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VENCLOVSKÝ, J. ŠTĚPÁNEK, P. LANÍKOVÁ, I.
Original Title
Stochastic optimization of a reinforced concrete elements using heuristic algorithm
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Deterministic optimization, stochastic optimization, structural design
Authors
VENCLOVSKÝ, J.; ŠTĚPÁNEK, P.; LANÍKOVÁ, I.
Released
28. 2. 2018
Publisher
Trans Tech Publications
Location
Switzerland
ISBN
1662-9779
Periodical
Solid State Phenomena
Year of study
272
State
Swiss Confederation
Pages from
262
Pages to
269
Pages count
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" }