Master´s thesis deals with creating planar computational model of human folds, involving fluid-structure interaction. With this model, the influence of changes in vocal folds tissue layers (stiffness, thickness) and their effects on the videokymograph image are studied. Analysis of the results also deals with the evaluation of pressure at selected points below, between and above the vocal folds. The results indicate a possible similarity with the behavior of human vocal folds with pathology. Background research of vocal folds function, an overview of vocal folds pathology and summary of computational models are included.

Dissertation summarizes the results of computational and experimental modeling in the field of biomechanics engineering. Analyses are focused on selected variables that complement or can supplement existing methods of prediction of bone fractures. In terms of computational modeling the variables are based on stress strain analysis. The greater part of the work has been aimed on experimental modeling which is used for monitoring the two dominant components of bone tissue, which are minerals and collagen fibers. The current most widely used variable for the description of bone loss (osteopenia, osteoporosis) is areal bone mineral density (BMD). This variable does not however provide any information about the change in total volume consequently change of mineral and collagen. Proposed mechanical values follow the loss of the two components during simulation of minerals loss (demineralization) and simulation of collagen loss (deproteinization) in vitro for long turkey bones

The thesis deals with computational modelling of heavy duty off-road vehicle driveline components. The thesis is divided to two main parts. The first part deals about modal analysis of selected driveline components. MBS computational study was performed based on modal analysis results. The second part of thesis deals with experimental verification of computational model. Pass-by noise and vibration measurement was performed. Measured signals were processed in frequency domain to find noise and vibration sources.

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<p>Mathematical and computational modeling allow for the rationalization of complex phenomenon observed in our reality. Through the careful selection of assumptions, the intractable task of simulating reality can be reduced to the simulation of a practical system whose behavior can be replicated. The development of computational models allow for the full comprehension of the defined system, and the model itself can be used to evaluate the results of thousands of simulate experiments to aid in the rational design process.</p> <p>Biomedical engineering is the application of engineering principles to the field of medicine and biology. This discipline is composed of numerous diverse subdisciplines that span from genetic engineering to biomechanics. Each of these subdisciplines is concerned with its own complex and seemingly chaotic systems, whose behavior is difficult to characterize. The development and application of computational modeling to rationalize these systems is often necessary in this field and will be the focus of this thesis.</p> <p>This thesis is centered on the development and application of mathematical and computational modeling in three diverse systems in biomedical engineering. First, computational modeling is employed to investigate the behavior of key proteins in the post-synapse centered around learning and memory. Second, computational modeling is utilized to characterize the drug release rate from implantable drug delivery depots, and produce a tool to aid in the tailoring of the release rate. Finally, computational modeling is utilized to understand the motion of particles through an inertial focusing microfluidics chip and optimize the size selective capture efficiency.</p> <p> </p>

[pt] Modelagem de canais turbidíticos é um tema muito presente nas pesquisas da extração do petróleo. O desafio encontra-se em elaborar formas de extração e identificação desses canais em uma superfície pré-determinada. De outro lado, tem-se a sísmica que pode gerar, no resultado final da captação, listas de probabilidades do acúmulo de hidrocarbonetos desta superfície. Unindo estes assuntos, o objetivo deste trabalho é criar um modelo de extração de canais turbidíticos a partir de superfícies interpretadas pela sísmica, utilizando técnicas computacionais e, em particular, um algoritmo de erosão volumétrica. Além do modelo final proposto nesta pesquisa, uma contribuição foi agregar uma particularidade probabilística do dado 3D, em estudo, no algoritmo de erosão utilizado. / [en] Turbidite channels modeling is a very present theme in oil extraction research. The challenge lies in elaborating ways of extracting and identifying these channels on a predetermined surface. On the other hand, seismic data can generate, in the final result of the capture, lists of probabilities of the accumulation of hydrocarbons on this surface. Bringing these subjects together, the objective of this work is to create a model for the extraction of turbiditic channels from surfaces interpreted by Seismic, using computational techniques and, in particular, a volumetric erosion algorithm. In addition to the proposed model in this research, one contribution was to add a probabilistic particularity of the 3D data in the erosion algorithm used.

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