000013242 001__ 13242
000013242 005__ 20161114160333.0
000013242 04107 $$aeng
000013242 046__ $$k2009-06-22
000013242 100__ $$aHaukaas, T.
000013242 24500 $$aAdaptive reliability analysis of regional infrastructure

000013242 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013242 260__ $$bNational Technical University of Athens, 2009
000013242 506__ $$arestricted
000013242 520__ $$2eng$$aThis paper puts forward an approach for performance-based engineering and infrastructure risk analysis. The methodology is implemented in a new general-purpose software that is made freely available. Essentially, the software facilitates “plug-and-play” with multiple engineering analysis models in one reliability analysis. The developments comprise an analysis framework in three parts: the reliability/optimization analysis toolbox; the “bottom-up parameterized” model domain; and the graphical user interface. The model domain is in focus in this paper. The format, flexible organization, and ease-of-implementation of new models in the domain are key issues. Probabilistic and deterministic expressions and algorithms can be used as models, as well as external software applications, such as OpenSees. In this paper, particular focus is on probabilistic models for hazards, buildings, bridges, deterioration, damage, failure consequences, etc. This approach draws upon recent advances in performance-based earthquake engineering and probabilistic model development. The separation of aleatory (irreducible) and epistemic (reducible) uncertainty in the models is emphasized. This distinction is utilized to adaptively reduce the epistemic uncertainty by refining the models according to a new reliability importance vector. This vector ranks each epistemic random variable according to the change in reliability per “dollar” needed to change its variance. Consequently, reliabilities, risk, and loss curves are obtained with an optimized balance between model uncertainty and computational cost. The approach is applicable to regional risk analysis, as well the prediction of performance probabilities for individual buildings.

000013242 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013242 653__ $$aReliability analysis, Probabilistic models, Performance-based engineering, Epistemic uncertainty, Object-oriented software, Regional risk analysis. Abstract. This paper puts forward an approach for performance-based engineering and infrastructure risk analysis. The methodology is implemented in a new general-purpose software that is made freely available. Essentially, the software facilitates “plug-and-play” with multiple engineering analysis models in one reliability analysis. The developments comprise an analysis framework in three parts: the reliability/optimization analysis toolbox; the “bottom-up parameterized” model domain; and the graphical user interface. The model domain is in focus in this paper. The format, flexible organization, and ease-of-implementation of new models in the domain are key issues. Probabilistic and deterministic expressions and algorithms can be used as models, as well as external software applications, such as OpenSees. In this paper, particular focus is on probabilistic models for hazards, buildings, bridges, deterioration, damage, failure consequences, etc. This approach draws upon recent advances in performance-based earthquake engineering and probabilistic model development. The separation of aleatory (irreducible) and epistemic (reducible) uncertainty in the models is emphasized. This distinction is utilized to adaptively reduce the epistemic uncertainty by refining the models according to a new reliability importance vector. This vector ranks each epistemic random variable according to the change in reliability per “dollar” needed to change its variance. Consequently, reliabilities, risk, and loss curves are obtained with an optimized balance between model uncertainty and computational cost. The approach is applicable to regional risk analysis, as well the prediction of performance probabilities for individual buildings.

000013242 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013242 720__ $$aHaukaas, T.$$iMahsuli, M.
000013242 8560_ $$ffischerc@itam.cas.cz
000013242 8564_ $$s121165$$uhttps://invenio.itam.cas.cz/record/13242/files/CD359.pdf$$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 - i (MS).
000013242 962__ $$r13074
000013242 980__ $$aPAPER