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VENCLOVSKÝ, J. ŠTĚPÁNEK, P. LANÍKOVÁ, I.
Originální název
Stochastic optimization of a reinforced concrete elements using heuristic algorithm
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
It is possible to see various applications of mathematical optimization in civil engineering (structural design, reconstruction of transportation networks etc.) Initially, deterministic approaches have been introduced to solve these problems. But despite their complexity, these approaches are insufficient to comprehend the probabilistic nature of said problems and thus provide only suboptimal solutions. Hence the effort comes to reconsider these deterministic approaches and deal with uncertainties involved in said problems in less straightforward way. The goal of the paper is to present the algorithm for stochastic optimization of design of steel-reinforced concrete cross-section. This algorithm is based on internal cycle of deterministic optimization using reduced gradient method and external cycle of stochastic optimization using regression analysis. Firstly, the deterministic problem is introduced and described. It is followed by the description of uncertainties, which are involved in the process, and stochastic reformulation of the problem. Then the algorithm itself is introduced and the paper ends with presentation of the results of performed calculations.
Klíčová slova
Deterministic optimization, stochastic optimization, structural design
Autoři
VENCLOVSKÝ, J.; ŠTĚPÁNEK, P.; LANÍKOVÁ, I.
Vydáno
28. 2. 2018
Nakladatel
Trans Tech Publications
Místo
Switzerland
ISSN
1662-9779
Periodikum
Solid State Phenomena
Ročník
272
Stát
Švýcarská konfederace
Strany od
262
Strany do
269
Strany počet
8
URL
https://www.scientific.net/SSP.272.262
BibTex
@inproceedings{BUT144981, author="Jakub {Venclovský} and Petr {Štěpánek} and Ivana {Laníková}", title="Stochastic optimization of a reinforced concrete elements using heuristic algorithm", booktitle="24th Concrete Days 2017", year="2018", journal="Solid State Phenomena", volume="272", pages="262--269", publisher="Trans Tech Publications", address="Switzerland", doi="10.4028/www.scientific.net/SSP.272.262", issn="1662-9779", url="https://www.scientific.net/SSP.272.262" }