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Modelování profilů rychlosti větru naměřených sodarem v komplexním terénu
Hošek, Jiří
The wind profiles with two Doppler sodars were measured in wide range of synoptic situations in Ore mountains (Erzgebirge) and in the region of Orlické hory (mountains), both in the Czech republic. Ore mountains represent the region most suitable for construction of wind turbines in the Czech republic. Concerning the observed wind profiles, their generalization may serve for improvement of precision of the simulated wind profile fields. In the second part of the work, we performed the modelling of wind speed profiles in the complex terrain of above-mentioned mountain ranges. We have applied the non-hydrostatic meso-scale models KAMM and PIAP. The numerical simulations with the models were performed for different situations of the ambient flow, described by geostrophic wind speed and direction, and temperature stratification.
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Volumetric model of human vocal folds
Vampola, T. ; Horáček, Jaromír
The article describes the vollumetric 3D FE model of real human vocal folds in a defined phonation position. The model was developed from the CT images of the plaster casts obtained by a special procedure during experiments with the excised human larynges, when the phonatioon caused by the airflow was suddenly stopped without changing the position of the fixed larynx. The model is determined for studies of dynamical stresses in the vocal fold tissue during vocal folds collisions.
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Computational analysis of the dynamic behavior of the thrust bearings
Žatko, Miroslav ; Kos, Pavel (referee) ; Malenovský, Eduard (advisor)
This master´s thesis solves the problem of stationary viscous flow of incompressible fluids in thin layers of fluid film lubrication in fixed pad thrust bearings. The parametric computational model of oil domain was created for investigation the distribution of pressure, velocity and thermal fields together with the determination of the basic parameters as axial force, heating up and friction loss. Subsequently this model was applied for investigation influence of uneven bearing clearance. The problem task was solved by final volume method in Ansys CFX 12.0 software.
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Participative management – key to minimaze conflicts between protection of biodiversity and socio-economic development of local communities
Těšitel, Jan ; Kušová, Drahomíra ; Matějka, K. ; Boháč, J. ; Bartoš, Michael ; Kopáčková, M. ; Moravcová, Jana ; Šrubař, Vladan
The project was aimed to propose a model of optimal coexistence of biodiversity protection and socio-economic development in large-scale protected areas. Its main output was identification of principles of participative management of protected areas and estimation of circumstances necessary for its practical implementation. The project focused on description of biodiversity in particular model areas, on eventuality of changes in biodiversity due to human activities and thus on identification of actual and potential conflicts. In parallel, selected parameters of quality of life of local population, behaviour the population and its relation to the Administration of protected area and to nature protection in general were studied. Analysis of behaviour of the administration of protected areas as social institution became also part of the project. The project was designed as empirical comparative study of three biosphere reserves (BR) - BR Šumava, BR Třeboňsko a BR Křivoklátsko.
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Modelling of flow over a backward-facing step in streams with various turbulence level
Příhoda, Jaromír ; Sedlář, M.
Turbulent flow over a backward-facing step in streams with a various turbulence level was numerically simulated using software ANSYS CFX-5. Numerical solution carried on with the two-equation SST model and/or with a k-omega based Reynolds stress model was compared with experimental data obtained for three different values of free-stream turbulence level. The predicted length of the recirculation region corresponds well with experimental data but the dependence of the ratio xr/h on free-stream turbulence level is smaller.
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Numerické řešení sdílení tepla v proudu dopadajícím na stěnu
Kozel, K. ; Louda, Petr ; Příhoda, Jaromír
The paper deals with the numerical solution of 3D impinging turbulent jet cooling a weakly heated wall. The solution was carried out using the SST model and/or an explicit algebraic Reynolds stress model and completed by a generalized gradient-diffusion hypothesis for modelling of turbulent heat flux. While the EARSM model gives good results for the velocity field, all used models overestimate heat transfer in the impingement region.
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Atomistické simulace uspořádávání v niklových slitinách pod vlivem mechanického napětí
Buršík, Jiří
Systems containing up to six alloing elements typical of advanced Ni-based superalloys were modelled.their ordering was simulated at atomic level using a Monte Carlo approach with púeriodic boundary conditions and Kawasaki dynamics.molecular dynamics routines were embedded into standard kinetic Ising model to account for relaxing of local atomic positions.Straining computer experiments show that elastic parameters and bulk modulus undergo comparatively large changes at the beginning of ordering process.
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Analysis of a heat loss of passive manikin
Kodajková, Zuzana ; Krejčí, Vladimír (referee) ; Forman, Matěj (advisor)
This thesis is about problematics of creating Computational Fluid Dynamics (CFD) model suited for analysis of airflow around sitting passive person. Thesis includes analysis of velocity field distribution, thermal distribution and thermal losses in the surroundings of sitting thermal dummy (computational model) and comparison of these values with experimental measurements. Thesis is a part of large experimental research (this research is not included here) focused on creating of functional method used for person-surrounding airflow analysis in future commercial use.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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