| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Struct Engn, Ave Trabalhador SaoCarlense, 400 Ctr, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Clermont Auvergne, Inst Pascal, BP 10448, F-63000 Clermont Ferrand - France
[3] CNRS, UMR 6602, IP, F-63178 Aubiere - France
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | Engineering Analysis with Boundary Elements; v. 85, p. 116-126, DEC 2017. |
| Web of Science Citations: | 4 |
| Abstract | |
Topology Optimization is a useful approach in the early stages of engineering design because it provides structural layout satisfying the performance requirements with the less material amount. Optimal topology solutions may not be unique for the same initial conditions. Local minima may be achieved depending on the design parameters. In such cases, deterministic criteria are often used for choosing the most convenient solution. In the present study, a probabilistic framework for obtaining additional information from the design is proposed, in order to improve the decision-making process. This methodology takes into consideration the less sensitive topology with respect to the geometric variabilities. The framework is based on a novel coupling of Boundary Element Method, Surface Response Method and Probability theory. Two engineering applications are utilized for demonstrating the proposed methodology. The results illustrate that the topology chosen based on the straightforward deterministic criterion may not be sufficient to determine a robust solution from the engineering point of view. (C) 2017 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 12/24944-5 - Development of numerical models applied to probabilistic topological optimization analyses using the Boundary Element Method |
| Grantee: | Hugo Luiz Oliveira |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 15/07931-5 - Development of numerical models for probabilistic topology optimization analysis using the boundary element method |
| Grantee: | Hugo Luiz Oliveira |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |