Academic literature on the topic 'Energy Conserving Methods'

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Journal articles on the topic "Energy Conserving Methods"

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Reich, Sebastian. "Enhancing energy conserving methods." BIT Numerical Mathematics 36, no. 1 (March 1996): 122–34. http://dx.doi.org/10.1007/bf01740549.

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Bilbao, Stefan, Michele Ducceschi, and Fabiana Zama. "Explicit exactly energy-conserving methods for Hamiltonian systems." Journal of Computational Physics 472 (January 2023): 111697. http://dx.doi.org/10.1016/j.jcp.2022.111697.

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Barletti, L., L. Brugnano, G. Frasca Caccia, and F. Iavernaro. "Energy-conserving methods for the nonlinear Schrödinger equation." Applied Mathematics and Computation 318 (February 2018): 3–18. http://dx.doi.org/10.1016/j.amc.2017.04.018.

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Cheng, Yingda, Andrew J. Christlieb, and Xinghui Zhong. "Energy-conserving discontinuous Galerkin methods for the Vlasov–Maxwell system." Journal of Computational Physics 279 (December 2014): 145–73. http://dx.doi.org/10.1016/j.jcp.2014.08.041.

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Xing, Yulong, Ching-Shan Chou, and Chi-Wang Shu. "Energy conserving local discontinuous Galerkin methods for wave propagation problems." Inverse Problems & Imaging 7, no. 3 (2013): 967–86. http://dx.doi.org/10.3934/ipi.2013.7.967.

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Zolghadr Jahromi, H., and B. A. Izzuddin. "Energy conserving algorithms for dynamic contact analysis using Newmark methods." Computers & Structures 118 (March 2013): 74–89. http://dx.doi.org/10.1016/j.compstruc.2012.07.012.

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Cheng, Yingda, Andrew J. Christlieb, and Xinghui Zhong. "Energy-conserving discontinuous Galerkin methods for the Vlasov–Ampère system." Journal of Computational Physics 256 (January 2014): 630–55. http://dx.doi.org/10.1016/j.jcp.2013.09.013.

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Fu, Guosheng, and Chi-Wang Shu. "Optimal energy-conserving discontinuous Galerkin methods for linear symmetric hyperbolic systems." Journal of Computational Physics 394 (October 2019): 329–63. http://dx.doi.org/10.1016/j.jcp.2019.05.050.

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Brugnano, Luigi, Juan I. Montijano, and Luis Rández. "High-order energy-conserving Line Integral Methods for charged particle dynamics." Journal of Computational Physics 396 (November 2019): 209–27. http://dx.doi.org/10.1016/j.jcp.2019.06.068.

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Li, Xiaole, Weizhou Sun, Yulong Xing, and Ching-Shan Chou. "Energy conserving local discontinuous Galerkin methods for the improved Boussinesq equation." Journal of Computational Physics 401 (January 2020): 109002. http://dx.doi.org/10.1016/j.jcp.2019.109002.

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Dissertations / Theses on the topic "Energy Conserving Methods"

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Boujelben, Abir. "Géante éolienne offshore (GEOF) : analyse dynamique des pales flexibles en grandes transformations." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2442.

