25 research outputs found

    Méthodes multi-échelles pour la modélisation des vibrations de structures à matériaux composites viscoélastiques

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    Accès restreint aux membres de l'Université de Lorraine jusqu'au 2016-04-23In this thesis, multiscale homogenization techniques are proposed for vibration analysis of structures with viscoelastic composite materials. In the first part, the Double Scale Asymptotic Method is proposed for vibration modeling of large repetitive viscoelastic sandwich structures. For this kind of structures, la eigenfrequencies are closely located in well separated packets. The DSAM splits the initial problem of large size into two problems of relatively small sizes. The first problem is posed on few basic cells, and the second one is an amplitude equation with complex coefficients. The resolution of these equations permits to compute the damping properties that correspond to the beginning and the end of every packets of eigenmodes. In case of structure with frequency dependent Young modulus in the core, the diamant approach is used to solve the nonlinear problem posed on basic cells. The ADF and fractional derivative models are considered in numerical tests. By using the DSAM, one avoid the discretization of the whole structure, and the computation time and needed CPU memory are thus reduced. The proposed method is validated by comparing its results with those of the direct finite element method using the diamant approach. In the second part of this thesis, the multiscale finite element method (FE2) is proposed for computation of modal properties (resonant frequency and modal loss factors) of structures with composite materials. In the principle of the (FE2) method, the vibration problem is formulated at two scales: the scale of the whole structure (macroscopic scale) and the scale of a Representative Volume Element (RVE) considered as the microscopic scale. The microscopic problem is a nonlinear one and the macroscopic problem is linear. The nonlinearity at the microscopic scale is introduced by the frequency dependence of the Young modulus of the viscoelastic phases. This nonlinear problem is solved by the Asymptotic Numerical Method and its automatic differentiation tools realizable in Matlab, Fortran or C++. From this approach, numerical tool that is generic, flexible, robust and inexpensive in term of CPU time and memory is proposed for vibration analysis of viscoelastic structures. The constant Young modulus and frequency dependent Young modulus are considered in validation tests. The results of numerical simulation with ABAQUS are used are reference. The model is then used to compute the modal properties of sandwich structure with viscoelastic composite core. To test the capacities of the proposed approach to design sandwich viscoelastic structure with high damping properties, the influence of parameters of the inclusions are studiedDans cette thèse, des techniques d’homogénéisation multi-échelles sont proposées pour l’analyse des vibrations des matériaux composites viscoélastiques. Dans la première partie, la Méthode Asymptotique à Deux Echelles (MADE) est proposée pour la modélisation des vibrations des longues structures sandwichs viscoélastiques répétitives. Pour ce type de structures les pulsations amorties correspondant aux modes propres de vibration sont regroupées en paquets bien distincts. La MADE décompose le problème initial de grande taille en deux problèmes de petites tailles. Le premier est défini sur quelques cellules de base et le second est une équation différentielle d’amplitude à coefficients complexes. La résolution de ces problèmes permet de déterminer les propriétés amortissantes correspondant aux modes de début et de fin de paquet de la structure tout en évitant la discrétisation de toute la structure. Pour les structures dont les coeurs ont un module d’Young dépendant de la fréquence, le problème non linéaire formulé sur les cellules de bases est résolu par l’approche diamant. Les modèles ADF et à dérivées fractionnaires ont été considérés dans les tests numériques. En utilisant la MADE, on évite la discrétisation de toute la structure, ce qui permet donc de réduire considérablement le temps de calcul ainsi que l’espace mémoire CPU nécessaires. L’approche proposée a été validée en comparant les résultats à ceux de la simulation éléments finis basée sur la discrétisation de toute la structure, et utilisant l’approche diamant. Dans la seconde partie de cette thèse, la méthode des éléments finis multi-échelles (EF2) a été développée pour le calcul des propriétés modales des structures à matériaux hétérogènes viscoélastiques en terme de fréquences amorties et amortissements modaux. Dans le principe de l’approche EF2, le problème de vibration est formulé à deux échelles : l’échelle de la structure globale (échelle macroscopique) et l’échelle d’un VER minutieusement choisi (échelle microscopique). Le problème à résoudre à l’échelle microscopique est un problème non linéaire alors que le problème à résoudre à l’échelle macroscopique est un problème linéaire. La non linéarité à l’échelle microscopique est introduite par la dépendance en fréquence du module d’Young des matériaux des phases viscoélastiques. Le problème non linéaire ainsi généré à l’échelle microscopique est résolu grâce à la MAN et ses outils de différentiation automatique réalisés sous Matlab, Fortran et C++. Un outil numérique, générique, robuste, peu coûteux en temps de calcul et espace mémoire CPU, de résolution des problèmes de vibrations non amorties des structures composites viscoélastique est ainsi mis en place. Le modèle viscoélastique à module constant ainsi que des modèles à modules dépendant de la fréquence notamment le modèle ADF et le modèle à dérivées fractionnaires ont été considérés pour les tests numériques de validation. Les comparaisons avec les résultats ABAQUS ont confirmé l’efficacité du code propos é. Le modèle est ensuite utilisé pour le calcul des propriétés amortissantes des structures sandwichs viscoélastiques à coeur composite. Les capacités de la nouvelle approche à concevoir des structures sandwichs viscoélastiques à coeur composite et à haut pouvoir amortissant ont été testées avec succès à travers l’étude de l’influence des différents paramètres des inclusions sur les propriétés amortissantes d’une structure sandwich viscoélastique à coeur composit

