Cette thèse de doctorat est consacrée à l’étude analytique et numérique de systèmes de polymères et de fibres à deux dimensions. Des systèmes de polymères confinés en films ultra-minces présentent un très grand intérêt technologique et expérimentale et posent de nombreux défis théoriques en raison de leur fort comportement non-champ moyen qui se manifeste par divers exposants critiques non triviaux. Nous nous concentrons sur la limite strictement 2D où le croisement des chaînes est interdit et nous étudions, en fonction de la densité et de la rigidité des chaînes, les propriétés élastiques et conformationnelles de trois classes de systèmes: polymères flexibles et semi flexibles à température finie et polymères macroscopiques athermiques (fibres) à courbure spontanée imposée. Pour les polymères flexibles, il est démontré que bien que les polymères auto-évitant denses adoptent des configurations compactes avec un exposant de Flory ν = 1/2, ils ne se comportent pas comme des chaines gaussiennes. En particulier un exposant de contact non-nul θ2 = 3/4 implique une dimension fractale de périmètre dp = 5/4. Par conséquence, en accord avec la loi généralisée de Porod, le facteur de structure intramoléculaire F(q) révèle un comportement non-gaussien et la température de démixion des mélanges de polymères 2D devrait être réduite. Nous étudions également les effets de la rigidité des chaînes sur les systèmes de polymères à 2D et constatons que le comportement universel n’est pas modifié lorsque la longueur de persistance est beaucoup plus petite que la longueur de confinement. La nature de la transition de phase nématique à haute rigidité, qui est dans le cas 2D l’objet d’un débat de longue date, est également explorée. Des résultats préliminaires semblent indiquer une transition du premier ordre. Enfin, motivés par un travail théorique récent sur les modules élastiques de faisceaux de fibres, nous étudions les effets de la courbure spontanée sur l’élasticité d’ensembles de fibres. Nous montrons que en jouant sur le désordre des amplitudes des modes de Fourier de l’état fondamental il est possible de régler le module de compression, en accord qualitatif avec la théorie. / This PhD thesis is devoted to a theoretical study of polymer and ’polymer like’ systems in strictly two dimensions. Polymer systems in reduced dimensions are of high experimental and technological interest and present theoretical challenges due to their strong non-mean-field-like behavior manifested by various non-trivial universal power law exponents. We focus on the strictly 2D limit where chain crossing is forbidden and study as function of density and of chain rigidity conformational and elastic properties of three system classes: flexible and semiflexible polymers at finite temperature and macroscopic athermal polymers (fibers) with imposed quenched curvature. For flexible polymers it is shown that although dense self-avoiding polymers are segregated with Flory exponent ν = 1/2 , they do not behave as Gaussian chains. In particular a non-zero contact exponent θ2 = 3/4 implies a fractal perimeter dimension of dp = 5/4. As a consequence and in agreement with the generalized Porod law, the intramolecular structure factor F(q) reveals a non-Gaussian behavior and the demixing temperature of 2D polymer blends is expected to be reduced. We also investigate the effects of chain rigidity on 2D polymer systems and found that universal behavior is not changed when the persistence length is not too large compared to the semidilute blob size. The nature of the nematic phase transition at higher rigidities, which is in the 2D case the subject of a long standing debate, is also briefly explored. Preliminary results seem to indicate a first order transition. Finally, motivated by recent theoretical work on elastic moduli of fiber bundles, we study the effects of spontaneous curvature at zero temperature. We show that by playing on the disorder of the Fourier mode amplitudes of the ground state, it is possible to tune the compression modulus, in qualitative agreement with theory.

This PhD thesis is devoted to a theoretical study of polymer and 'polymer like' systems in strictly two dimensions. Polymer systems in reduced dimensions are of high experimental and technological interest and present theoretical challenges due to their strong non-mean-field-like behavior manifested by various non-trivial universal power law exponents. We focus on the strictly 2D limit where chain crossing is forbidden and study as function of density and of chain rigidity conformational and elastic properties of three system classes: flexible and semiflexible polymers at finite temperature and macroscopic athermal polymers (fibers) with imposed quenched curvature. For flexible polymers it is shown that although dense self-avoiding polymers are segregated with Flory exponent ν = 1/2 , they do not behave as Gaussian chains. In particular a non-zero contact exponent θ2 = 3/4 implies a fractal perimeter dimension of dp = 5/4. As a consequence and in agreement with the generalized Porod law, the intramolecular structure factor F(q) reveals a non-Gaussian behavior and the demixing temperature of 2D polymer blends is expected to be reduced. We also investigate the effects of chain rigidity on 2D polymer systems and found that universal behavior is not changed when the persistence length is not too large compared to the semidilute blob size. The nature of the nematic phase transition at higher rigidities, which is in the 2D case the subject of a long standing debate, is also briefly explored. Preliminary results seem to indicate a first order transition. Finally, motivated by recent theoretical work on elastic moduli of fiber bundles, we study the effects of spontaneous curvature at zero temperature. We show that by playing on the disorder of the Fourier mode amplitudes of the ground state, it is possible to tune the compression modulus, in qualitative agreement with theory.

