damage scale, which is experimentally calibrated to maximum inter-storey drift for different structural systems, is used to determine the damage state of the building at the performance point. The results of the assessments are used to construct response surfaces from which the damage statistics forming the basis of the vulnerability curves are generated through re-sampling. The proposed methodology is illustrated for the case of low-rise, infilled RC frames with inadequate seismic provisions. The derived curves show good correlation with observational post-earthquake damage statistics.
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U2 - 10.1016/j.engstruct.2004.11.002
DO - 10.1016/j.engstruct.2004.11.002
M3 - Article
AN - SCOPUS:13444302510
SN - 0141-0296
VL - 27
SP - 397
EP - 409
JO - Engineering Structures
JF - Engineering Structures
IS - 3
ER -