000015065 001__ 15065
000015065 005__ 20161115100210.0
000015065 04107 $$aeng
000015065 046__ $$k2016-08-21
000015065 100__ $$aTortorelli, Daniel
000015065 24500 $$aTopology optimization under uncertainty via non-intrusive polynomial chaos expansions (INVITED)

000015065 24630 $$n24.$$p24th International Congress of Theoretical and Applied Mechanics - Book of Papers
000015065 260__ $$bInternational Union of Theoretical and Applied Mechanics, 2016
000015065 506__ $$arestricted
000015065 520__ $$2eng$$aThis paper presents a systematic approach for topology optimization under uncertainty. The approach integrates an efficient non-intrusive polynomial chaos expansion with design sensitivities for reliability-based and robust topology optimization. Uncertainty is introduced in the loading and elemental densities to address the manufacturing variability. The manufacturing variability is represented via a random process with a Karhunen Loeve expansion on underlying uncertain parameters. To demonstrate the effect of uncertainty, the results of the optimization under uncertainty are compared with deterministic optimization results.

000015065 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000015065 653__ $$a

000015065 7112_ $$a24th International Congress of Theoretical and Applied Mechanics$$cMontreal (CA)$$d2016-08-21 / 2016-08-26$$gICTAM2016
000015065 720__ $$aTortorelli, Daniel
000015065 8560_ $$ffischerc@itam.cas.cz
000015065 8564_ $$s29191$$uhttps://invenio.itam.cas.cz/record/15065/files/TS.MS06-1.04.pdf$$yOriginal version of the author's contribution as presented on CD,  page 342, code TS.MS06-1.04
.
000015065 962__ $$r13812
000015065 980__ $$aPAPER