Connecting dispersion models and wall temperature prediction for laminar and turbulent flows in channels

In a former paper, Drouin et al. (2010) proposed a model for dispersion phenomena in heated channels that works for both laminar and turbulent regimes. This model, derived according to the double averaging procedure, leads to satisfactory predictions of mean temperature. In order to derive dispersion coefficients, the so called ‘‘closure problem’’ was solved, which gave us access to the temperature deviation at sub filter scale. We now propose to capitalize on this useful information in order to connect dispersion modeling to wall temperature prediction. As a first step, we use the temperature deviation modeling in order to connect wall to mean temperatures within the asymptotic limit of well established pipe flows. Since temperature in wall vicinity is mostly controlled by boundary conditions, it might evolve according to different time and length scales than averaged temperature. Hence, this asymptotic limit provides poor prediction of wall temperature when flow conditions encounter fast transients and stiff heat flux gradients. To overcome this limitation we derive a transport equation for temperature deviation. The resulting two-temperature model is then compared with fine scale simulations used as reference results. Wall temperature predictions are found to be in good agreement for various Prandtl and Reynolds numbers, from laminar to fully turbulent regimes and improvement with respect to classical models is noticeable

Numerical simulation of a 3D unsteady two-phase flow in the filling cavity in oxygen of a cryogenic rocket-engine

The feeding of the LOX dome of a cryogenic rocket-engine is a decisive stage of the transient engine ignition. However flight conditions are difficult to reproduce by experimental ground tests. The work reported here is part of an ongoing research effort to develop a robust method for prediction and understanding the LOX dome feeding. In the framework of this project, experiments with substition fluids (air and water) are conducted, without mass and energy transfer. This work presented here intends to reproduce these experiments through incompressible two-phase flow CFD simulations, in an industrial geometry equivalent to the experimental mock-up, made up of a feeding piper, a dome and 122 injectors. More precisely, the aim is to compare the numerical results obtained with NEPTUNE CFD code with the experimental results, through the dome pressure and the mass flow rate of water at the outlet. An important work was made to obtain the same inlet conditions in NEPTUNE CFD code as the experimenters, in order to compare the numerical results with the experimental results for the best. The influence of the interfacial momentum transfer modeling and turbulence modeling are also studied here. The turbulence modeling plays no macroscopic or local role on the mass flow rate of water, on the mass of water in dome and on the dome pressure. The drag model has a major impact on our results as well globally as locally, unlike the turbulence modeling. The Simmer-like model is prefered in comparison to the Large Interface called LIM, because it is in better agreement with experimental data. Moreover, it has to be highlighted that the Simmer-like model is very sensitive to its parameter d, the inclusion diameter

Dynamique, réactivité et écotoxicité des nanoparticules d’oxydes métalliques dans les sols : impact sur les fonctions et la diversité des communautés microbiennes

Manufactured metallic nanoparticles (NPs) are emerging pollutants of soils due to their increasing utilization in numerous commercial products (cosmetics, food, paint…). In vitro studies have demonstrated NPs toxicity on microorganisms but data are still scarce on the fate and ecotoxicity of these contaminants in soils. The objective of this thesis was to assess the influence of soil properties on (i) the physicochemical characteristics and the transport of NPs, and (ii) on the NPs toxicity on soil microbial communities, especially on microbial functional groups involved in carbon and nitrogen cycles. This work highlighted that soil properties influenced the aggregation and the surface charges of titanium dioxide NPs (TiO2-NPs) and copper oxide NPs (CuO-NPs). In the six agricultural soils studied, we observed a very low transport of the two NPs in a soil column experiment. We observed a low toxicity of TiO2-NPs for soil microbial communities, except in a silty-clay soil with a high organic matter content. In this soil, microbial activities (soil respiration, nitrification and denitrification) and nitrifier abundances were strongly decreased and archaeal and bacterial community structure were altered after 90 days of exposure. Furthermore in this soil, we observed decreases of nitrification activity, even for very low TiO2-NPs concentrations (0.05 mg kg-1) which were explained by a high sensitivity of ammonia-oxidizing archaea (AOA) involved in this process. Additional studies in soil columns demonstrated that chronic contamination with TiO2-NPs caused more deleterious effects on nitrification than acute contaminationLes nanoparticules métalliques manufacturées (NPs) sont des polluants émergents dont la concentration augmente dans les sols en raison de leur utilisation croissante dans de nombreux produits commerciaux de la vie courante (cosmétiques, aliments, peintures…). Des études in vitro ont montré la toxicité des NPs pour les microorganismes, mais il existe encore peu de données sur l'écotoxicité et le devenir de ces contaminants dans les sols. L'objectif de cette thèse est donc d'évaluer l'influence des paramètres abiotiques du sol sur (i) les caractéristiques physico-chimiques et le transfert des NPs, et (ii) sur la toxicité des NPs pour les communautés microbiennes du sol, en particulier pour des groupes fonctionnels microbiens impliqués dans le cycle du carbone et de l'azote. Nous avons mis en évidence que les propriétés du sol influençaient l'agrégation et la charge de surface des NPs de dioxyde de titane (TiO2) et d'oxyde de cuivre (CuO). Dans les six sols agricoles étudiés, nous avons observé un transport très faible des NPs testées lors d'une expérimentation en colonnes de sols. Nous avons mis en évidence une absence de toxicité des NPs de TiO2 sur les communautés microbiennes, sauf dans un sol limono-argileux à forte teneur en matière organique. Dans ce sol, des effets négatifs ont été observés après 90 jours d'exposition sur les activités microbiennes, sur l'abondance des microorganismes nitrifiants et la diversité des bactéries et des archées. Des études complémentaires en colonnes de sol, ont permis de mettre en évidence des effets délétères des NPs plus importants que la nitrification lors d'une contamination chronique au TiO2 que lors d'une contamination aigü