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L’objectif de ce travail porte sur le développement d’un modèle d’interaction fluide-structure adapté à la dynamique des éoliennes de grandes tailles avec des pales flexibles qui se déforment de manière significative sous l’effet de la pression exercée par le vent. Le modèle développé est basé sur une approche efficace d’IFS partitionnée pour un fluide incompressible et non visqueux en interaction avec une structure flexible soumise a des grandes transformations. Il permet de fournir une meilleure estimation de la charge aérodynamique et de la réponse dynamique associée du système (pales, mat, attachements, câbles) avec un temps de calcul raisonnable et pour des simulations sur des longues périodes. Pour la modélisation structurale, un élément fini de type solide 3D est développé pour l’étude dynamique des pales d’éolienne soumises à des grands déplacements et des grandes rotations. Une amélioration du comportement en flexion est proposée par l’introduction des degrés de liberté en rotation et l’enrichissement du champ de déplacements afin de décrire plus précisément la flexibilité des pales. Cet élément solide est apte de capter des modes de hautes fréquences qui peuvent s’avérer néfastes pour la stabilité du calcul. Deux techniques sont donc proposées pour les contrôler : la régularisation de la matrice masse et le développement des schémas d’intégration robustes de conservation et de dissipation d’énergie. Les chargements aérodynamiques sont modélisés en utilisant la Panel Method. Il s’agit d’une méthode aux frontières, relativement rapide par rapport à la CFD mais suffisamment précise pour calculer la distribution de la pression exercée sur la pale. Les modèles fluide et structure interagissent via un algorithme de couplage partitionné itératif dans lequel des considérations particulières sont prises en compte dans le contexte des grandes transformations. Dans un effort visant à instaurer un indicateur de fatigue dans la méthodologie proposée, des câbles précontraints sont introduits reliant le mat de l’éolienne au support. Une nouvelle formulation complémentaire en termes de contraintes est ainsi développée pour l’analyse dynamique des câbles 3D en comportement élasto-visco-plastique. Chaque méthode proposée a été d’abord validée sur des cas tests pertinents. Par la suite, des simulations numériques d’éoliennes avec des pales flexibles sont effectuées en vue d’affiner la compréhension de leur comportement dynamique et l’intérêt que la flexibilité des pales peut apporter à leur fonctionnement
In this work, a numerical model of fluid-structure interaction is developed for dynamic analysis of giant wind turbines with flexible blades that can deflect significantly under wind loading. The model is based on an efficient partitioned FSI approach for incompressible and inviscid flow interacting with a flexible structure undergoing large transformations. It seeks to provide the best estimate of true design aerodynamic load and the associated dynamic response of such system (blades, tower, attachments, cables). To model the structure, we developed a 3D solid element to analyze geometrically nonlinear statics and dynamics of wind turbine blades undergoing large displacements and rotations. The 3D solid bending behavior is improved by introducing rotational degrees of freedom and enriching the approximation of displacement field in order to describe the flexibility of the blades more accurately. This solid iscapable of representing high frequencies modes which should be taken under control. Thus, we proposed a regularized form of the mass matrix and robust time-stepping schemes based on energy conservation and dissipation. Aerodynamic loads are modeled by using the 3D Vortex Panel Method. Such boundary method is relatively fast to calculate pressure distribution compared to CFD and provides enough precision. The aerodynamic and structural parts interact with each other via a partitioned coupling scheme with iterative procedure where special considerations are taken into account for large overall motion. In an effort to introduce a fatigue indicator within the proposed framework, pre-stressed cables are added to the wind turbine, connecting the tower to the support and providing more stability. Therefore, a novel complementary force-based finite element formulation is constructed for dynamic analysis of elasto-viscoplastic cables. Each of theproposed methods is first validated with differents estexamples.Then,several numerical simulations of full-scale wind turbines are performed in order to better understand its dynamic behavior and to eventually optimize its operation
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Nguyen, Cong Uy. "Hybrid stress visco-plasticity : formulation, discrete approximation, and stochastic identification." Thesis, Compiègne, 2022. http://www.theses.fr/2022COMP2695.

