000013129 001__ 13129
000013129 005__ 20161114160328.0
000013129 04107 $$aeng
000013129 046__ $$k2009-06-22
000013129 100__ $$aJensen H., A.
000013129 24500 $$aAn efficient first-order scheme for searching optimal robust designs

000013129 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013129 260__ $$bNational Technical University of Athens, 2009
000013129 506__ $$arestricted
000013129 520__ $$2eng$$aAn efficient method to carry out reliability-based optimization of uncertain structural systems under stochastic excitation is presented. The approach is based on a descent-feasible direction and a line search strategy. Starting from a feasible design, a direction that improves the objective function while ensuring the fulfillment of the probabilistic and deterministic constraints is determined. Once a feasible direction is determined a line search strategy is employed to determine a new candidate design. Then, the design is updated and the process continues until convergence is achieved. The proposed design scheme is monotonically convergent, that is, it generates a sequence of steadily improved feasible designs. The proposed optimization scheme improves initial feasible designs substantially after only few iterations. An example problem that considers a resistant element of an uncertain shear building model under earthquake motion is presented to illustrate the effectiveness and feasibility of the proposed approach.

000013129 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013129 653__ $$aDescent-feasible Direction, Line Search, Reliability-Based Optimization, Sensitivity Analysis, Robust Design, Uncertain Systems. Abstract. An efficient method to carry out reliability-based optimization of uncertain structural systems under stochastic excitation is presented. The approach is based on a descent-feasible direction and a line search strategy. Starting from a feasible design, a direction that improves the objective function while ensuring the fulfillment of the probabilistic and deterministic constraints is determined. Once a feasible direction is determined a line search strategy is employed to determine a new candidate design. Then, the design is updated and the process continues until convergence is achieved. The proposed design scheme is monotonically convergent, that is, it generates a sequence of steadily improved feasible designs. The proposed optimization scheme improves initial feasible designs substantially after only few iterations. An example problem that considers a resistant element of an uncertain shear building model under earthquake motion is presented to illustrate the effectiveness and feasibility of the proposed approach.

000013129 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013129 720__ $$aJensen H., A.$$iSchueller G., I.$$iValdebenito M., A.$$iKusanovic D., S.
000013129 8560_ $$ffischerc@itam.cas.cz
000013129 8564_ $$s1384143$$uhttps://invenio.itam.cas.cz/record/13129/files/CD177.pdf$$yOriginal version of the author's contribution as presented on CD, section: Robust stochastic analysis, optimal design and model updating of engineering systems - ii (MS).
000013129 962__ $$r13074
000013129 980__ $$aPAPER