Uncertainty and robustness in structural design

authored by: M. Beer, M. Liebscher
Abstract: In this paper a new numerical approach is proposed for designing robust structures. The goal is to find a design which ensures a proper behavior of the structure despite uncertainty of structural and environmental parameters. Changes of design parameters should not have dramatic effects. A three-criteria optimization problem is solved to determine the optimum design variant. Criterion I is the traditional optimization criterion, such as a minimum mass or minimum cost. Criterion II is the maximum robustness of the structure. Criterion III concerns a maximum size of a suitable range of design parameters to provide the engineer with comfortable decision margins during construction and production. The procedure is demonstrated by way of an industrial example.
External Organisation(s): National University of Singapore
DynaMore GmbH
Type: Conference contribution
Publication date: 2009
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computer Science Applications, Civil and Structural Engineering, Environmental Engineering

BibTeX

@inproceedings{6ac1a74ecfd346d39a6f821ed67350b4,
title = "Uncertainty and robustness in structural design",
abstract = "In this paper a new numerical approach is proposed for designing robust structures. The goal is to find a design which ensures a proper behavior of the structure despite uncertainty of structural and environmental parameters. Changes of design parameters should not have dramatic effects. A three-criteria optimization problem is solved to determine the optimum design variant. Criterion I is the traditional optimization criterion, such as a minimum mass or minimum cost. Criterion II is the maximum robustness of the structure. Criterion III concerns a maximum size of a suitable range of design parameters to provide the engineer with comfortable decision margins during construction and production. The procedure is demonstrated by way of an industrial example.",
keywords = "Cluster analysis, Design under uncertainty, Fuzzy analysis, Inverse problem, Robust design, Structural robustness",
author = "M. Beer and M. Liebscher",
year = "2009",
language = "English",
isbn = "9781905088300",
series = "Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing",
booktitle = "Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing",
note = "12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009 ; Conference date: 01-09-2009 Through 04-09-2009",
}