Thesis ()--University of Washington, 1996. / Vita. Includes bibliographical references (leaves [89]-99).

Universiẗat, Diss., 2002--München.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. Description based on print version record. Includes bibliographical references.

Thesis (M.S.)--University of Missouri, School of Mines and Metallurgy, 1949. / Vita. The entire thesis text is included in file. Typescript. Title from title screen of thesis/dissertation PDF file (viewed June 30, 2010) Includes bibliographical references (p. 40).

Thesis (M.M.) Florida State University, 2006. / Advisor: Jayne Standley, Florida State University, College of Music. Title and description from dissertation home page (viewed 7-13-07). Document formatted into pages; contains 51 pages. Includes biographical sketch. Includes bibliographical references.

Th.--Sci. phys.--Clermont-Ferrand 2, 1977. N°: 233.

The development of two original Monte Carlo models of solvent diffusion into a polymer is described. Employing a coarse grained model of a polymer solution on a regular lattice, the dynamic properties of both the solvent and polymer molecules can be observed. The "Simple" Monte Carlo model reliably reproduces Case I dynamics, but no departure from this is seen for any reasonable model parameters. This "Simple" Monte Carlo model is unable to reproduce Case II diffusion dynamics. One reason for this is that in this Monte Carlo model the processes of solvent diffusion and polymer relaxation are entirely independent processes. In this thesis it is suggested that a simple Monte Carlo model of this type will always produce Case I diffusion dynamics. The dynamic algorithm described in this work relies on simple instantaneous molecular motions between neighbouring lattice sites. It is shown that a diffusion process based on these motions is purely concentration dependent, relying only on the current state of the system. To use the Monte Carlo method to simulate Case II diffusion dynamics, the diffusion process is made time dependent by incorporating a history dependent model of diffusion first proposed by Crank (CRANK 1953). In this "History Dependent" Monte Carlo model the motions of both the solvent and the polymer are no longer instantaneous, but occur at a rate that approaches equilibrium by a first order process governed by a relaxation time characteristic of the viscoelastic relaxation of the polymer. This "History Dependent" Monte Carlo model successfully simulates most of the features of Case II diffusion and also demonstrates a return to Case I diffusion in the limit of long times. Unlike many models of Case II diffusion, this Monte Carlo model is able to simultaneously model the microscopic motions of both the solvent and the polymer molecules. This novel feature demonstrates the formation of a discontinuous moving boundary between the rubbery polymer and the glassy polymer that is typical of Case II diffusion dynamics.

L’objectif de ce travail est la prédiction numérique d’écoulements turbulents avec transfert thermique dans des cavités ventilées à l’aide d’un modèle à relaxation elliptique. Cette approche dite v² -f a été intuitivement proposée pour la modélisation de la turbulence en proche paroi. Pour mener à bien cette étude, les investigations numériques ont été mise en oeuvre sur trois configurations et validées en s’appuyant sur les résultats expérimentaux disponibles et des résultats numériques issus des modèles k -[epsilon] RNG de Yakhot & Orszag, le modèle k -[omega] SST de Menter et le modèle à contraintes de Reynolds (RSM). L’analyse et la confrontation des résultats obtenus permettent de constater que le modèle de relaxation elliptique présente une meilleure prédiction pour les champs thermique et aéraulique avec un temps de calcul raisonnable. Ensuite, les comparaisons des indices du confort thermique entre les modèles de turbulence et l’expérience nous confortent dans l’idée que le modèle v² -f est un bon candidat pour la prédiction du confort thermique dans les cavités ventilées. / The aim of this work is to predict numerically turbulent airflow with heat transfer in indoor environment using an elliptic relaxation model. This approach named v² -f has been proposed for modelling near-wall turbulence. In this study, numerical investigations have been carried out in three configurations and validated on available experimental data and numerical results from the models considered, k -[epsilon]RNG model of Yakhot & Orszag, k -[omega] SST model of Menter and Reynolds stress model. The analysis and comparison of results obtained shows that the v² -f model provides a better prediction for the velocity fields and temperature fields with a reasonable computational time. All comparisons of thermal comfort indices suggest that

The present study directly contrasted the efficacy of biofeedback-assisted cue-controlled relaxation, biofeedback-assisted metronome -conditioned relaxation, and both procedures combined via one physiological and one subjective measure of relaxation under no-stress and stress conditions.

The thesis introduces a new version of an elliptic-blending low-Reynolds-number eddy-viscosity Reynolds-averaged Navier Stokes model. It is a model intended to be implemented in an industrial solver. It will be argued that there is still room for such a simple model, though eddy-viscosity models must rely on developments specificallymade for higher order formulations. It is the aim of the v2-f model to integrate elements of Reynolds-stress modelling developments into a simpler formulation, but the former paradoxically suffers from numerical stiffness, which kept it out of reachof industry researchers everyday simulations. The v2-f formulation endeavours to reproduce the near-wall asymptotic behaviour of the turbulent quantities, as sounder alternative to empirical damping functions, and the required near-wall balance of small terms represents a numerical challenge. The present work first provides a comprehensive review of v2-f developments proposed over the past twenty years, and the different remedies for the numericalstiffness linked to the original formulation. The review focuses on ten v2-f variants, proposed between 1991 and 2006, whose behaviour is compared in some fundamental flows: the channel flow for five different Reynolds numbers, the asymptotic case of the logarithmic layer at infinite Reynolds number and the case of a flow with homogeneous sheared turbulence. Based on the conclusions of the review, the thesis proposes new developments. Firstly, the derivation of a new model, namely the φ - α model, is introduced. It relies on the resolution of two non-dimensional variables: φ represents the wall-normal anisotropy and α is a wall-proximity sensor. It is argued that only this formulation can address the numerical problems already mentioned without altering the predictions. Secondly, additional upgrades of the φ - α model are proposed to correct the dissipation rate equation. The aim is to improve the model behaviour in some specific regions of a boundary layer, by isolating some viscous terms and by improving the representation of turbulent transport at the edge of a boundary layer. Final developments are combined in a new model, the BL-v2/k model. The φ - α and BL-v2/k models are then validated for a set of two pressure induced separated flows and two buoyant flows, and beneficial effects of the proposed developments on the predictions are demonstrated. The numerical properties of the convergency of the BL-v2/k model are also reported at the end of this work.