000013130 001__ 13130
000013130 005__ 20161114160328.0
000013130 04107 $$aeng
000013130 046__ $$k2009-06-22
000013130 100__ $$aJensen H., A.
000013130 24500 $$aStochastic sensitivity analysis: an essential tool for optimal design of dynamical systems under uncertain loading

000013130 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013130 260__ $$bNational Technical University of Athens, 2009
000013130 506__ $$arestricted
000013130 520__ $$2eng$$aFirst, the role of stochastic sensitivity analysis in the optimal design of dynamical systems under uncertain excitation is examined. Stochastic optimization problems formulated in terms of response statistics are considered in this study. It is shown that stochastic sensitivity analysis is an essential tool for solving single and multi-objective stochastic optimization problems. Next, the importance of stochastic sensitivity analysis in post-evaluation calculations is addressed. These calculations permit to determine how sensitive optimal designs are to changes in the various model parameters and preliminary assumptions. For multi-objective optimization problems the sensitivity analysis allows to evaluate the variation in some objectives given the variation in another objectives on the Pareto surface. Such information is used for decision making and tradeoff analysis. A frame structure with friction devices under earthquake loading is presented as an illustrative example.

000013130 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013130 653__ $$aCompromise Programming, Multi-Objective Optimization, Sensitivity Analysis, Stochastic Response, Tradeoff Analysis. Abstract. First, the role of stochastic sensitivity analysis in the optimal design of dynamical systems under uncertain excitation is examined. Stochastic optimization problems formulated in terms of response statistics are considered in this study. It is shown that stochastic sensitivity analysis is an essential tool for solving single and multi-objective stochastic optimization problems. Next, the importance of stochastic sensitivity analysis in post-evaluation calculations is addressed. These calculations permit to determine how sensitive optimal designs are to changes in the various model parameters and preliminary assumptions. For multi-objective optimization problems the sensitivity analysis allows to evaluate the variation in some objectives given the variation in another objectives on the Pareto surface. Such information is used for decision making and tradeoff analysis. A frame structure with friction devices under earthquake loading is presented as an illustrative example.

000013130 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013130 720__ $$aJensen H., A.
000013130 8560_ $$ffischerc@itam.cas.cz
000013130 8564_ $$s333151$$uhttp://invenio.itam.cas.cz/record/13130/files/CD178.pdf$$yOriginal version of the author's contribution as presented on CD, section: Uncertainty analysis in structural dynamics and earthquake engineering - i.
000013130 962__ $$r13074
000013130 980__ $$aPAPER