Short-term responses and resistance of soil microbial community structure to elevated CO2 and N addition in grassland mesocosms

Nitrogen (N) addition is known to affect soil microbial communities, but the interactive effects of N addition with otherdrivers of global change remain unclear. The impacts of multiple global changes on the structure of microbial communities may be mediated by specific microbial groups with different life-history strategies. Here, we investigated the combined effects of elevated CO2 and N addition on soil microbial communities using PLFA profiling in a short-term grassland mesocosm experiment. We also examined the linkages between the relative abundance of r- and K-strategist microorganisms and resistance of the microbial community structure to experimental treatments. N addition had a significant effect on microbial community structure, likely driven by concurrent increases in plant biomass and in soil labile C and N. In contrast, microbial community structure did not change under elevated CO2 or show significant CO2 × N interactions. Resistance of soil microbial community structure decreased with increasing fungal/bacterial ratio, but showed a positive relationship with the Gram-positive/Gram-negative bacterial ratio. Our findings suggest that the Grampositive/ Gram-negative bacteria ratio may be a useful indicator of microbial community resistance and that K-strategist abundance may play a role in the short-term stability of microbial communities under global change

Numerical simulation of dome filling in an experimental rocket engine mockup

Experiments are carried out with substitution fluids (air and water), without heat and mass transfer on a rocket engine mockup. The work presented here intends to reproduce the experimental results using incompressible twophase flow simulations. The geometry used is representative of the experimental mockupcomposed of a feeding pipe, a dome, and a number of injectors. The objective of the paper is to adapt a Eulerian–Eulerian two-fluid model approach to simulate the filling of a dome and to test its ability to reproduce some experimental evidences. The main difficulties to be faced are the fast transients in a complex geometry, including in particular the valve opening sequence, and the drastic evolution of the two-phase flow regime as the flow evolves from gas only to liquid only. An important work has been conducted to obtain the proper inlet conditions to be imposed in the code in coherence with the experiments. The influences of the turbulence modeling and the interfacial momentum transfer modeling are also studied. The former has no macroscopic or local effect on the mass flow rate of water, the mass of water in the dome, and the dome pressure. The drag model, however, has a major impact on the results as much globally as locally. The Simmer-like drag model is preferred in comparison to the Large Interface Model, due to a better agreement with the experimental data. Moreover, it has to be highlighted that the Simmer-like model is very sensitive to the inclusion diameter

La création, le numérique et la médiathèque

Organisé par l’IUT Michel de Montaigne, la médiathèque de Gradignan et l’agence Écla-Aqutaine, ce 18e colloque a mis en évidence les enjeux auxquels doivent faire face les médiathèques dans l’environnement numérique. Cette nouvelle donne économique, sociale et culturelle impose un positionnement clair de nos établissements pour mieux répondre aux besoins de nos usagers

Negative Effects of Copper Oxide Nanoparticles on Carbon and Nitrogen Cycle Microbial Activities in Contrasting Agricultural Soils and in Presence of Plants

