000021504 001__ 21504
000021504 005__ 20170622131249.0
000021504 04107 $$aeng
000021504 046__ $$k2017-06-15
000021504 100__ $$aFiore, Alessandra
000021504 24500 $$aFINDING CORRELATIONS BETWEEN ENGINEERING DEMAND PARAMETERS AND INTENSITY MEASURES THROUGH EVOLUTIONARY POLYNOMIAL REGRESSION

000021504 24630 $$n6.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000021504 260__ $$bNational Technical University of Athens, 2017
000021504 506__ $$arestricted
000021504 520__ $$2eng$$aA critical issue in performance-based seismic assessment of structures and infrastructures is the development of reliable formulations able to correlate engineering demand parameters (EDPs) with given earthquake intensity measures (IMs). This task involves the following steps: i) selection of target cases-study and elaboration of the corresponding structural models, ii) preparation of the database collecting seismic records, iii) identification of candidate EDPs and IMs, iv) nonlinear dynamic analyses, v) numerical calibration of functional models able to correlate EDPs and IMs, vi) evaluation of the predictive capability of the developed models. Within this framework, the present paper exploits an advanced nonlinear regression method – named Evolutionary Polynomial Regression technique – in order to obtain several non-dominated models (according to the Pareto’s dominance criterion) that predict EDPs as function of assigned IMs for fixed-base and base-isolated multi-storey reinforced concrete buildings subjected to ordinary and pulse-like ground motion.

000021504 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021504 653__ $$aEngineering demand parameter, Evolutionary Polynomial Regression, Intensity measure, Reinforced concrete building, Seismic assessment.

000021504 7112_ $$aCOMPDYN 2017 - 6th International Thematic Conference$$cRhodes Island (GR)$$d2017-06-15 / 2017-06-17$$gCOMPDYN2017
000021504 720__ $$aFiore, Alessandra$$iMarano, Giuseppe Carlo$$iQuaranta, Giuseppe$$iMollaioli, Fabrizio
000021504 8560_ $$ffischerc@itam.cas.cz
000021504 8564_ $$s506040$$uhttps://invenio.itam.cas.cz/record/21504/files/16732.pdf$$yOriginal version of the author's contribution as presented on CD, section: [MS19] Loss, Risk, Uncertainty and Nonlinear Modeling for Performance-Based Earthquake Engineering
.
000021504 962__ $$r21500
000021504 980__ $$aPAPER