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Stochastic discrete modeling of progressive damage of concrete structures
Kučera, Michal ; Sadílek, Václav (referee) ; Vořechovský, Miroslav (advisor)
The work focuses on the use of deterministic discrete modeling with representation of spatial randomness in material parameters to simulate a series of experimental tests of concrete specimens in the shape of a dog bone, loaded in excentric uniaxial tension. The main focus is on the influence of the size of the structure on its mechanical properties, especially nominal strength (Size effect). The specimens are modeled as a plane stress problem using available discrete computational methods.
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Stochastic Modeling of Data Sets
Orgoník, Svetoslav ; Michálek, Jaroslav (referee) ; Karpíšek, Zdeněk (advisor)
Master's thesis is focused on implementing modern statistical methods for fitting propability distribution using kernel estimates with regard to the possibilities of their implementation on the PC and the application of specic data sets. Master's thesis is a part of project from MSMT of the Czech Republic no. 1M06047 Center for Quality and Reliability of Production.
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Stochastic discrete modeling of progressive damage in concrete structures
Kučera, Michal ; Sadílek, Václav (referee) ; Vořechovský, Miroslav (advisor)
The work focuses on the statistical strength of structures made of quasi-brittle ma- terials, specifically concrete. Special attention is paid to the influence of the size of the structure on strength and on the entire process of material failure during loading. The mechanics of these processes are modeled using discrete models, and these models are also considered in a probabilistic variant with spatially variable material parameters. Spatial variability is then modeled using random fields. The work clarifies the effect of diffuse damage in the volume of the structure before reaching the maximum load on the further course of dissipative processes, especially on the shape of the fracture process zone and subsequently on its interaction with the random variability of material parame- ters in eccentrically drawn dogbone-shaped bodies. In addition to the tools of stochastic computer fracture mechanics, an analytical model based on averaging and subsequent analysis of the minimum of the random field is presented
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Stochastic discrete modeling of progressive damage of concrete structures
Kučera, Michal ; Sadílek, Václav (referee) ; Vořechovský, Miroslav (advisor)
The work focuses on the use of deterministic discrete modeling with representation of spatial randomness in material parameters to simulate a series of experimental tests of concrete specimens in the shape of a dog bone, loaded in excentric uniaxial tension. The main focus is on the influence of the size of the structure on its mechanical properties, especially nominal strength (Size effect). The specimens are modeled as a plane stress problem using available discrete computational methods.
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Modelling population structure and their changes: Neolithic demographic transition in Central Europe.
Galeta, Patrik ; Brůžek, Jaroslav (advisor) ; Černý, Viktor (referee) ; Fialová, Ludmila (referee)
Neolithic dispersal in Europe has been alternatively explained through spread of farmers (migrationist position) or by adoption of farming by Mesolithic foragers (indigenist position). Mixed explanations have considered a combination of both processes. Neolithic dispersal in Central Europe was traditionally viewed as migrationist process. It was believed that farmers colonized the area and replaced indigenous foragers. During the last decade, authors have adhered to integrationist view as they have observed the continuity between Mesolithic and Neolithic technologies. Interestingly, the most recent genetic analyses again invoked the idea of colonization. Surprisingly, little attention has been paid to demographic modeling. The farming quickly spread in Central Europe between 5 600 and 5 400 calBC. Assuming colonization, Neolithic dispersal in Central Europe would have to be associated with high fertility rate of farmers. Our goal was to test whether the fertility rate of farmers was high enough to allow them to colonize Central Europe without admixture with local foragers. We produced four stochastic models of population dynamics of farmers during their colonization in Central Europe. The principle of Model 1-3 is based on methods of population projections. Model 4 stems from the wave of advance...
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Stochastic Modeling of Data Sets
Orgoník, Svetoslav ; Michálek, Jaroslav (referee) ; Karpíšek, Zdeněk (advisor)
Master's thesis is focused on implementing modern statistical methods for fitting propability distribution using kernel estimates with regard to the possibilities of their implementation on the PC and the application of specic data sets. Master's thesis is a part of project from MSMT of the Czech Republic no. 1M06047 Center for Quality and Reliability of Production.
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