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Dans cette thèse, une nouvelle approche est développée pour les problèmes de viscoplasticité et de dynamique non linéaire. En particulier, les équations variationnelles sont élaborées selon le principe de Helligner-Reissner, de sorte que les champs de contrainte et de déplacement apparaissent comme des champs inconnus sous la forme faible. Trois nouveaux éléments finis sont développés. Le premier élément fini est formulé pour le problème axisymétrique, dans lequel le champ de contraintes est approximé par des polynômes d’ordre inférieur tels que des fonctions linéaires. Cette approche donne des solutions précises spécifiquement dans les problèmes incompressibles et rigides. De plus, un élément fini de flexion de membrane et de plaque est nouvellement conçu en discrétisant le champ de contraintes en utilisant l’espace vectoriel de Raviart-Thomas d’ordre le plus bas RT0. Cette approche garantit la continuité du champ de contraintes sur tout un domaine discret, ce qui est un avantage significatif dans la méthode numérique, notamment pour les problèmes de propagation des ondes. Les développements sont effectués pour le comportement constitutif visco-plastique des matériaux, où les équations d’évolution correspondantes sont obtenues en faisant appel au principe de dissipation maximale. Pour résoudre les équations d’équilibre dynamique, des schémas de conservation et de décroissance de l’énergie sont formulés en conséquence. Le schéma de conservation de l’énergie est inconditionnellement stable, car il peut préserver l’énergie totale d’un système donné sous une vibration libre, tandis que le schéma décroissant peut dissiper des modes de vibration à plus haute fréquence. La dernière partie de cette thèse présente les procédures d’upscaling du comportement des matériaux visco-plastiques. Plus précisément, la mise à l’échelle est effectuée par une méthode d’identification stochastique via une mise à jour baysienne en utilisant le filtre de Gauss-Markov-Kalman pour l’assimilation des propriétés importantes des matériaux dans les régimes élastique et inélastique
In this thesis, a novel approach is developed for visco-plasticity and nonlinear dynamics problems. In particular, variational equations are elaborated following the Helligner-Reissner principle, so that both stress and displacement fields appear as unknown fields in the weak form. Three novel finite elements are developed. The first finite element is formulated for the axisymmetric problem, in which the stress field is approximated by low-order polynomials such as linear functions. This approach yields accurate solutions specifically in incompressible and stiff problems. In addition, a membrane and plate bending finite element are newly designed by discretizing the stress field using the lowest order Raviart-Thomas vector space RT0. This approach guarantees the continuity of the stress field over an entire discrete domain, which is a significant advantage in the numerical method, especially for the wave propagation problems. The developments are carried out for the viscoplastic constitutive behavior of materials, where the corresponding evolution equations are obtained by appealing to the principle of maximum dissipation. To solve the dynamic equilibrium equations, energy conserving and decaying schemes are formulated correspondingly. The energy conserving scheme is unconditional stable, since it can preserve the total energy of a given system under a free vibration, while the decaying scheme can dissipate higher frequency vibration modes. The last part of this thesis presents procedures for upscaling of the visco-plastic material behavior. Specifically, the upscaling is performed by stochastic identification method via Baysian updating using the Gauss-Markov-Kalman filter for assimilation of important material properties in the elastic and inelastic regimes
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FRASCA, CACCIA GIANLUCA. "A new efficient implementation for HBVMs and their application to the semilinear wave equation." Doctoral thesis, 2015. http://hdl.handle.net/2158/992629.

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In this thesis we have provided a detailed description of the low-rank Runge-Kutta family of Hamiltonian Boundary Value Methods (HBVMs) for the numerical solution of Hamiltonian problems. In particular, we have studied in detail their main property: the conservation of polynomial Hamiltonians, which results into a practical conservation for generic suitably regular Hamiltonians. This property turns out to play a fundamental role in some problems where the error on the Hamiltonian, usually obtained even when using a symplectic method, would be not negligible to the point of affecting the dynamics of the numerical solution. The research developed in this thesis has addressed two main topics. The first one is a new procedure, based on a particular splitting of the matrix defining the method, which turns out to be more effective of the well-known blended-implementation, as well as of a classical fixed-point iteration when the problem at hand is stiff. This procedure has been applied also to second order problems with separable Hamiltonian function, resulting in a cheaper computational cost. The second topic addressed is the application of HBVMs for the full discretization of a method of lines approach to numerically solve Hamiltonian PDEs. In particular, we have considered the semilinear wave equation coupled with either periodic, Dirichlet or Neumann boundary conditions, and the application of a (practically) energy conserving HBVM method to the semi-discrete problem obtained by means of a second order finite-difference approximation in space. When the problem is coupled with periodic boundary conditions we have also considered the case of higher-order finite-difference spatial discretizations and the case when a Fourier-Galerkin method is used for the spatial semi-discretization. The proposed methods are able to provide a numerical solution such that the energy (which can be conserved or not, depending on the assigned boundary conditions) practically satisfies its prescribed variation in time. A few numerical tests for the sine-Gordon equation have given evidence that, for some problems, there is an effective advantage in using an energy-conserving method for the time integration, with respect to the use of a symplectic one. Moreover, even though HBVMs are implicit method, their computational cost for the considered problem turns out to be competitive even with respect to that of explicit solvers of the same order, which, furthermore, may suffer from stepsize restrictions due to stability reasons, whereas HBVMs are A-stable.
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Ramabathiran, Amuthan Arunkumar. "Wave Propagation In Hyperelastic Waveguides." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2327.