Nesta tese estudamos um modelo de spins do tipo Ising, modelo J1 J2, com interações competitivas J1 ferromagnéticas entre primeiros vizinhos na rede quadrada e J2 antiferromagnética entre segundos vizinhos. O diagrama de fases do modelo e as correlações de pares foram analisadas com o Método do Aglomerado Variacional nos casos sem e com um campo magnético externo. A campo nulo, construímos o diagrama de fases no plano T=J1 onde = jJ2j=J1. A transição ferromagnética-paramagnética é de segunda ordem quando < 1=2 e a transição stripes-paramagnética de primeira ordem para 1=2 < < 1 e de segunda ordem para valores de 1. Nossos resultados concordam com prévios estudos. Ao aplicarmos um campo magnético externo ao sistema, em regiões onde a campo nulo se observa a fase de stripes ( = 0:6 e = 1), as filas (ou colunas) de spins paralelos ao campo externo ganham estabilidade dando lugar a uma fase de stripes mista com magnetizações nas filas e colunas com magnitudes diferentes. A campos maiores, o sistema se encontra numa fase homogênea com uma magnetização remanente, a fase paramagnética saturada. Na interfase entre a fase de stripes e a paramagnética saturada, encontramos uma fase intermediária nemática do tipo Ising. Esta fase possui uma magnetização homogênea e correlações de pares anisotrópicas nas direções x e y quantificadas por um parâmetro de ordem orientacional. A fase nemática tem sido observada principalmente em sistemas com interações competitivas de longo alcance. O uso do Método do Aglomerado Variacional na aproximação de quatro pontos permitiu detectá-la no modelo J1 J2 clássico. A presença da fase nemática intermediária foi confirmada em simulações de Monte Carlo. As transições stripes-paramagnética saturada e stripes-nemática são de primeira ordem e a transição nemática-paramagnética saturada é uma transição de segunda ordem de acordo com a análise da energia livre. Na segunda parte do nosso estudo, calculamos o fator de estrutura na aproximação de quatro pontos do Método do Aglomerado Variacional válido tanto nas fases desordenada como ordenadas no modelo sem e com campo magnético. A partir desta análise, determinamos as linhas de estabilidade para a fase paramagnética no modelo sem campo e também mostramos a existência destas linhas na solução de stripes. No modelo com campo, estudamos o fator de estrutura e a susceptibilidade reduzida para = 0:6 e diferentes temperaturas. A susceptibilidade é descontínua nas transições stripes-paramagnética saturada e stripes-nemática compatível com uma transição de primeira ordem. Por sua vez, na transição nemática-paramagnética saturada de segunda ordem se observa um máximo em uma das componentes da susceptibilidade no espaço recíproco e um câmbio da simetria Z2 para a Z4 no fator de estrutura. / In this thesis, we studied a Ising model, the J1 J2 model, with nearest neighbors ferromagnetic interactions J1 and next-nearest antiferromagnetic neighbors interactions J2. The phase diagram and the pair correlations were analyzed with the Cluster Variation Method, with and without an external magnetic field. At zero field, we build the phase diagram in the plane T=J1 where = jJ2j=J1. The ferromagnetic-paramagnetic phase transition is a second order one at < 1=2. The stripes-paramagnetic is a first order transition when 1=2 < < 1 and second order for values bigger than one. Our results are in agreement with previous works. Applying an external magnetic field to the system, in regions where the ground state is stripes ( = 0:6 e = 1), the columns (or rows) of parallel spins to the field gain stability given place to a mixed phase with columns (or rows) magnetization with different magnitudes. At higher fields, the systems enters in a homogeneous phase with a remanent magnetization, the saturated paramagnetic phase. In the interface between the stripes and saturated paramagnetic phase we found a intermediate phase, the Ising-nematic. This phase has a homogeneous magnetization and anisotropic nearest-neighbor correlations in the directions x and y quantified by a orientacional order parameter. The nematic phase has been observed in systems with long range interactions. The Cluster Variation Method (CVM) in the four site approximation detected the nematic phase in the classical J1 J2 model. These results were confirmed by Monte Carlo simulations. The stripes-saturated paramagnetic and stripes-nematic transitions are found to be first order transitions. The nematic-saturated paramagnetic is of second order according to free energy analysis. In the second part, we computed the structure factor in the four-site approximation of the CVM. This expression is valid for order and disorder phases, with or without a magnetic field. Through this analysis we found the paramagnetic stability lines in the model at zero magnetic field, we also showed the existence of spinodal temperature for stripes solutions. In the model with a magnetic field, we studied the structure factor and susceptibility for = 0:6 and different temperatures. A discontinuity in susceptibility was observed in the stripes-saturated paramagnetic and stripes-nematic transitions compatible with a first order transition. In the nematic-saturated paramagnetic second order transition we found a maximum in one of the susceptibility components and a change of the Z2 symmetry to the Z4 in the structure factor.

