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Diffusion Evolutionary Algorithm
Mészáros, István ; Pospíchal, Petr (referee) ; Jaroš, Jiří (advisor)
There are new trends in artificial intelligence nowadays. Methods known as evolutionary algorithms are one of them. These algorithms allow us to design and optimize systems using computers. One of the variants of evolutionary algorithms is the diffusion evolutionary algorithm. This type of algorithms is able to run in parallel, and besides that it brings many positive features. The question is under what conditions the diffusion variant of evolutionary algorithms can effectively be used. Is it possible to use for planning systems and for problem optimization? Why are they more favorable than other types of evolutionary algorithms? This work tries to answer these questions and explain the behavior of these algorithms.
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Life-time assessment of bridge based on nonlinear analysis and degradation modelling
Kucek, Martin ; Lehký, David (referee) ; Novák, Drahomír (advisor)
The aim of this work is to calculate the lifetime period of the bridge construction based on the nonlinear analysis and the degradation modelling. As a solution was the probabilistic nonlinear finite element analysis. The nonlinear numerical analysis is provided by the programme ATENA, developed by the Červenka Consulting. We have modeled one prefabricated bridge beam KA-73, which was overloaded by power effects until the structure was damaged. Observed limit states, limit state of the decompression, crack formation and limit state of the bearing were compared with characteristic material. It is possible to determine the maximum weighted capacity for the given construction based on discovered values.
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Diffusion Evolutionary Algorithm
Mészáros, István ; Pospíchal, Petr (referee) ; Jaroš, Jiří (advisor)
There are new trends in artificial intelligence nowadays. Methods known as evolutionary algorithms are one of them. These algorithms allow us to design and optimize systems using computers. One of the variants of evolutionary algorithms is the diffusion evolutionary algorithm. This type of algorithms is able to run in parallel, and besides that it brings many positive features. The question is under what conditions the diffusion variant of evolutionary algorithms can effectively be used. Is it possible to use for planning systems and for problem optimization? Why are they more favorable than other types of evolutionary algorithms? This work tries to answer these questions and explain the behavior of these algorithms.
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|
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Life-time assessment of bridge based on nonlinear analysis and degradation modelling
Kucek, Martin ; Lehký, David (referee) ; Novák, Drahomír (advisor)
The aim of this work is to calculate the lifetime period of the bridge construction based on the nonlinear analysis and the degradation modelling. As a solution was the probabilistic nonlinear finite element analysis. The nonlinear numerical analysis is provided by the programme ATENA, developed by the Červenka Consulting. We have modeled one prefabricated bridge beam KA-73, which was overloaded by power effects until the structure was damaged. Observed limit states, limit state of the decompression, crack formation and limit state of the bearing were compared with characteristic material. It is possible to determine the maximum weighted capacity for the given construction based on discovered values.
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