    Multi-scale method for vibration modeling of structures with viscoelastic composite materials

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    Dans cette thèse, des techniques d’homogénéisation multi-échelles sont proposées pour l’analyse des vibrations des matériaux composites viscoélastiques. Dans la première partie, la Méthode Asymptotique à Deux Echelles (MADE) est proposée pour la modélisation des vibrations des longues structures sandwichs viscoélastiques répétitives. Pour ce type de structures les pulsations amorties correspondant aux modes propres de vibration sont regroupées en paquets bien distincts. La MADE décompose le problème initial de grande taille en deux problèmes de petites tailles. Le premier est défini sur quelques cellules de base et le second est une équation différentielle d’amplitude à coefficients complexes. La résolution de ces problèmes permet de déterminer les propriétés amortissantes correspondant aux modes de début et de fin de paquet de la structure tout en évitant la discrétisation de toute la structure. Pour les structures dont les coeurs ont un module d’Young dépendant de la fréquence, le problème non linéaire formulé sur les cellules de bases est résolu par l’approche diamant. Les modèles ADF et à dérivées fractionnaires ont été considérés dans les tests numériques. En utilisant la MADE, on évite la discrétisation de toute la structure, ce qui permet donc de réduire considérablement le temps de calcul ainsi que l’espace mémoire CPU nécessaires. L’approche proposée a été validée en comparant les résultats à ceux de la simulation éléments finis basée sur la discrétisation de toute la structure, et utilisant l’approche diamant. Dans la seconde partie de cette thèse, la méthode des éléments finis multi-échelles (EF2) a été développée pour le calcul des propriétés modales des structures à matériaux hétérogènes viscoélastiques en terme de fréquences amorties et amortissements modaux. Dans le principe de l’approche EF2, le problème de vibration est formulé à deux échelles : l’échelle de la structure globale (échelle macroscopique) et l’échelle d’un VER minutieusement choisi (échelle microscopique). Le problème à résoudre à l’échelle microscopique est un problème non linéaire alors que le problème à résoudre à l’échelle macroscopique est un problème linéaire. La non linéarité à l’échelle microscopique est introduite par la dépendance en fréquence du module d’Young des matériaux des phases viscoélastiques. Le problème non linéaire ainsi généré à l’échelle microscopique est résolu grâce à la MAN et ses outils de différentiation automatique réalisés sous Matlab, Fortran et C++. Un outil numérique, générique, robuste, peu coûteux en temps de calcul et espace mémoire CPU, de résolution des problèmes de vibrations non amorties des structures composites viscoélastique est ainsi mis en place. Le modèle viscoélastique à module constant ainsi que des modèles à modules dépendant de la fréquence notamment le modèle ADF et le modèle à dérivées fractionnaires ont été considérés pour les tests numériques de validation. Les comparaisons avec les résultats ABAQUS ont confirmé l’efficacité du code propos é. Le modèle est ensuite utilisé pour le calcul des propriétés amortissantes des structures sandwichs viscoélastiques à coeur composite. Les capacités de la nouvelle approche à concevoir des structures sandwichs viscoélastiques à coeur composite et à haut pouvoir amortissant ont été testées avec succès à travers l’étude de l’influence des différents paramètres des inclusions sur les propriétés amortissantes d’une structure sandwich viscoélastique à coeur compositeIn this thesis, multiscale homogenization techniques are proposed for vibration analysis of structures with viscoelastic composite materials. In the first part, the Double Scale Asymptotic Method is proposed for vibration modeling of large repetitive viscoelastic sandwich structures. For this kind of structures, la eigenfrequencies are closely located in well separated packets. The DSAM splits the initial problem of large size into two problems of relatively small sizes. The first problem is posed on few basic cells, and the second one is an amplitude equation with complex coefficients. The resolution of these equations permits to compute the damping properties that correspond to the beginning and the end of every packets of eigenmodes. In case of structure with frequency dependent Young modulus in the core, the diamant approach is used to solve the nonlinear problem posed on basic cells. The ADF and fractional derivative models are considered in numerical tests. By using the DSAM, one avoid the discretization of the whole structure, and the computation time and needed CPU memory are thus reduced. The proposed method is validated by comparing its results with those of the direct finite element method using the diamant approach. In the second part of this thesis, the multiscale finite element method (FE2) is proposed for computation of modal properties (resonant frequency and modal loss factors) of structures with composite materials. In the principle of the (FE2) method, the vibration problem is formulated at two scales: the scale of the whole structure (macroscopic scale) and the scale of a Representative Volume Element (RVE) considered as the microscopic scale. The microscopic problem is a nonlinear one and the macroscopic problem is linear. The nonlinearity at the microscopic scale is introduced by the frequency dependence of the Young modulus of the viscoelastic phases. This nonlinear problem is solved by the Asymptotic Numerical Method and its automatic differentiation tools realizable in Matlab, Fortran or C++. From this approach, numerical tool that is generic, flexible, robust and inexpensive in term of CPU time and memory is proposed for vibration analysis of viscoelastic structures. The constant Young modulus and frequency dependent Young modulus are considered in validation tests. The results of numerical simulation with ABAQUS are used are reference. The model is then used to compute the modal properties of sandwich structure with viscoelastic composite core. To test the capacities of the proposed approach to design sandwich viscoelastic structure with high damping properties, the influence of parameters of the inclusions are studie

