2009
DOI: 10.1016/j.strusafe.2008.06.002
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Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings

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Cited by 398 publications
(298 citation statements)
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“…The epistemic or modeling uncertainty (β modeling ) is mainly due to lack of knowledge about the real properties of the structural elements. To combine the record-to-record and modeling uncertainties, the mean estimates approach (Liel et al 2009) assumes that the two uncertainties are lognormally distributed and independent, such that the total uncertainty, β Total , is given by: …”
Section: Collapse Evaluationmentioning
confidence: 99%
“…The epistemic or modeling uncertainty (β modeling ) is mainly due to lack of knowledge about the real properties of the structural elements. To combine the record-to-record and modeling uncertainties, the mean estimates approach (Liel et al 2009) assumes that the two uncertainties are lognormally distributed and independent, such that the total uncertainty, β Total , is given by: …”
Section: Collapse Evaluationmentioning
confidence: 99%
“…It is associated with nonlinear modeling, based on the evaluation of the accuracy and robustness of the nonlinear models used and their ability to represent the true physical properties and the seismic response of structures. In order to combine the contributions of aleatory and epistemic uncertainties, the mean estimates approach is used herein [42]. When the record-to-record uncertainties are only considered, the structural response is well-described by a lognormal distribution, with a median, θ, and standard deviation, β RTR .…”
Section: Collapse Evaluationmentioning
confidence: 99%
“…They describe the relationship between earthquake hazard and the structural response expressed as engineer design parameters (e.g., maximum inter-story drift, maximum displacement). Peak ground acceleration (PGA) (Shinozuka et al 2000;Sasani et al 2002;Choun and Elnashai 2010;Garcia and Soong 2003;Banerjee and Shinozuka 2008) and pseudo-spectral acceleration (PSA) (Gardoni and Rosowski 2009;Liel et al 2009;Ellingwood et al 2007;Lin et al 2013a;Jalayer et al 2015) are among the most widely used intensity measures in fragility analysis. Two major issues regarding fragility are discussed in this paper and solutions to overcome them are sought.…”
Section: Introductionmentioning
confidence: 99%