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Structural and Multidisciplinary Optimization

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20.11.2015 | RESEARCH PAPER

An efficient approach to reliability-based topology optimization for continua under material uncertainty

verfasst von: Mehdi Jalalpour, Mazdak Tootkaboni

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 4/2016

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Abstract

This contribution presents a computationally efficient method for reliability-based topology optimization for continuum domains under material properties uncertainty. Material Young’s modulus is assumed to be lognormally distributed and correlated within the domain. The computational efficiency is achieved through estimating the response statistics with stochastic perturbation of second order, using these statistics to fit an appropriate distribution that follows the empirical distribution of the response, and employing an efficient gradient-based optimizer. Two widely-studied topology optimization problems are examined and the changes in the optimized topology is discussed for various levels of target reliability and correlation strength. Accuracy of the proposed algorithm is verified using Monte Carlo simulation.

Vorheriger Artikel A semi-single-loop method using approximation of most probable point for reliability-based design optimization

Nächster Artikel Structural topology optimization under constraints on instantaneous failure probability

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Titel: An efficient approach to reliability-based topology optimization for continua under material uncertainty
verfasst von: Mehdi Jalalpour
Mazdak Tootkaboni
Publikationsdatum: 20.11.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 4/2016
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-015-1360-7

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