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The analysis of wave propagation in hyperelastic waveguides has significant applications in various branches of engineering like Non-Destructive Testing and Evaluation, impact analysis, material characterization and damage detection. Linear elastic models are typically used for wave analysis since they are sufficient for many applications. However, certain solids exhibit inherent nonlinear material properties that cannot be adequately described with linear models. In the presence of large deformations, geometric nonlinearity also needs to be incorporated in the analysis. These two forms of nonlinearity can have significant consequences on the propagation of stress waves in solids. A detailed analysis of nonlinear wave propagation in solids is thus necessary for a proper understanding of these phenomena. The current research focuses on the development of novel algorithms for nonlinear finite element analysis of stress wave propagation in hyperelastic waveguides. A full three-dimensional(3D) finite element analysis of stress wave propagation in waveguides is both computationally difficult and expensive, especially in the presence of nonlinearities. By definition, waveguides are solids with special geometric features that channel the propagation of stress waves along certain preferred directions. This suggests the use of kinematic waveguide models that take advantage of the special geometric features of the waveguide. The primary advantage of using waveguide models is the reduction of the problem dimension and hence the associated computational cost. Elementary waveguide models like the Euler-Bernoulli beam model, Kirchoff plate model etc., which are developed primarily within the context of linear elasticity, need to be modified appropriately in the presence of material/geometric nonlinearities and/or loads with high frequency content. This modification, besides being non-trivial, may be inadequate for studying nonlinear wave propagation and higher order waveguide models need to be developed. However, higher order models are difficult to formulate and typically have complex governing equations for the kinematic modes. This reflects in the relatively scarce research on the development of higher order waveguide models for studying nonlinear wave propagation. The formulation is difficult primarily because of the complexity of both the governing equations and their linearization, which is required as part of a nonlinear finite element analysis. One of the primary contributions of this thesis is the development and implementation of a general, flexible and efficient framework for automating the finite element analysis of higher order kinematic models for nonlinear waveguides. A hierarchic set of higher order waveguide models that are compatible with this formulation are proposed for this purpose. This hierarchic series of waveguide models are similar in form to the kinematic assumptions associated with standard waveguide models, but are different in the sense that no conditions related to the stress distribution specific to a waveguide are imposed since that is automatically handled by the proposed algorithm. The automation of the finite element analysis is accomplished with a dexterous combination of a nodal degrees-of-freedom based assembly algorithm, automatic differentiation and a novel procedure for numerically computing the finite element matrices directly from a given waveguide model. The algorithm, however, is quite general and is also developed for studying nonlinear plane stress configurations and inhomogeneous structures that require a coupling of continuum and waveguide elements. Significant features of the algorithm are the automatic numerical derivation of the finite element matrices for both linear and nonlinear problems, especially in the context of nonlinear plane stress and higher order waveguide models, without requiring an explicit derivation of their algebraic forms, automatic assembly of finite element matrices and the automatic handling of natural boundary conditions. Full geometric nonlinearity and the hyperelastic form of material nonlinearity are considered in this thesis. The procedures developed here are however quite general and can be extended for other types of material nonlinearities. Throughout this thesis, It is assumed that the solids under investigation are homogeneous and isotropic. The subject matter of the research is developed in four stages: First, a comparison of different finite element discretization schemes is carried out using a simple rod model to choose the most efficient computational scheme to study nonlinear wave propagation. As part of this, the frequency domain Fourier spectral finite element method is extended for a special class of weakly nonlinear problems. Based on this comparative study, the Legendre spectral element method is identified as the most efficient computational tool. The efficiency of the Legendre spectral element is also illustrated in the context of a nonlinear Timoshenko beam model. Since the spectral element method is a special case of the standard nonlinear finite element Method, differing primarily in the choice of the element basis functions and quadrature rules, the automation of the standard nonlinear finite element method is undertaken next. The automatic finite element formulation and assembly algorithm that constitutes the most significant contribution of this thesis is developed as an efficient numerical alternative to study the physics of wave propagation in nonlinear higher order structural models. The development of this algorithm and its extension to a general automatic framework for studying a large class of problems in nonlinear solid mechanics forms the second part of this research. Of special importance are the automatic handling of nonlinear plane stress configurations, hierarchic higher order waveguide models and the automatic coupling of continuum and higher order structural elements using specially designed transition elements that enable an efficient means to study waveguides with local inhomogeneities. In the third stage, the automatic algorithm is used to study wave propagation in hyperelastic waveguides using a few higher order 1D kinematic models. Two variants of a particular hyperelastic constitutive law – the6-constantMurnaghanmodel(for rock like solids) and the 9-constant Murnaghan model(for metallic solids) –are chosen for modeling the material nonlinearity in the analysis. Finally, the algorithm is extended to study energy-momentum conserving time integrators that are derived within a Hamiltonian framework, thus illustrating the extensibility of the algorithm for more complex finite element formulations. In short, the current research deals primarily with the identification and automation of finite element schemes that are most suited for studying wave propagation in hyper-elastic waveguides. Of special mention is the development of a novel unified computational framework that automates the finite element analysis of a large class of problems involving nonlinear plane stress/plane strain, higher order waveguide models and coupling of both continuum and waveguide elements. The thesis, which comprises of 10 chapters, provides a detailed account of various aspects of hyperelastic wave propagation, primarily for 1D waveguides.
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Books on the topic "Energy Conserving Methods"

