000018275 001__ 18275
000018275 005__ 20170118182215.0
000018275 04107 $$aeng
000018275 046__ $$k2017-01-09
000018275 100__ $$aKougioumtzoglou, Ioannis
000018275 24500 $$aAn Approximate Approach for Efficient Stochastic Incremental Dynamic Analysis

000018275 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018275 260__ $$b
000018275 506__ $$arestricted
000018275 520__ $$2eng$$aIncremental dynamic analysis (IDA) has been a well-established methodology in earthquake engineering for assessing the performance of structural systems under a suite of ground motion records, each scaled to several levels of seismic intensity. Nevertheless, the need for performing nonlinear dynamic analyses both for various excitation magnitudes and for a large number of seismic records renders the IDA methodology potentially a computationally highly demanding task. In this paper, an efficient stochastic IDA methodology for nonlinear/hysteretic oscillators is developed by resorting to nonlinear stochastic dynamics concepts and tools such as stochastic averaging and statistical linearization. Specifically, modeling the excitation as a non-stationary stochastic process possessing an evolutionary power spectrum (EPS), an approximate closedform expression is derived for the parameterized oscillator response amplitude probability density function (PDF) as a function of the excitation EPS intensity magnitude. In this regard, an IDA surface is determined providing the PDF of the engineering demand parameter (EDP) for a given intensity measure (IM) value. In contrast to an alternative Monte Carlo simulation (MCS) based determination of the IDA surface, the herein developed methodology determines the EDP PDF at minimal computational cost. Note that the technique can account for physically realistic excitation models possessing not only time-varying intensities but time-varying frequency contents as well. Numerical examples include a bilinear/hysteretic single-degree-of-freedom (SDOF) oscillator, whereas comparisons with pertinent MCS data demonstrate the reliability of the developed stochastic IDA methodology.

000018275 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018275 653__ $$aincremental dynamic analysis; nonlinear system; stochastic dynamics; stochastic averaging; statistical linearization

000018275 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018275 720__ $$aKougioumtzoglou, Ioannis$$iSantos, Ketson Dos$$iBeck, Andre
000018275 8560_ $$ffischerc@itam.cas.cz
000018275 8564_ $$s647369$$uhttps://invenio.itam.cas.cz/record/18275/files/1141.pdf$$yOriginal version of the author's contribution as presented on USB, paper 1141.
000018275 962__ $$r16048
000018275 980__ $$aPAPER