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KŮDELA, J.; POPELA, P.
Original Title
Chance constrained optimal beam design: convex reformulation and probabilistic robust design
English Title
Type
WoS Article
Original Abstract
In this paper, we are concerned with a civil engineering application of optimization, namely the optimal design of a loaded beam. The developed optimization model includes ODE-type constraints and chance constraints. We use the finite element method (FEM) for the approximation of the ODE constraints. We derive a convex reformulation that transforms the problem into a linear one and find its analytic solution. Afterwards, we impose chance constraints on the stress and the deection of the beam. These chance constraints are handled by a sampling method (Probabilistic Robust Design).
English abstract
Keywords
optimal design, stochastic programming, chance constrained optimization, probabilistic robust design, geometric programming
Key words in English
Authors
RIV year
2019
Released
28.12.2018
Publisher
UTIA
Location
Prague
ISBN
0023-5954
Periodical
KYBERNETIKA
Volume
54
Number
6
State
Czech Republic
Pages from
1201
Pages to
1217
Pages count
17
URL
http://www.kybernetika.cz/content/2018/6/1201
BibTex
@article{BUT149130, author="Jakub {Kůdela} and Pavel {Popela}", title="Chance constrained optimal beam design: convex reformulation and probabilistic robust design", journal="KYBERNETIKA", year="2018", volume="54", number="6", pages="1201--1217", doi="10.14736/kyb-2018-6-1201", issn="0023-5954", url="http://www.kybernetika.cz/content/2018/6/1201" }