000013333 001__ 13333
000013333 005__ 20161114160336.0
000013333 04107 $$aeng
000013333 046__ $$k2009-06-22
000013333 100__ $$aStefanou, G.
000013333 24500 $$aNonlinear dynamic response variability of frames with stochastic non-gaussian parameter uncertainty

000013333 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013333 260__ $$bNational Technical University of Athens, 2009
000013333 506__ $$arestricted
000013333 520__ $$2eng$$aIn this paper, a novel approach is presented to investigate realistic problems of structures subjected to transient seismic actions. This approach is used to assess the nonlinear stochastic response of a 3-storey steel moment-resisting frame in the framework of Monte Carlo simulation (MCS) and translation process theory. The structure is modeled with a mixed fiber-based, beam-column element. The adopted formulation leads to the reduction of the computational cost required for the calculation of the element stiffness matrix, while increased accuracy compared to traditional displacement-based elements is achieved. The uncertain parameters of the problem are the Young modulus and the yield stress, both described by homogeneous non-Gaussian translation stochastic fields that vary along the element. The frame is subjected to natural seismic records that correspond to three levels of increasing seismic hazard as well as to spectrum-compatible artificial accelerograms. Under the assumption of a pre-specified power spectral density function of the stochastic fields that describe the two uncertain parameters, the response variability of the frame is computed using MCS. Moreover, a parametric investigation is carried out providing useful conclusions regarding the influence of the non-Gaussian distribution as well as of the correlation length of the stochastic fields on the dynamic response variability.

000013333 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013333 653__ $$aFiber approach, Non-Gaussian translation fields, Nonlinear response history analysis, Response variability, Earthquake. Abstract. In this paper, a novel approach is presented to investigate realistic problems of structures subjected to transient seismic actions. This approach is used to assess the nonlinear stochastic response of a 3-storey steel moment-resisting frame in the framework of Monte Carlo simulation (MCS) and translation process theory. The structure is modeled with a mixed fiber-based, beam-column element. The adopted formulation leads to the reduction of the computational cost required for the calculation of the element stiffness matrix, while increased accuracy compared to traditional displacement-based elements is achieved. The uncertain parameters of the problem are the Young modulus and the yield stress, both described by homogeneous non-Gaussian translation stochastic fields that vary along the element. The frame is subjected to natural seismic records that correspond to three levels of increasing seismic hazard as well as to spectrum-compatible artificial accelerograms. Under the assumption of a pre-specified power spectral density function of the stochastic fields that describe the two uncertain parameters, the response variability of the frame is computed using MCS. Moreover, a parametric investigation is carried out providing useful conclusions regarding the influence of the non-Gaussian distribution as well as of the correlation length of the stochastic fields on the dynamic response variability.

000013333 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013333 720__ $$aStefanou, G.$$iFragiadakis, M.
000013333 8560_ $$ffischerc@itam.cas.cz
000013333 8564_ $$s291169$$uhttps://invenio.itam.cas.cz/record/13333/files/CD491.pdf$$yOriginal version of the author's contribution as presented on CD, section: Statistical and probabilistic methods in computational mechanics to treat aleatory and epistemic uncertainties in structural and/or geotechnical systems and their loading environment - ii (MS).
000013333 962__ $$r13074
000013333 980__ $$aPAPER