Peter Pecháč
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Numerical Simulation of Cold Rolled Steel Sheet Metal during Blanking Process Open
This paper presents numerical simulation of blanking process using finite element method and comparison of results obtained by analytical solution commonly used in engineering practice. The problem was modeled using axial symmetry. Experim…
Numerical simulation of blanking process Open
This paper presents numerical simulation of blanking process for cold-rolled steel sheet metal. The problem was modeled using axial symmetry in commercial finite element software ADINA. Data obtained by experimental measurement were used t…
Generating Random Pattern for Homogenization of Fiber Reinforced Composites Using Memetic Algorithm Open
The paper presents solution to random generation of fibers in composite materials for homogenization using representative volume. Randomly positioned fibers with random diameters of constrained sizes are generated within predefined represe…
Application of Memetic Algorithms in Multi-Criteria Structural Optimization Open
The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is te…
CFD Simulation of Hydraulic Tank Open
The aim of this paper is the examination of fluid dynamics in a tank. The use of modern CAD and CFD techniques in the conception and simulation of industrial products has huge applications in the mechanical, automotive and aerospace indust…
Modal Analysis of Gearbox Housing with Applied Load Open
The paper presents examination of the modal characteristic of gearbox housing with applied load. The first step involved solution of static analysis with load in form of bearing reactions. Subsequently modal analysis was performed to obtai…
Feasibility Study of Using Artificial Neural Networks for Approximation of n-dimensional Objective Functions in Memetic Algorithms for Structural Optimization Open
Evaluation of objective function for problems of structural optimization is generally considered as computationally expensive and can take from few seconds to hours or even days. After certain number of solutions has been evaluated during …
Memetic Algorithm with Normalized RBF ANN for Approximation of Objective Function and Secondary RBF ANN for Error Mapping Open
Memetic algorithms (MAs) based on genetic algorithm (GAs) often require many evaluations of objective function. In applications like structural optimization a single evaluation of objective function can take from mere seconds to few hours …
Implementation of Memetic Algorithms into Structural Optimization Open
The paper presents an implementation of the memetic algorithm for discrete structural optimization. This algorithm is a combination of genetic algorithm and five local search methods. The proposed memetic algorithm is able to choose the ri…
Controlling of Local search Methods’ Parameters in Memetic Algorithms Using the Principles of Simulated Annealing Open
In simulated annealing the probability of transition to a state with worse value of objective function is guided by a cooling schedule. The more iterations are spent, the more strict the acceptance probability function becomes. In the end …