Nesta tese estudamos um modelo de spins do tipo Ising, modelo J1 J2, com interações competitivas J1 ferromagnéticas entre primeiros vizinhos na rede quadrada e J2 antiferromagnética entre segundos vizinhos. O diagrama de fases do modelo e as correlações de pares foram analisadas com o Método do Aglomerado Variacional nos casos sem e com um campo magnético externo. A campo nulo, construímos o diagrama de fases no plano T=J1 onde = jJ2j=J1. A transição ferromagnética-paramagnética é de segunda ordem quando < 1=2 e a transição stripes-paramagnética de primeira ordem para 1=2 < < 1 e de segunda ordem para valores de 1. Nossos resultados concordam com prévios estudos. Ao aplicarmos um campo magnético externo ao sistema, em regiões onde a campo nulo se observa a fase de stripes ( = 0:6 e = 1), as filas (ou colunas) de spins paralelos ao campo externo ganham estabilidade dando lugar a uma fase de stripes mista com magnetizações nas filas e colunas com magnitudes diferentes. A campos maiores, o sistema se encontra numa fase homogênea com uma magnetização remanente, a fase paramagnética saturada. Na interfase entre a fase de stripes e a paramagnética saturada, encontramos uma fase intermediária nemática do tipo Ising. Esta fase possui uma magnetização homogênea e correlações de pares anisotrópicas nas direções x e y quantificadas por um parâmetro de ordem orientacional. A fase nemática tem sido observada principalmente em sistemas com interações competitivas de longo alcance. O uso do Método do Aglomerado Variacional na aproximação de quatro pontos permitiu detectá-la no modelo J1 J2 clássico. A presença da fase nemática intermediária foi confirmada em simulações de Monte Carlo. As transições stripes-paramagnética saturada e stripes-nemática são de primeira ordem e a transição nemática-paramagnética saturada é uma transição de segunda ordem de acordo com a análise da energia livre. Na segunda parte do nosso estudo, calculamos o fator de estrutura na aproximação de quatro pontos do Método do Aglomerado Variacional válido tanto nas fases desordenada como ordenadas no modelo sem e com campo magnético. A partir desta análise, determinamos as linhas de estabilidade para a fase paramagnética no modelo sem campo e também mostramos a existência destas linhas na solução de stripes. No modelo com campo, estudamos o fator de estrutura e a susceptibilidade reduzida para = 0:6 e diferentes temperaturas. A susceptibilidade é descontínua nas transições stripes-paramagnética saturada e stripes-nemática compatível com uma transição de primeira ordem. Por sua vez, na transição nemática-paramagnética saturada de segunda ordem se observa um máximo em uma das componentes da susceptibilidade no espaço recíproco e um câmbio da simetria Z2 para a Z4 no fator de estrutura. / In this thesis, we studied a Ising model, the J1 J2 model, with nearest neighbors ferromagnetic interactions J1 and next-nearest antiferromagnetic neighbors interactions J2. The phase diagram and the pair correlations were analyzed with the Cluster Variation Method, with and without an external magnetic field. At zero field, we build the phase diagram in the plane T=J1 where = jJ2j=J1. The ferromagnetic-paramagnetic phase transition is a second order one at < 1=2. The stripes-paramagnetic is a first order transition when 1=2 < < 1 and second order for values bigger than one. Our results are in agreement with previous works. Applying an external magnetic field to the system, in regions where the ground state is stripes ( = 0:6 e = 1), the columns (or rows) of parallel spins to the field gain stability given place to a mixed phase with columns (or rows) magnetization with different magnitudes. At higher fields, the systems enters in a homogeneous phase with a remanent magnetization, the saturated paramagnetic phase. In the interface between the stripes and saturated paramagnetic phase we found a intermediate phase, the Ising-nematic. This phase has a homogeneous magnetization and anisotropic nearest-neighbor correlations in the directions x and y quantified by a orientacional order parameter. The nematic phase has been observed in systems with long range interactions. The Cluster Variation Method (CVM) in the four site approximation detected the nematic phase in the classical J1 J2 model. These results were confirmed by Monte Carlo simulations. The stripes-saturated paramagnetic and stripes-nematic transitions are found to be first order transitions. The nematic-saturated paramagnetic is of second order according to free energy analysis. In the second part, we computed the structure factor in the four-site approximation of the CVM. This expression is valid for order and disorder phases, with or without a magnetic field. Through this analysis we found the paramagnetic stability lines in the model at zero magnetic field, we also showed the existence of spinodal temperature for stripes solutions. In the model with a magnetic field, we studied the structure factor and susceptibility for = 0:6 and different temperatures. A discontinuity in susceptibility was observed in the stripes-saturated paramagnetic and stripes-nematic transitions compatible with a first order transition. In the nematic-saturated paramagnetic second order transition we found a maximum in one of the susceptibility components and a change of the Z2 symmetry to the Z4 in the structure factor.