Metal-oxide nanoparticles (NPs) such as copper oxide (CuO) NPs offer promising perspectives for the development of novel agro-chemical formulations of pesticides and fertilizers. However, their potential impact on agro-ecosystem functioning still remains to be investigated. Here, we assessed the impact of CuO-NPs (0.1, 1, and 100 mg/kg dry soil) on soil microbial activities involved in the carbon and nitrogen cycles in five contrasting agricultural soils in a microcosm experiment over 90 days. Additionally, in a pot experiment, we evaluated the influence of plant presence on the toxicity of CuO-NPs on soil microbial activities. CuO-NPs caused significant reductions of the three microbial activities measured (denitrification, nitrification, and soil respiration) at 100 mg/kg dry soil, but the low concentrations (0.1 and 1 mg/kg) had limited effects. We observed that denitrification was the most sensitive microbial activity to CuO-NPs in most soil types, while soil respiration and nitrification were mainly impacted in coarse soils with low organic matter content. Additionally, large decreases in heterotrophic microbial activities were observed in soils planted with wheat, even at 1 mg/kg for soil substrate-induced respiration, indicating that plant presence did not mitigate or compensate CuO-NP toxicity for microorganisms. These two experiments show that CuO-NPs can have detrimental effects on microbial activities in soils with contrasting physicochemical properties and previously exposed to various agricultural practices. Moreover, we observed that the negative effects of CuO-NPs increased over time, indicating that short-term studies (hours, days) may underestimate the risks posed by these contaminants in soils

Microbiome Composition and Function in Aquatic Vertebrates: Small Organisms Making Big Impacts on Aquatic Animal Health

Aquatic ecosystems are under increasing stress from global anthropogenic and natural changes, including climate change, eutrophication, ocean acidification, and pollution. In this critical review, we synthesize research on the microbiota of aquatic vertebrates and discuss the impact of emerging stressors on aquatic microbial communities using two case studies, that of toxic cyanobacteria and microplastics. Most studies to date are focused on host-associated microbiomes of individual organisms, however, few studies take an integrative approach to examine aquatic vertebrate microbiomes by considering both host-associated and free-living microbiota within an ecosystem. We highlight what is known about microbiota in aquatic ecosystems, with a focus on the interface between water, fish, and marine mammals. Though microbiomes in water vary with geography, temperature, depth, and other factors, core microbial functions such as primary production, nitrogen cycling, and nutrient metabolism are often conserved across aquatic environments. We outline knowledge on the composition and function of tissue-specific microbiomes in fish and marine mammals and discuss the environmental factors influencing their structure. The microbiota of aquatic mammals and fish are highly unique to species and a delicate balance between respiratory, skin, and gastrointestinal microbiota exists within the host. In aquatic vertebrates, water conditions and ecological niche are driving factors behind microbial composition and function. We also generate a comprehensive catalog of marine mammal and fish microbial genera, revealing commonalities in composition and function among aquatic species, and discuss the potential use of microbiomes as indicators of health and ecological status of aquatic ecosystems. We also discuss the importance of a focus on the functional relevance of microbial communities in relation to organism physiology and their ability to overcome stressors related to global change. Understanding the dynamic relationship between aquatic microbiota and the animals they colonize is critical for monitoring water quality and population health

kNN Classification of Epilepsy Brainwaves

Epilepsy is a disorder of the normal brain function by the existence of abnormal synchronous discharges in large groups of neurons in brain structures and it is estimated about 1% of the world’s population suffers from this disease [Tzallas et al., 2009]. It has been reported that the brainwave of Epilepsy patient mostly in sharp, spike and complex wave pattern [Tzallas et al., 2009]. In addition, Epilepsy brainwaves pattern lies in wide variety of Electroencephalogram (EEG) signals in formed of low-amplitude and polyspikes activity [Vargas et al., 2011]. Generally, this disease was examined through the brainwaves or EEG signals by clinical neurulogists. An EEG is a device to record the brainwaves in term of electrical activity from the brain. Brain patterns from wave shapes that are commonly sinusoidal and measured from peak to peak that range from 0.5 μV to 100 μV in amplitude. Moreover, the brainwaves have been categorized into four frequency bands, Beta (>13 Hz), Alpha (8-13 Hz), Theta (4-8 Hz) and Delta (0.5-4 Hz). All the frequency bands will be used to characterize the Epilepsy brainwave in terms of amplitude (voltage) and frequency [Mustafa et al., 2013]. The Epilepsy brainwaves were downloaded from http://www.vis.caltech.edu/~rodri/data.htm of Fp1 and Fp2 channels which is from rats. The brainwaves consists Epilepsy and non-Epilepsy samples. Then, the brainwaves were pre-processed to remove artefact (noise). Various methods had been introduced to detect spike-wave discharge in Epilepsy patient brainwave. Brainwave is nonstationary signal, therefore, time-frequency analysis is appropriate methods to analyse the signals[Tzallas et al., 2009, Vargas et al., 2011]. One of the most popular time-frequency analyses is ShortTime Fourier Transform (STFT). After the brainwaves were pre-processed, STFT was employed to the clean brainwaves. The STFT spectrogram was generated for four frequency bands of the samples