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Optimization of concrete structures using stochastic optimization methods
Slowik, Ondřej ; Pukl,, Radomír (referee) ; Novák, Drahomír (advisor)
The thesis focuses the reader on the sense of optimization and its importance for civil engineering. It outlines the principles used by some optimization methods and discusses the possibility of combination of any type of methods LHS with other optimization method. The result is a new type of optimization method named Nested LHS described in the text of the third chapter. The fifth chapter applies some of the lessons learned to solve practical optimization problem - reinforced concrete bridge solved by nonlinear finite element analysis using pseudostochastic optimization method LHS mean.
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Optimization of a small induction machine’s slots
Šišák, David ; Janda, Marcel (referee) ; Mach, Martin (advisor)
This master thesis deals with optimization of the shape of the stator and rotor slots of induction motor with focusing on increasing efficiency. The theoretical part introduces the principles of optimization algorithms. Another part is devoted to design the shape of slots and its influence on the shape of slots on machine. On the models of motor was conducted the optimized shape of slots by using a genetic algorithm. Firstly, it was performed by using the analytical calculation in the RMxprt program, then by using the finite element method on two different models, whose difference simulates the influence of the production technology on the efficiency of the motor. Laboratory measurement was made on a real machine as well. The results of the measurement, calculations and optimizations are compared in the work.
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Thermal Calculation of Rotational Electrical Machines Using Thermal Network
Špérová, Alice ; Dědková, Jarmila (referee) ; Kremser, Andreas (referee) ; Kotrba,, Vít (referee) ; Ondrůšek, Čestmír (advisor)
Práce se zabývá konstrukcí a využitím tepelných sítí k simulaci oteplení elektrických motorů velkých výkonú. Po úvodu do termiky a teorie proudění je popsána konstrukce tří různých typů sítí pro odlišné ventilační schémata motoru. Dále jsou popsány optimalizační metody a jejich možnosti k tepelné optimalizaci motorů. Je vybrána a vysvělena Marquard-Levenbergova metoda a na konkrétním případě je vysvětleno její použití a výhody pro optimalizaci chlazení elektrického motoru. V závěru se práce zabývá také citlivostí teplotních sití na jednotlivé vstupní parametry, porovnáním simulací s měřenými výsledky a také vlivem teplotních závislosti jenotlivých prvků sítě.
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Design Optimization of Contact Force Vector Sensor
Vála, Pavel ; Vlach, Radek (referee) ; Krejčí, Petr (advisor)
The aim of this work is an optimalization of vector contact force sensor properties which prototype is at the moment designed. The principle of sensor is based on transformation active part of sensor using three tensiometers and following value indentification of loading force vector using neuron network. Sensor has a bad sensitivity when axis force load or near to axis of sensor. To solve this problem ''MKP'' model of sensor was used on which suitable optimalization method was applicated. From the result of optimalization modificated sensor will be proposed and will be made a utility verification using neuron network.
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Reliability-based structural optimization
Slowik, Ondřej ; Pukl, Radomír (referee) ; Novák, Drahomír (advisor)
This thesis presents the reader the importance of optimization and probabilistic assessment of structures for civil engineering problems. Chapter 2 further investigates the combination between previously proposed optimization techniques and probabilistic assessment in the form of optimization constraints. Academic software has been developed for the purposes of demonstrating the effectiveness of the suggested methods and their statistical testing. 3th chapter summarizes the results of testing previously described optimization method (called Aimed Multilevel Sampling), including a comparison with other optimization techniques. In the final part of the thesis, described procedures have been demonstrated on the selected optimization and reliability problems. The methods described in text represents engineering approach to optimization problems and aims to introduce a simple and transparent optimization algorithm, which could serve to the practical engineering purposes.
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Optimization of EMI filter Circuitry
Surovec, Vojtěch ; Soldán, Josef (referee) ; Dřínovský, Jiří (advisor)
In introduction of work, I presented the state of the art of measuring insertion loss of the EMI filter and the description of individual methods of measuring is also included. After that I dealt with global optimization methods and some of them I theoretically described. Mainly PSO method was studied carefully, and the principle of optimization in details are presented in the thesis, because this method was used for optimization of the filters parameters in the thesis. Next part of work deals with theoretical and mathematical expression of insertion loss of the EMI filters. Due to the mathematical expression of the insertion loss, the values of parasitic elements of given filter have been optimized in different measuring systems. This optimization was applied on synthetic data. By this step the functionality of optimization was proved and also the fitness function has been tuned and optimised. The last part of thesis works with optimization on measured data of given filters. I found out inaccuracy in mathematical expression of given model of EMI filter, therefore it was necessary to come up with the new filter model. The accuracy increases by using the new filter model. In next step the new model was enlarged by new spurious components.