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Alberta. Scientific and Engineering Services and Research Division. Energy-conserving characteristics of common building materials and methods. Edmonton: Alberta Energy, Scientific and Engineering Services and Research Division, 1987.

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Book chapters on the topic "Energy Conserving Methods"

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Betsch, Peter, and Christian Hesch. "Energy-Momentum Conserving Schemes for Frictionless Dynamic Contact Problems." In IUTAM Symposium on Computational Methods in Contact Mechanics, 77–96. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6405-0_5.

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Wu, Jingjing, Peng Liu, Lu Gan, Yongrui Qin, and Weiwei Sun. "Energy-Conserving Fragment Methods for Skewed XML Data Access in Push-Based Broadcast." In Web-Age Information Management, 590–601. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23535-1_50.

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Ranocha, Hendrik. "Entropy Conserving and Kinetic Energy Preserving Numerical Methods for the Euler Equations Using Summation-by-Parts Operators." In Lecture Notes in Computational Science and Engineering, 525–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39647-3_42.

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De Toro, Pasquale, and Silvia Iodice. "Urban Metabolism Evaluation Methods: Life Cycle Assessment and Territorial Regeneration." In Regenerative Territories, 213–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78536-9_13.

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AbstractUrban Metabolism (UM) is a scientific phenomenon that comprises individual processes taking place in all cities at different spatial and temporal scales and that is based on the principle of conserving mass and energy. Analysing the metabolism of a city allows one to evaluate the impacts of urban functioning, taking into account the flows of energy, water, nutrients and waste and the materials in general that circulate within a city, and contributing to a multidimensional assessment of sustainability. Many authors have explored the phenomenon of UM and experimented with indices and evaluation methods, but there is still no consensus on the best assessment methods to use.The present paper presents an overview of UM assessment methods, particularly Life Cycle Assessment (LCA) and its possible uses for supporting territorial regeneration. A literature analysis is conducted of the evolution of this method in relation to scales that are different from the single product scale. LCA aims to assess the environmental impacts of the life cycles of single industrial products and services, but over the years it has gained increased attention in the urban planning field. Life cycle, in general, refers to all the phases that characterise the life of elements, comprising not only a single product, but extending this concept also to the wider territorial system. The concept of the life cycle of territorial systems is related to the evolution of the territory as a heritage and as a system of environmental, social and economic resources and services, whose transformation is linked to the different forms of governance. The territorial life cycle is formed by interconnected phases, referred to as the sub-systems of the resources and performance of a territory, that follow a predefined plan scenario. Consequently, the life cycle concept can be compared to that of change and it is closely linked to the analogy of ecosystems and the urban environment, which views the city as an entity in constant transformation.In the last few years, there has been an increase in activity in the LCA application field, with the introduction of scale variations and of the distinction between applications at the level of the single product and applications at the meso and macro levels. In other words, this approach is evolving and applications and hypotheses involving scales different from the micro scale are becoming popular.In this regard, extending the LCA tool to a meso perspective on a municipal scale or an individual urban district scale could prove to be a valid tool for assessing the sustainability of a territory with regard to the metabolic flows and the evolution of its life cycle.
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Sumi, M. S., and R. S. Ganesh. "Energy-Conserving Cluster Method with Distance Criteria for Cognitive Radio Networks." In Lecture Notes in Electrical Engineering, 607–24. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3992-3_52.