Nesta tese estudamos um modelo de spins do tipo Ising, modelo J1 J2, com interações competitivas J1 ferromagnéticas entre primeiros vizinhos na rede quadrada e J2 antiferromagnética entre segundos vizinhos. O diagrama de fases do modelo e as correlações de pares foram analisadas com o Método do Aglomerado Variacional nos casos sem e com um campo magnético externo. A campo nulo, construímos o diagrama de fases no plano T=J1 onde = jJ2j=J1. A transição ferromagnética-paramagnética é de segunda ordem quando < 1=2 e a transição stripes-paramagnética de primeira ordem para 1=2 < < 1 e de segunda ordem para valores de 1. Nossos resultados concordam com prévios estudos. Ao aplicarmos um campo magnético externo ao sistema, em regiões onde a campo nulo se observa a fase de stripes ( = 0:6 e = 1), as filas (ou colunas) de spins paralelos ao campo externo ganham estabilidade dando lugar a uma fase de stripes mista com magnetizações nas filas e colunas com magnitudes diferentes. A campos maiores, o sistema se encontra numa fase homogênea com uma magnetização remanente, a fase paramagnética saturada. Na interfase entre a fase de stripes e a paramagnética saturada, encontramos uma fase intermediária nemática do tipo Ising. Esta fase possui uma magnetização homogênea e correlações de pares anisotrópicas nas direções x e y quantificadas por um parâmetro de ordem orientacional. A fase nemática tem sido observada principalmente em sistemas com interações competitivas de longo alcance. O uso do Método do Aglomerado Variacional na aproximação de quatro pontos permitiu detectá-la no modelo J1 J2 clássico. A presença da fase nemática intermediária foi confirmada em simulações de Monte Carlo. As transições stripes-paramagnética saturada e stripes-nemática são de primeira ordem e a transição nemática-paramagnética saturada é uma transição de segunda ordem de acordo com a análise da energia livre. Na segunda parte do nosso estudo, calculamos o fator de estrutura na aproximação de quatro pontos do Método do Aglomerado Variacional válido tanto nas fases desordenada como ordenadas no modelo sem e com campo magnético. A partir desta análise, determinamos as linhas de estabilidade para a fase paramagnética no modelo sem campo e também mostramos a existência destas linhas na solução de stripes. No modelo com campo, estudamos o fator de estrutura e a susceptibilidade reduzida para = 0:6 e diferentes temperaturas. A susceptibilidade é descontínua nas transições stripes-paramagnética saturada e stripes-nemática compatível com uma transição de primeira ordem. Por sua vez, na transição nemática-paramagnética saturada de segunda ordem se observa um máximo em uma das componentes da susceptibilidade no espaço recíproco e um câmbio da simetria Z2 para a Z4 no fator de estrutura. / In this thesis, we studied a Ising model, the J1 J2 model, with nearest neighbors ferromagnetic interactions J1 and next-nearest antiferromagnetic neighbors interactions J2. The phase diagram and the pair correlations were analyzed with the Cluster Variation Method, with and without an external magnetic field. At zero field, we build the phase diagram in the plane T=J1 where = jJ2j=J1. The ferromagnetic-paramagnetic phase transition is a second order one at < 1=2. The stripes-paramagnetic is a first order transition when 1=2 < < 1 and second order for values bigger than one. Our results are in agreement with previous works. Applying an external magnetic field to the system, in regions where the ground state is stripes ( = 0:6 e = 1), the columns (or rows) of parallel spins to the field gain stability given place to a mixed phase with columns (or rows) magnetization with different magnitudes. At higher fields, the systems enters in a homogeneous phase with a remanent magnetization, the saturated paramagnetic phase. In the interface between the stripes and saturated paramagnetic phase we found a intermediate phase, the Ising-nematic. This phase has a homogeneous magnetization and anisotropic nearest-neighbor correlations in the directions x and y quantified by a orientacional order parameter. The nematic phase has been observed in systems with long range interactions. The Cluster Variation Method (CVM) in the four site approximation detected the nematic phase in the classical J1 J2 model. These results were confirmed by Monte Carlo simulations. The stripes-saturated paramagnetic and stripes-nematic transitions are found to be first order transitions. The nematic-saturated paramagnetic is of second order according to free energy analysis. In the second part, we computed the structure factor in the four-site approximation of the CVM. This expression is valid for order and disorder phases, with or without a magnetic field. Through this analysis we found the paramagnetic stability lines in the model at zero magnetic field, we also showed the existence of spinodal temperature for stripes solutions. In the model with a magnetic field, we studied the structure factor and susceptibility for = 0:6 and different temperatures. A discontinuity in susceptibility was observed in the stripes-saturated paramagnetic and stripes-nematic transitions compatible with a first order transition. In the nematic-saturated paramagnetic second order transition we found a maximum in one of the susceptibility components and a change of the Z2 symmetry to the Z4 in the structure factor.

