1996
DOI: 10.1002/(sici)1096-9845(199605)25:5<421::aid-eqe560>3.0.co;2-7
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A Note on Damage-Based Inelastic Spectra

Abstract: SUMMARYWhen a structure is subjected to moderate to severe ground motions, a few excursions of the response yield level may take place following the reductions usually enforced in the design forces. These excursions are associated with progressive damage in the structure. Thus, a choice of the design level has to be suitably based on the maximum damage to be allowed in the structure. In this paper, a stochastic technique of developing damage-based non-linear spectra has been proposed for the aseismic design of… Show more

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Cited by 26 publications
(12 citation statements)
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“…However, such considerations involve computationally intensive iterative numerical schemes requiring the calculation of integrals which are not amenable to analytical treatment, without necessarily yielding results of substantially increased accuracy (see e.g. [23,33,43]). Since simplicity and computational efficiency are primary objectives in the herein proposed approach, the classical statistical linearization method is adopted in all of the ensuing analytical and numerical results to obtain equivalent linear properties by minimizing the squared difference between the nonlinear and the equivalent linear system.…”
Section: Background On the Statistical Linearization Methodssupporting
confidence: 71%
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“…However, such considerations involve computationally intensive iterative numerical schemes requiring the calculation of integrals which are not amenable to analytical treatment, without necessarily yielding results of substantially increased accuracy (see e.g. [23,33,43]). Since simplicity and computational efficiency are primary objectives in the herein proposed approach, the classical statistical linearization method is adopted in all of the ensuing analytical and numerical results to obtain equivalent linear properties by minimizing the squared difference between the nonlinear and the equivalent linear system.…”
Section: Background On the Statistical Linearization Methodssupporting
confidence: 71%
“…[23,33,[41][42][43]), while significant research effort has been also devoted in relaxing the aforementioned Gaussian distribution assumption (e.g. [44,45]).…”
Section: Background On the Statistical Linearization Methodsmentioning
confidence: 99%
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“…Furthermore, Basu and Gupta [6] derived inelastic spectra pertaining to certain recorded seismic accelerograms also based on a statistical linearization formulation. This formulation required the minimization of the error of the mean square of the peak responses between the original nonlinear and an ELS.…”
Section: Introductionmentioning
confidence: 99%