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Mardamutu, Kanahavalli, Vasaki Ponnusamy, and Noor Zaman. "Green Energy in Data Centers." In Advances in Environmental Engineering and Green Technologies, 234–49. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9792-8.ch012.

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Green energy paradigm has been gaining popularity in the computing system from the software, hardware, infrastructure and application perspectives. Within that concept, data center greening is of utmost importance at the moment since data centers are one of the most energy conserving elements. Data centers are seen as the technology era's black energy-swallowing secret. Reducing energy consumption at data centers can reduce carbon footprint effect tremendously. Not addressing the issue immediately will lead to significant energy usage by data centers and will hinder the growth of data centers. The call for sustainable energy efficient data center leads to venturing into data center green computing. The green computing concept can be achieved by using several methods adopted by researchers including renewable energy, virtualization through cloud computing, proper cooling system, identifying suitable location to harvest energy whilst reducing the need for air-conditioning and employing suitable networking and information technology infrastructure. This paper focuses into several approaches used by researches to reduce energy consumption at data centers while deploying efficient database management system. This paper differs from others in the literature by giving some suitable solutions by looking into a hybrid model for green computing in data centers.
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Shivalkar, P. S., and B. K. Tripathy. "Rough Set Based Green Cloud Computing in Emerging Markets." In Encyclopedia of Information Science and Technology, Third Edition, 1078–87. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-5888-2.ch103.

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Cloud computing represents a paradigm shift and it can be applied to a wide range of areas, including e-commerce, health, education, communities, etc which are emerging as the important sectors in today's market. Day-by-day more knowledge is added to the Internet and is shared amongst the users over the cloud resulting in increase of energy consumption which needs to be managed. This usage can be brought into account for measuring and hence conserving the energy. The consumption is all together considered for the processing, storage and transport of the knowledge granules over the cloud. Since the data accessed in the cloud is “on-demand,” the prediction techniques like those using rough sets can be used to minimize the transfer of data over the cloud networks. The data over the cloud can be procured with the help of rough set based methods efficiently which can help in conserving the energy. In this chapter, we propose a neighbourhood based rough set approach, which is efficient in handling heterogeneous features for knowledge acquisition using MapReduce from BigData. Also, we discuss how green cloud computing can be helpful in increasing the efficiency of emerging markets. Some future trends researches have also been proposed.
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Mathew, Rejo Rajan, and Vikram Kulkarni. "Cloud-Based IoT Architecture for Green Buildings." In Industrial Internet of Things and Cyber-Physical Systems, 61–75. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2803-7.ch004.

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Green building (GB) is a game changer as the world is moving towards conserving its resources. Green building management systems available nowadays are too expensive and cannot cater to small or medium-sized buildings. Internet of things-based systems use simple, low-cost sensors, signal processing, and high-level learning methods. Studies on building occupancy and human activities help improve design and push the energy conservation levels. With huge amounts of data and improved learning systems, the impetus is to capture the information and use it well to improve design and justify the green building concept. Cloud-based architecture helps to monitor, capture, and process the data, which acts as input to intelligent learning systems, which in turn help to improve the design and performance of current green building management systems. This chapter discusses role of cloud-based internet of things architecture in improving design and performance of current building management systems.
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Mathew, Rejo Rajan, and Vikram Kulkarni. "Cloud-Based IoT Architecture for Green Buildings." In Research Anthology on Environmental and Societal Well-Being Considerations in Buildings and Architecture, 73–87. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9032-4.ch003.