    Artificial intelligence technology for evaluating solar energy resources and its application in harbin

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    In terms of economy, electricity is a commodity capable of being bought, sold and traded. Electricity is difficult to store, and it has to be available on demand. Consequently, unlike other products, it’s impossible, under normal operating conditions, to keep it in stock, to ration it, or to have customers queue for it. The solar energy generating system, whether gridconnected or stand-alone, is most commonly used in places when possible to install solar equipment (roofs, pollutes areas, closed rubbish dumps, rural and suburban areas). It is based on converting solar radiation (i.e., photons that are sent from the sun) to produce electricity. The PV system has a lot of ways of applications. For example, in developing countries, PV is used for basic life needs, such as heating and cooking, while in developed countries, the system is used to supply electricity for homes and grids. Due to its importance in the solar energy field, global solar radiation data (GSR) forecasting has become more popular to facilitate solar system installation. This paper investigates the method of prediction of global solar radiation in Harbin by the artificial neural network (ANN) approach. Solar radiation prediction and forecasting carry out considering global weather solar radiation data

    Vibration modeling of large repetitive sandwich structures with viscoelastic core

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    International audienceA double scale asymptotic method (DSAM) is proposed for vibration modeling of large repetitive sandwich structures with a viscoelastic core. The method decomposes the initial nonlinear vibration problem into two small linear ones The first one is defined on few basic cells while the second is a differential global.. amplitude equation with complex coefficients. Their numerical computations permit determination of the damping properties as well as Pass and stop bands avoiding the direct computation on the whole structure. Viscoelastic frequency dependent core with fractional and anelastic displacement field models are considered The resulting nonclassical problems are solved by asymptotic numerical method coupled with automatic differentiation. Based on the presented method, a large reduction of the needed computational time and memory is obtained. The accuracy and efficiency of the proposed method are validated with comparisons to the direct simulations by discretization of the whole structure using asymptotic numerical method coupled with automatic differentiation

    Energy-Efficient Multi-Disjoint Path Opportunistic Node Connection Routing Protocol in Wireless Sensor Networks for Smart Grids