Ce travail de thèse a pour objectif de développer et de valider expérimentalement un modèle de diffusion adapté au sang agrégeant, prenant en compte une forte fraction volumique de globules rouges (hématocrite de 40%) et des structures d’agrégats polydisperses. Un modèle développé récemment pour l’estimation de la microstructure du sang est la théorie de milieu effectif combinée à un modèle de facteur de structure monodisperse. Pour augmenter le domaine de validité de ce modèle en hautes fréquences, nous proposons une théorie de milieu effectif prenant en compte la composante incohérente de la diffusion par des agrégats de globules rouges. A l’aide de simulation numériques tridimensionnelles, nous montrons que la nouvelle modélisation permet de prédire les coefficients de rétrodiffusion de façon satisfaisante pour un produit $kR<2$ ($k$ étant le nombre d’ondes et $R$ le rayon d’un agrégat). Par ailleurs, nous proposons une théorie de milieu effectif combinée à un facteur de structure polydisperse afin d’estimer, à partir de la mesure expérimentale du coefficient de rétrodiffusion, des paramètres de structure des agrégats : le rayon moyen de la distribution de tailles, son étalement, et la compacité des agrégats. Des expériences réalisées sur du sang de porc cisaillé dans un dispositif de Couette couplé à une sonde ultrasonore montrent que le modèle polydisperse permet d’obtenir de meilleures courbes d’ajustement des coefficients de rétrodiffusion en comparaison des modèles monodisperses classiques. Les tailles d’agrégats estimées par ultrasons sont corrélées de façon satisfaisante (r$^2$ $\approx$ 0.92) avec les tailles estimées par ailleurs dans un dispositif optique. / This thesis aims to develop and evaluate a scattering model for aggregating blood, taking into account the high volume fraction of red blood cells in blood (40%) and the polydispersity in terms of aggregate size. The effective medium theory combined with the monodisperse structure factor model was recently developed to estimate blood microstructure. In order to improve the modeling at high frequency range, we proposed an effective medium theory that takes into account the incoherent component of the scattering by aggregates of RBCs. Three dimensional simulations were performed and showed that the consideration of the incoherent component allows to approximate the simulation satisfactorily for a product of the wavenumber times the aggregates radius $kR$ up to 2. Besides, we proposed an effective medium theory combined with a polydisperse structure factor. From the measured BSC, this model allows to estimate three structural parameters: the mean radius of the aggregate size distribution, the width of the distribution, and the compactness of the aggregates. Experiments were performed on pig blood shared in a Couette device coupled with an ultrasonic probe, and showed that the polydisperse modeling provides better fitting to the experimental BSC data, when compared to the classical monodisperse models. Satisfactory correlation is obtained (r$^2$ $\approx$ 0.92) between the aggregate sizes estimated with ultrasound and the aggregate sizes estimated on the same sample in an optical device.