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GENERATIVE FURNITURE
Picek, Matěj ; Krejčí, Daniel (referee) ; Tobola, Ondřej (advisor)
This thesis deals with the basic principles of the functioning of the technology of generative design, using the method of topology optimization and finding their potential with the capabilities of the application in the field of furniture design. The main outcome is a functional prototype of a low relaxing chair, which specific construction is designed using the method of topology optimization.
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Optimization of recycled concrete materials from precast concrete elements and their characteristics for building information model
Venkrbec, Václav ; Mésároš,, Peter (referee) ; Šuhajda, Karel (referee) ; Henková, Svatava (advisor)
The dissertation thesis deals with the use of recycled concrete aggregates obtained from deconstructed parts of a precast panels’ apartment building. Furthermore, the work presents an optimization supplier-logistics algorithm to achieve a wider application of recycled aggregate concrete (RAC) in structural concrete in a new building. As part of the newly developed optimization algorithm of ready-mixed concrete suppliers, non-graphical data from the building information model (BIM) were intensively used. The work also addresses the transfer of data from and back to the information model and the definition of characteristics needed to optimize the entire process. At the theoretical level, the work deals with a comprehensive literature review of the above-mentioned fields. The experimental part of the work is focused on materials research carried out in order to verify the suitability of a particular type of RAC for structural use. The work introduces the procedures and test results of two types of recycled aggregates and then presents a range of recycled concrete recipes with partial replacement of aggregates for RCAs, obtained from prefabricated panels of high-rise buildings. The gained test results show the technical suitability of the tested RCA sources for producing medium-strength structural RAC. A significant part of the analytically oriented experimental part of the work is the logistic optimization scenario with its own matrix-based discrete algorithm and economic graphical evaluation. The case study examines the relevance of the proposed algorithm on a real scenario, namely the construction of the scientific technology institute CEITEC in Brno. Furthermore, the work summarizes the issue of BIM and presents a methodology for handling non-graphical information of the building model to define the characteristics of recycled concrete in buildings. The conclusions are addressed both for practice and for the development of scientific disciplines. The work provides
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Molecular Signature as Optima of Multi-Objective Function with Applications to Prediction in Oncogenomics
Aligerová, Zuzana ; Maděránková, Denisa (referee) ; Provazník, Ivo (advisor)
Náplní této práce je teoretický úvod a následné praktické zpracování tématu Molekulární signatura jako optimální multi-objektivní funkce s aplikací v predikci v onkogenomice. Úvodní kapitoly jsou zaměřeny na téma rakovina, zejména pak rakovina prsu a její podtyp triple negativní rakovinu prsu. Následuje literární přehled z oblasti optimalizačních metod, zejména se zaměřením na metaheuristické metody a problematiku strojového učení. Část se odkazuje na onkogenomiku a principy microarray a také na statistiku a s důrazem na výpočet p-hodnoty a bimodálního indexu. Praktická část je pak zaměřena na konkrétní průběh výzkumu a nalezené závěry, vedoucí k dalším krokům výzkumu. Implementace vybraných metod byla provedena v programech Matlab a R, s využitím dalších programovacích jazyků a to konkrétně programů Java a Python.
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Analysis of Various Approaches to Solving Optimization Tasks
Knoflíček, Jakub ; Samek, Jan (referee) ; Zbořil, František (advisor)
This paper deals with various approaches to solving optimization tasks. In prolog some examples from real life that show the application of optimization methods are given. Then term optimization task is defined and introducing of term fitness function which is common to all optimization methods follows. After that approaches by particle swarm optimization, ant colony optimization, simulated annealing, genetic algorithms and reinforcement learning are theoretically discussed. For testing we are using two discrete (multiple knapsack problem and set cover problem) and two continuous tasks (searching for global minimum of Ackley's and Rastrigin's function) which are presented in next chapter. Description of implementation details follows. For example description of solution representation or how current solutions are changed. Finally, results of measurements are presented. They show optimal settings for parameters of given optimization methods considering test tasks. In the end are given test tasks, which will be used for finding optimal settings of given approaches.
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