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    The gradual increase in the maturity of sensor electronics has resulted in the increasing demand for wireless sensor networks for many industrial applications. One of the industrial platforms for efficient usage and deployment of sensor networks is smart grids. The critical network traffic in smart grids includes both delay-sensitive and delay-tolerant data for real-time and non-real-time usage. To facilitate these traffic requirements, the asynchronous working–sleeping cycle of sensor nodes can be used as an opportunity to create a node connection. Efficient use of wireless sensor network in smart grids depends on various parameters like working–sleeping cycle, energy consumption, network lifetime, routing protocol, and delay constraints. In this paper, we propose an energy-efficient multi-disjoint path opportunistic node connection routing protocol (abbreviated as EMOR) for sensor nodes deployed in neighborhood area network. EMOR utilizes residual energy, availability of sensor node’s buffer size, working–sleeping cycle of the sensor node and link quality factor to calculate optimum path connectivity after opportunistic connection random graph and spanning tree formation. The multi-disjoint path selection in EMOR based on service differentiation of real-time and non-real-time traffic leads to an improvement in packet delivery rate, network lifetime, end-end delay and total energy consumption

    Краткосрочное прогнозирование генерации энергии солнечных электростанций с использованием технологий нейронных сетей в Республике Беларусь

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    Artificial Intelligence consist attribute of science and computer that creates the system or program or any machines perform the Intelligent and Imaginative functions of a human, independently and solution of problems which are able to make some actions. Basic areas of application are smart grids, electricity trading, the sector coupling of electricity, heating and transport etc. Prerequisites for a wide using of AI in the energy system are correspondingly large set of data that is evaluable and the digitalization of the energy sector. AI makes the energy industry more efficient and secure by analyzing and evaluating the data volumes. The main aim of AI and producing energy is creating system, which will be able to make predictions of solar energy resources in definite place. Data massive will be collected and separated on few types. The results shows “future” time: what amount of energy “we” can get in certain period of time in certain place. I use 2 points, which situated in different places (active solar power station); 1 square meter (kW-hr/m^2/day) by solar panel

    Hesitant Fuzzy Entropy-Based Opportunistic Clustering and Data Fusion Algorithm for Heterogeneous Wireless Sensor Networks

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    Limited energy resources of sensor nodes in Wireless Sensor Networks (WSNs) make energy consumption the most significant problem in practice. This paper proposes a novel, dynamic, self-organizing Hesitant Fuzzy Entropy-based Opportunistic Clustering and data fusion Scheme (HFECS) in order to overcome the energy consumption and network lifetime bottlenecks. The asynchronous working-sleeping cycle of sensor nodes could be exploited to make an opportunistic connection between sensor nodes in heterogeneous clustering. HFECS incorporates two levels of hierarchy in the network and energy heterogeneity is characterized using three levels of energy in sensor nodes. HFECS gathers local sensory data from sensor nodes and utilizes multi-attribute decision modeling and the entropy weight coefficient method for cluster formation and the cluster head election procedure. After cluster formation, HFECS uses the same techniques for performing data fusion at the first hierarchical level to reduce the redundant information flow from the first-second hierarchical levels, which can lead to an improvement in energy consumption, better utilization of bandwidth and extension of network lifetime. Our simulation results reveal that HFECS outperforms the existing benchmark schemes of heterogeneous clustering for larger network sizes in terms of half-life period, stability period, average residual energy, network lifetime, and packet delivery ratio

    Performance Analysis of the 50 MW Concentrating Solar Power Plant under Various Operation Conditions

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    Power generation using concentrating solar energy is a potential solution to provide clean, green, and sustainable power generation in the long term. The objective of this paper is to analyze the performance of a parabolic trough collector-based concentrating solar power (CSP) plant by selecting four different reference days (i.e., 22 March, 22 June, 22 September, and 22 December), representing four seasons in Mongolian climate conditions. Numerical simulation of the 50 MW CSP plant was performed, both at nominal and part-load conditions using the heat balance method considering variations of power load owing to the direct normal irradiation (DNI). The results revealed that the 50 MW CSP plant could operate well throughout the year, and it showed the highest value of operating performance for the 22 June due to the higher DNI and small solar incidence angle. The operating performance for the 22 March and 22 September is nearly similar. The lowest value of operating performance occurred on the 22 December. Moreover, the operating performance of the CSP plant in the part-load conditions was significantly reduced compared to the nominal load owing to the DNI fluctuation. This study also revealed that the CSP plant could significantly contribute to environmental protection and climate change mitigation
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