No / We have probed the coupling between flow and concentration fluctuations in polymer blends using small-angle neutron scattering. We utilized a recirculating cell with a slot die, enabling us to measure the behavior at the entrance, within and at the exit of a contraction-expansion flow. While, as expected, anisotropy was observed in all nonquiescent experiments, the correlation lengths associated with the concentration fluctuations are found to be "stretched" more in the direction perpendicular to the flow at all positions along the centerline of the flow, except at the slot die exit. To gain insight into the observations, we present calculations of the scattering based on a multiscale approach, which bridges the gap between macroscopic Newtonian fluid dynamics and the convection of nanoscale concentration fluctuations. However, we find that this model contains insufficient physics to correctly describe our observations. Consequently, we argue that the deformation of the correlation length is primarily due to the coupling between weakly non-Newtonian stresses and thermodynamics

L’agrégation érythrocytaire est le principal facteur responsable des propriétés non newtoniennes sanguines pour des conditions d’écoulement à faible cisaillement. Lorsque les globules rouges s’agrègent, ils forment des rouleaux et des structures tridimensionnelles enchevêtrées qui font passer la viscosité sanguine de quelques mPa.s à une centaine de mPa.s. Cette organisation microstructurale érythrocytaire est maintenue par des liens inter-globulaires de faible énergie, lesquels sont brisés par une augmentation du cisaillement. Ces propriétés macroscopiques sont bien connues. Toutefois, les liens étiologiques entre ces propriétés rhéologiques générales et leurs effets pathophysiologiques demeurent difficiles à évaluer in vivo puisque les propriétés sanguines sont dynamiques et fortement tributaires des conditions d’écoulement. Ainsi, à partir de propriétés rhéologiques mesurées in vitro dans des conditions contrôlées, il devient difficile d’extrapoler leurs valeurs dans un environnement physiologique. Or, les thrombophlébites se développent systématiquement en des loci particuliers du système cardiovasculaire. D’autre part, plusieurs études cliniques ont établi que des conditions hémorhéologiques perturbées constituent des facteurs de risque de thrombose veineuse mais leurs contributions étiologiques demeurent hypothétiques ou corrélatives. En conséquence, un outil de caractérisation hémorhéologique applicable in vivo et in situ devrait permettre de mieux cerner et comprendre ces implications. Les ultrasons, qui se propagent dans les tissus biologiques, sont sensibles à l’agrégation érythrocytaire. De nature non invasive, l’imagerie ultrasonore permet de caractériser in vivo et in situ la microstructure sanguine dans des conditions d’écoulements physiologiques. Les signaux ultrasonores rétrodiffusés portent une information sur la microstructure sanguine reflétant directement les perturbations hémorhéologiques locales. Une cartographie in vivo de l’agrégation érythrocytaire, unique aux ultrasons, devrait permettre d’investiguer les implications étiologiques de l’hémorhéologie dans la maladie thrombotique vasculaire. Cette thèse complète une série de travaux effectués au Laboratoire de Biorhéologie et d’Ultrasonographie Médicale (LBUM) du centre de recherche du Centre hospitalier de l’Université de Montréal portant sur la rétrodiffusion ultrasonore érythrocytaire et menant à une application in vivo de la méthode. Elle se situe à la suite de travaux de modélisation qui ont mis en évidence la pertinence d’un modèle particulaire tenant compte de la densité des globules rouges, de la section de rétrodiffusion unitaire d’un globule et du facteur de structure. Ce modèle permet d’établir le lien entre la microstructure sanguine et le spectre fréquentiel du coefficient de rétrodiffusion ultrasonore. Une approximation au second ordre en fréquence du facteur de structure est proposée dans ces travaux pour décrire la microstructure sanguine. Cette approche est tout d’abord présentée et validée dans un champ d’écoulement cisaillé homogène. Une extension de la méthode en 2D permet ensuite la cartographie des propriétés structurelles sanguines en écoulement tubulaire par des images paramétriques qui mettent en évidence le caractère temporel de l’agrégation et la sensibilité ultrasonore à ces phénomènes. Une extrapolation menant à une relation entre la taille des agrégats érythrocytaires et la viscosité sanguine permet l’établissement de cartes de viscosité locales. Enfin, il est démontré, à l’aide d’un modèle animal, qu’une augmentation subite de l’agrégation érythrocytaire provoque la formation d’un thrombus veineux. Le niveau d’agrégation, la présence du thrombus et les variations du débit ont été caractérisés, dans cette étude, par imagerie ultrasonore. Nos résultats suggèrent que des paramètres hémorhéologiques, préférablement mesurés in vivo et in situ, devraient faire partie du profil de risque thrombotique. / The aggregation of erythrocytes is the main determinant of blood non Newtonian behaviour under low shearing flow conditions. When red blood cells (RBCs) aggregate, they form « rouleaux » and complex tridimensional structures that increase blood viscosity from a few mPa.s to a hundred mPa.s. The reversible RBC aggregation phenomenon is attributed to weak adhesive links between erythrocytes that are readily broken by increasing flow shearing. Blood bulk rheological properties have been comprehensively studied. However, the in vivo physiological impacts of abnormal clustering of RBCs are more difficult to assess. Clinical studies have identified altered hemorheology as a risk factor for thrombosis, but a