Detail publikace

Chance constrained optimal beam design: convex reformulation and probabilistic robust design

KŮDELA, J. POPELA, P.

Anglický název

Chance constrained optimal beam design: convex reformulation and probabilistic robust design

Typ

Článek WoS

Jazyk

en

Originální abstrakt

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).

Klíčová slova anglicky

optimal design, stochastic programming, chance constrained optimization, probabilistic robust design, geometric programming

Vydáno

2018-12-28

Nakladatel

UTIA

Místo

Prague

ISSN

0023-5954

Ročník

54

Číslo

6

Strany od–do

1201–1217

Počet stran

17

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"
}