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Green building (GB) is a game changer as the world is moving towards conserving its resources. Green building management systems available nowadays are too expensive and cannot cater to small or medium-sized buildings. Internet of things-based systems use simple, low-cost sensors, signal processing, and high-level learning methods. Studies on building occupancy and human activities help improve design and push the energy conservation levels. With huge amounts of data and improved learning systems, the impetus is to capture the information and use it well to improve design and justify the green building concept. Cloud-based architecture helps to monitor, capture, and process the data, which acts as input to intelligent learning systems, which in turn help to improve the design and performance of current green building management systems. This chapter discusses role of cloud-based internet of things architecture in improving design and performance of current building management systems.
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Joshi, R. C., Manoj Misra, and Narottam Chand. "Energy-Efficient Cache Invalidation in Wireless Mobile Environment." In Mobile Computing, 3012–20. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch226.

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Caching at the mobile client is a potential technique that can reduce the number of uplink requests, lighten the server load, shorten the query latency and increase the data availability. A cache invalidation strategy ensures that any data item cached at a mobile client has same value as on the origin server. Traditional cache invalidation strategies make use of periodic broadcasting of invalidation reports (IRs) by the server. The IR approach suffers from long query latency, larger tuning time and poor utilization of bandwidth. Using updated invalidation report (UIR) method that replaces a small fraction of the recent updates, the query latency can be reduced. To improve upon the IR and UIR based strategies, this chapter presents a synchronous stateful cache maintenance technique called Update Report (UR). The proposed strategy outperforms the IR and UIR strategies by reducing the query latency, minimizing the disconnection overheads, optimizing the use of wireless channel and conserving the client energy.
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Conference papers on the topic "Energy Conserving Methods"

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Bartelt, Matthias, and Michael Groß. "ENERGY CONSERVING TIME INTEGRATION BASED ON GALERKIN-VARIATIONAL INTEGRATORS WITH CONSTRAINTS." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.1916.4537.

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Gaouda, Ahmed, Mohammed Abdel-Hafez, Mahmoud Alahmad, Khaled Shuaib, Nasser Aljuhaishi, and Hamid Sharif. "Conserving energy in UAE buildings: Demand side management and methods for experiencing energy." In 2013 7th IEEE GCC Conference and Exhibition (GCC). IEEE, 2013. http://dx.doi.org/10.1109/ieeegcc.2013.6705744.

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Groß, Michael, Rajesh Ramesh, and Julian Dietzsch. "ENERGY AND MOMENTUM CONSERVING VARIATIONAL BASED TIME INTEGRATION OF ANISOTROPIC HYPERELASTIC CONTINUA." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.1918.7883.

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Kalaimani, I., J. Dietzsch, and M. Groß. "Energy-momentum conserving dynamic variational modeling of fiber-bending stiffness in composites." In 8th European Congress on Computational Methods in Applied Sciences and Engineering. CIMNE, 2022. http://dx.doi.org/10.23967/eccomas.2022.109.

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Broderick, John, Dawn Tilbury, and Ella Atkins. "Maximizing Coverage for Mobile Robots While Conserving Energy." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70443.

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This paper presents a method to compare area coverage paths in the context of energy efficiency. We examine cover-age paths created from the Boustrophedon Decomposition and Spanning Tree methods in an optimal control setting. Our cost function weights the force inputs to drive the robot and the currently uncovered region. We derive an optimal traversal of the path in a point-to-point manner. In particular, we introduce a meas function that represents the percentage of the area that is still to be visited. The effect of meas on the optimal traversal is derived. Trade-offs between area covered versus the time and energy required are presented. A simple trajectory modification allows the vehicle to continue moving through a turn to reduce energy consumption.
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Barletti, L., L. Brugnano, G. Frasca Caccia, and F. Iavernaro. "Solving the nonlinear Schrödinger equation using energy conserving Hamiltonian boundary value methods." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992336.

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Dopico, Daniel, Javier Cuadrado, Juan C. Garcia Orden, and Alberto Luaces. "Application Criteria for Conserving Integrators and Projection Methods in Multibody Dynamics." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35627.

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This work presents the application to the dynamics of multibody systems of two methods based on augmented Lagrangian techniques, compares them, and gives some criteria for its use in realistic problems. The methods are an augmented Lagrangian method with orthogonal projections of velocities and accelerations, and an augmented Lagrangian energy conserving method. Both methods were presented by the authors in a very recent work, but it was not complete since the testing and the comparison of the methods was done by simulating a simple and academic example, and that was not sufficient to draw conclusions in terms of efficiency. For this work, the whole model of a vehicle has been simulated through both formulations, and their performance compared for such a large and realistic problem.
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Zaman, M. S., and M. G. Satish. "Mesoscale Modeling of Non-Isothermal Fluid Displacement in Capillary Tube Using Dissipative Particle Dynamics." In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83485.

