Main goal of the paper is to present an algorithm for stochastic optimization of design of steel-reinforced concrete element’s cross section. Firstly, the deterministic problem is introduced and described, followed by the description of uncertainties involved in the process and stochastic reformulation of the problem. Afterwards, the algorithm itself is introduced. This algorithm is based on internal cycle of deterministic optimization using reduced gradient method and external cycle of stochastic optimization using regression analysis. The probability is assessed on orthogonal grid via modified bisection method. The paper concludes with presentation of the performed calculations and their results
In engineering problems the randomness and uncertainties are inherent, thus the scatter of structura...
The subject of this thesis is the optimization of design variables of reinforced concrete cross-sect...
The diploma thesis deals with penalty approach to stochastic optimization with chance constraints wh...
Tato disertační práce se zabývá vytvořením algoritmu pro stochastickou optimalizaci průřezových char...
This paper presents a discrete optimization of reinforced concrete structures based on an efficient ...
The thesis focuses the reader on the sense of optimization and its importance for civil engineering....
Methodical aspects of the reliability-based structural optimisation using stochastic quasigradient m...
Methodical aspects of the reliability-based structural optimisation using stochastic quasigradient m...
summary:The purpose of the paper is to discuss the applicability of stochastic programming models an...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
Práce si klade za cíl přiblížit čtenáři smysl optimalizace a její význam pro stavební praxi. Naznaču...
Application of stochastic finite elements in structural optimization is considered. It is shown how ...
In engineering problems the randomness and uncertainties are inherent, thus the scatter of structura...
The subject of this thesis is the optimization of design variables of reinforced concrete cross-sect...
The diploma thesis deals with penalty approach to stochastic optimization with chance constraints wh...
Tato disertační práce se zabývá vytvořením algoritmu pro stochastickou optimalizaci průřezových char...
This paper presents a discrete optimization of reinforced concrete structures based on an efficient ...
The thesis focuses the reader on the sense of optimization and its importance for civil engineering....
Methodical aspects of the reliability-based structural optimisation using stochastic quasigradient m...
Methodical aspects of the reliability-based structural optimisation using stochastic quasigradient m...
summary:The purpose of the paper is to discuss the applicability of stochastic programming models an...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
An application to structural design of an innovative method for optimising stochastic systems is i...
Práce si klade za cíl přiblížit čtenáři smysl optimalizace a její význam pro stavební praxi. Naznaču...
Application of stochastic finite elements in structural optimization is considered. It is shown how ...
In engineering problems the randomness and uncertainties are inherent, thus the scatter of structura...
The subject of this thesis is the optimization of design variables of reinforced concrete cross-sect...
The diploma thesis deals with penalty approach to stochastic optimization with chance constraints wh...