Designing robust structures - A nonlinear simulation based approach

verfasst von

Michael Beer, Martin Liebscher

Abstract

This paper presents a generally applicable numerical procedure for designing robust structures under uncertainty, which can be coupled with any arbitrary nonlinear computational model for statical or dynamic structural analysis. Based on the results from an uncertain structural analysis several permissible design domains are determined with the aid of cluster analysis methods instead of traditionally computing only one particular set of crisp design parameter values; these represent design alternatives. To identify a preference solution, a discrete three-criteria optimization problem is formulated, which is focused on maximum structural robustness and includes a safety component. A measure for the global robustness of the design alternatives is introduced based on an analog to Shannon's entropy. The goal of the resulting design is that the structural behavior is only marginally affected by uncertainty and by changes in the design parameters, which further provides comfortable decision margins to the construction engineer. The proposed procedure is demonstrated by means of a numerical example and of an example from engineering practice in vehicle crashworthiness design.

Externe Organisation(en)

National University of Singapore
Technische Universität Dresden

Typ

Artikel

Journal

Computers and Structures

Band

86

Seiten

1102-1122

Anzahl der Seiten

21

ISSN

0045-7949

Publikationsdatum

05.2008

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Tief- und Ingenieurbau, Modellierung und Simulation, Werkstoffwissenschaften (insg.), Maschinenbau, Angewandte Informatik

Elektronische Version(en)

https://doi.org/10.1016/j.compstruc.2007.05.037 (Zugang: Geschlossen)