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It is crucial to understand how one fluid is displaced by another at different temperature through a capillary, as many industrial and reservoir enhanced recovery methods fall into this category. Dissipative particle dynamics (DPD) method has been successfully applied to model mesoscale behaviors of many processes. In this paper, DPD method with energy conservation has been applied to model non-isothermal fluid displacement in capillary tube. Validation of the in-house computer code written in C# is carried out by modeling isothermal no-slip fluid flow. Simulation of non-isothermal fluid displacement using energy conserving DPD gives insight about the parameters affecting the flow.
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Zaman, M. S., and M. G. Satish. "Mesoscale Modeling of Non-Isothermal Fluid Displacement in Capillary Tube Using Dissipative Particle Dynamics." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-11549.

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It is crucial to understand how one fluid is displaced by another at different temperature through a capillary, as many industrial and reservoir enhanced recovery methods fall into this category. Dissipative particle dynamics (DPD) method has been successfully applied to model mesoscale behaviors of many processes. In this paper, DPD method with energy conservation has been applied to model non-isothermal fluid displacement in capillary tube. Validation of the in-house computer code written in C# is carried out by modeling isothermal no-slip fluid flow. Simulation of non-isothermal fluid displacement using energy conserving DPD gives insight about the parameters affecting the flow.
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Kalaimani, Iniyan, Julian Dietzsch, and Michael Gross. "Momentum conserving dynamic variational approach for the modeling of fiber-bending stiffness in fiber-reinforced composites." In VI ECCOMAS Young Investigators Conference. València: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/yic2021.2021.12367.

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Rotor-dynamical systems made of 3D-fiber-reinforced composites which are subjected to dynamical loads exhibit an increased fiber bending stiffness in numerical simulations. We propose a numerical modeling approach of fiber-reinforced composites that treats this behaviour accurately. Our model uses a multi-field mixed finite element formulation based on a dynamic variational approach, as demonstrated in [1], to perform long-term dynamic simulations that yield numerical solutions with increased accuracy in efficient CPU-time.We extend a Cauchy continuum with higher-order gradients of the deformation mapping as an independent field in the functional formulation, as suggested in [2], to model the bending stiffness of fibers accurately. This extended continuum also takes into account the higher-order energy contributions including the fiber curvature along with popular proven approaches that avoid the numerical locking effect of the fibers efficiently.We apply the proposed approach on Cook’s cantilever beam with a hyperelastic, transversely isotropic, polyconvex material behavior in a transient dynamic analysis. The beam is subjected to bending loads with a strong dependence of the overall stiffness on the fiber orientation. The spatial and temporal convergence as well as the conservation properties are analyzed. It is observed that the model needs an improved numerical treatment to conserve total momenta as well as total energy.REFERENCES M. Groß and J. Dietzsch, "Variational-based locking-free energy–momentum schemes of higher-order for thermo-viscoelastic fiber-reinforced continua", Computer Methods in Applied Mechanics and Engineering, (2019), 631-671, 343. T. Asmanoglo and A. Menzel, “A multi-field finite element approach for the modelling of fibre-reinforced composites with fibre-bending stiffness”, Computer Methods in Applied Mechanics and Engineering, (2017), 1037-1067, 317.
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Reports on the topic "Energy Conserving Methods"

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McPherson, Allen L., Dana A. Knoll, Emmanuel B. Cieren, Nicolas Feltman, Christopher A. Leibs, Colleen McCarthy, Karthik S. Murthy, and Yijie Wang. A 2-D Implicit, Energy and Charge Conserving Particle In Cell Method. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1050467.

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McPherson, Allen L., Dana A. Knoll, Emmanuel B. Cieren, Nicolas Feltman, Christopher A. Leibs, Colleen McCarthy, Karthik S. Murthy, and Yijie Wang. IS&T CoDesign Summer School 2012 Lessons Learned; A 2D, implicit, energy- and charge- conserving electromagnetic particle in cell method. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053126.

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