clear etiological relationship between abnormal aggregation and thrombosis has not yet been established, in part because clinical conclusions were derived from correlative findings. It is to note that cardiovascular diseases such as deep venous thrombosis generally occur at specific locations within the vascular bed, suggesting a hemodynamic contribution to the development of this disease. Consequently, it is postulated that in vivo hemorheological characterization may help shed some light on the role of RBC hyper-aggregation on cardiovascular disorders. Ultrasound imaging, a non-invasive method relying on the propagation of mechanical waves within biological tissues, is sensitive to RBC aggregation. Indeed, the study of backscattered waves allows characterizing blood microstructure in vivo and in situ under physiological flow conditions. The work described in this thesis is based on prior simulation studies, performed at the Laboratory of Biorheology and Medical Ultrasonics of the University of Montreal Hospital Research Center, in which the backscattering of ultrasound from aggregating RBCs was modeled by considering a particle scattering strategy. In this approach, each RBC is a weak ultrasound scatterer (Born assumption) and the backscattering coefficient is modeled as the product of the RBC number density, the RBC backscattering cross section and a structure factor. This model relates variations in the backscattering coefficient to the RBC spatial organisation through the structure factor, which is the only parameter that changes during the aggregation process. A second order expansion in frequency of the structure factor was used to describe blood microstructure in terms of a packing factor W and an ensemble averaged aggregate diameter D. The model was first presented and validated by considering a homogenous shear flow condition using three broadband mono-element transducers. It was then extended in 2D to allow computation of parametric images in tube flow. An extrapolation based on the assumption that viscosity is related to the level of aggregation was used to compute local viscosity maps. Finally, a last contribution was the demonstration that a sudden increase in aggregation tendency directly promoted the formation of venous thrombosis in an experimental animal model. In that study, RBC aggregation, thrombus formation and flow variations were monitored longitudinally for two weeks using ultrasound. The results reported in this thesis suggest that rheological parameters on RBC clustering, ideally assessed in vivo and in situ, should be included in thrombosis risk profiling.

L’agrégation érythrocytaire est le principal facteur responsable des propriétés non newtoniennes sanguines pour des conditions d’écoulement à faible cisaillement. Lorsque les globules rouges s’agrègent, ils forment des rouleaux et des structures tridimensionnelles enchevêtrées qui font passer la viscosité sanguine de quelques mPa.s à une centaine de mPa.s. Cette organisation microstructurale érythrocytaire est maintenue par des liens inter-globulaires de faible énergie, lesquels sont brisés par une augmentation du cisaillement. Ces propriétés macroscopiques sont bien connues. Toutefois, les liens étiologiques entre ces propriétés rhéologiques générales et leurs effets pathophysiologiques demeurent difficiles à évaluer in vivo puisque les propriétés sanguines sont dynamiques et fortement tributaires des conditions d’écoulement. Ainsi, à partir de propriétés rhéologiques mesurées in vitro dans des conditions contrôlées, il devient difficile d’extrapoler leurs valeurs dans un environnement physiologique. Or, les thrombophlébites se développent systématiquement en des loci particuliers du système cardiovasculaire. D’autre part, plusieurs études cliniques ont établi que des conditions hémorhéologiques perturbées constituent des facteurs de risque de thrombose veineuse mais leurs contributions étiologiques demeurent hypothétiques ou corrélatives. En conséquence, un outil de caractérisation hémorhéologique applicable in vivo et in situ devrait permettre de mieux cerner et comprendre ces implications. Les ultrasons, qui se propagent dans les tissus biologiques, sont sensibles à l’agrégation érythrocytaire. De nature non invasive, l’imagerie ultrasonore permet de caractériser in vivo et in situ la microstructure sanguine dans des conditions d’écoulements physiologiques. Les signaux ultrasonores rétrodiffusés portent une information sur la microstructure sanguine reflétant directement les perturbations hémorhéologiques locales. Une cartographie in vivo de l’agrégation érythrocytaire, unique aux ultrasons, devrait permettre d’investiguer les implications étiologiques de l’hémorhéologie dans la maladie thrombotique vasculaire. Cette thèse complète une série de travaux effectués au Laboratoire de Biorhéologie et d’Ultrasonographie Médicale (LBUM) du centre de recherche du Centre hospitalier de l’Université de Montréal portant sur la rétrodiffusion ultrasonore érythrocytaire et menant à une application in vivo de la méthode. Elle se situe à la suite de travaux de modélisation qui ont mis en évidence la pertinence d’un modèle particulaire tenant compte de la densité des globules rouges, de la section de rétrodiffusion unitaire d’un globule et du facteur de structure. Ce modèle permet d’établir le lien entre la microstructure sanguine et le spectre fréquentiel du coefficient de rétrodiffusion ultrasonore. Une approximation au second ordre en fréquence du facteur de structure est proposée dans ces travaux pour décrire la microstructure sanguine. Cette approche est tout d’abord présentée et validée dans un champ d’écoulement cisaillé homogène. Une extension de la méthode en 2D permet ensuite la cartographie des propriétés structurelles sanguines en écoulement tubulaire par des images paramétriques qui mettent en évidence le caractère temporel de l’agrégation et la sensibilité ultrasonore à ces phénomènes. Une extrapolation menant à une relation entre la taille des agrégats érythrocytaires et la viscosité sanguine permet l’établissement de cartes de viscosité locales. Enfin, il est démontré, à l’aide d’un modèle animal, qu’une augmentation subite de l’agrégation érythrocytaire provoque la formation d’un thrombus veineux. Le niveau d’agrégation, la présence du thrombus et les variations du débit ont été caractérisés, dans cette étude, par imagerie ultrasonore. Nos résultats suggèrent que des paramètres hémorhéologiques, préférablement mesurés in vivo et in situ, devraient faire partie du profil de risque thrombotique. / The aggregation of erythrocytes is the main determinant of blood non Newtonian behaviour under low shearing flow conditions. When red blood cells (RBCs) aggregate, they form « rouleaux » and complex tridimensional structures that increase blood viscosity from a few mPa.s to a hundred mPa.s. The reversible RBC aggregation phenomenon is attributed to weak adhesive links between erythrocytes that are readily broken by increasing flow shearing. Blood bulk rheological properties have been comprehensively studied. However, the in vivo physiological impacts of abnormal clustering of RBCs are more difficult to assess. Clinical studies have identified altered hemorheology as a risk factor for thrombosis, but a clear etiological relationship between abnormal aggregation and thrombosis has not yet been established, in part because clinical conclusions were derived from correlative findings. It is to note that cardiovascular diseases such as deep venous thrombosis generally occur at specific locations within the vascular bed, suggesting a hemodynamic contribution to the development of this disease. Consequently, it is postulated that in vivo hemorheological characterization may help shed some light on the role of RBC hyper-aggregation on cardiovascular disorders. Ultrasound imaging, a non-invasive method relying on the propagation of mechanical waves within biological tissues, is sensitive to RBC aggregation. Indeed, the study of backscattered waves allows characterizing blood microstructure in vivo and in situ under physiological flow conditions. The work described in this thesis is based on prior simulation studies, performed at the Laboratory of Biorheology and Medical Ultrasonics of the University of Montreal Hospital Research Center, in which the backscattering of ultrasound from aggregating RBCs was modeled by considering a particle scattering strategy. In this approach, each RBC is a weak ultrasound scatterer (Born assumption) and the backscattering coefficient is modeled as the product of the RBC number density, the RBC backscattering cross section and a structure factor. This model relates variations in the backscattering coefficient to the RBC spatial organisation through the structure factor, which is the only parameter that changes during the aggregation process. A second order expansion in frequency of the structure factor was used to describe blood microstructure in terms of a packing factor W and an ensemble averaged aggregate diameter D. The model was first presented and validated by considering a homogenous shear flow condition using three broadband mono-element transducers. It was then extended in 2D to allow computation of parametric images in tube flow. An extrapolation based on the assumption that viscosity is related to the level of aggregation was used to compute local viscosity maps. Finally, a last contribution was the demonstration that a sudden increase in aggregation tendency directly promoted the formation of venous thrombosis in an experimental animal model. In that study, RBC aggregation, thrombus formation and flow variations were monitored longitudinally for two weeks using ultrasound. The results reported in this thesis suggest that rheological parameters on RBC clustering, ideally assessed in vivo and in situ, should be included in thrombosis risk profiling.

The charge and spin density correlations in a one dimensional electron gas (1DEG) confined in a semiconductor quantum wire structure at zero temperature are studied. The dielectric formulation of the many--body problem is employed and the longitudinal dielectric function, local-field correction, static structure factor, pair correlation function, ground state energy, compressibility, spin-dependent effective interaction potentials, paramagnon dispersion and static spin response function of the 1DEG are computed within the self-consistent field approximations of Singwi et al., known as the STLS and SSTL. The results are compared with those of other groups, and those obtained for two-dimensional electron gas systems whenever it is possible. It is observed that the SSTL satisfies the compressibility sum rule better than the STLS. Calculating the ground state energy of the 1DEG in unpolarized and fully polarized states, it is shown that both STLS and SSTL predict a Bloch transition for 1DEG systems at low electron densities. Finally, the coupled plasmon-phonon modes in semiconductor quantum wires are calculated within the Fermi and Luttinger liquid theories. The coupling of electrons to bulk longitudinal optical phonons without dispersion and to acoustic phonons via deformation potential with a linear dispersion are considered. Using the dielectric formalism, a unified picture of the collective coupled plasmon-phonon modes is presented. Considerable differences between the predictions of the Fermi and Luttinger liquid approaches at large wave vector values, which may be observed experimentally, are found.