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Author: Ahmed Belasri Publisher: Springer Nature ISBN: 9811554447 Category : Technology & Engineering Languages : en Pages : 659
Book Description
This book highlights peer reviewed articles from the 1st International Conference on Renewable Energy and Energy Conversion, ICREEC 2019, held at Oran in Algeria. It presents recent advances, brings together researchers and professionals in the area and presents a platform to exchange ideas and establish opportunities for a sustainable future. Topics covered in this proceedings, but not limited to, are photovoltaic systems, bioenergy, laser and plasma technology, fluid and flow for energy, software for energy and impact of energy on the environment.
Author: Ahmed Belasri Publisher: Springer Nature ISBN: 9811554447 Category : Technology & Engineering Languages : en Pages : 659
Book Description
This book highlights peer reviewed articles from the 1st International Conference on Renewable Energy and Energy Conversion, ICREEC 2019, held at Oran in Algeria. It presents recent advances, brings together researchers and professionals in the area and presents a platform to exchange ideas and establish opportunities for a sustainable future. Topics covered in this proceedings, but not limited to, are photovoltaic systems, bioenergy, laser and plasma technology, fluid and flow for energy, software for energy and impact of energy on the environment.
Author: Heiner Klinkrad Publisher: Springer Science & Business Media ISBN: 3540376747 Category : Technology & Engineering Languages : en Pages : 438
Book Description
The future evolution of the debris environment will be forecast on the basis of traffic models and possible hazard mitigation practices. The text shows how large trackable objects will have re-entry pinpointed and predictions made on related risk assessment for possible ground impact. Models will also be described for meteoroids which are also a prevailing risk.
Author: Manuel D. Salas Publisher: Springer Science & Business Media ISBN: 9401147248 Category : Science Languages : en Pages : 385
Book Description
Turbulence modeling both addresses a fundamental problem in physics, 'the last great unsolved problem of classical physics,' and has far-reaching importance in the solution of difficult practical problems from aeronautical engineering to dynamic meteorology. However, the growth of supercom puter facilities has recently caused an apparent shift in the focus of tur bulence research from modeling to direct numerical simulation (DNS) and large eddy simulation (LES). This shift in emphasis comes at a time when claims are being made in the world around us that scientific analysis itself will shortly be transformed or replaced by a more powerful 'paradigm' based on massive computations and sophisticated visualization. Although this viewpoint has not lacked ar ticulate and influential advocates, these claims can at best only be judged premature. After all, as one computational researcher lamented, 'the com puter only does what I tell it to do, and not what I want it to do. ' In turbulence research, the initial speculation that computational meth ods would replace not only model-based computations but even experimen tal measurements, have not come close to fulfillment. It is becoming clear that computational methods and model development are equal partners in turbulence research: DNS and LES remain valuable tools for suggesting and validating models, while turbulence models continue to be the preferred tool for practical computations. We believed that a symposium which would reaffirm the practical and scientific importance of turbulence modeling was both necessary and timely.
Author: Katherine Mer Publisher: ISBN: 9782726110492 Category : Languages : en Pages : 144
Book Description
LE TRAVAIL PRESENTE DANS CETTE THESE EST PRINCIPALEMENT UNE CONTRIBUTION A L'ANALYSE D'APPROXIMATIONS STABILISEES POUR DES PROBLEMES DE CONVECTION-DIFFUSION LINEAIRES. UNE ETUDE NUMERIQUE D'UN PROBLEME D'INTERACTION FLUIDE-STRUCTURE EST EGALEMENT PRESENTEE. POUR UNE EQUATION DE CONVECTION-DIFFUSION STATIONNAIRE, ON ANALYSE LA PRECISION D'UN SCHEMA ELEMENTS FINIS COMPORTANT UN TERME DE STABILISATION SOUS FORME DE DISSIPATION DU QUATRIEME ORDRE. DANS UNE PREMIERE PARTIE, ON SE RESTREINT A UNE ANALYSE POUR DES MAILLAGES SIMPLICIAUX REGULIERS AU SENS DES ELEMENTS FINIS. POUR UN PROBLEME DANS IR#N AVEC N 3, ON OBTIENT DES ESTIMATIONS DE L'ERREUR D'APPROXIMATION DANS L#2 ET DANS H#1 POUR UNE DISSIPATION SOUS FORME VARIATIONNELLE. DANS LE CAS BIDIMENSIONNEL, ON ETUDIE PLUS PARTICULIEREMENT UN SCHEMA DE TYPE JAMESON, COMPOSE D'UNE PARTIE CENTREE DE TYPE MIXTE ELEMENTS FINIS/VOLUMES FINIS ET D'UNE DISSIPATION EN DIFFERENCES QUATRIEMES NON CONSISTANTE. DANS UNE DEUXIEME PARTIE, ON CONSIDERE L'APPROXIMATION D'UN PROBLEME DE CONVECTION-DIFFUSION DONT LA SOLUTION PRESENTE DES COUCHES LIMITES. ON OBTIENT DES ESTIMATIONS D'ERREUR DANS LA NORME DE L'ENERGIE POUR UN SCHEMA ELEMENTS FINIS AVEC UNE DISSIPATION DU QUATRIEME ORDRE CONSISTANTE, POUR DES MAILLAGES TRIANGULAIRES LOCALEMENT ANISOTROPES DANS LES COUCHES LIMITES. LE SCHEMA ETUDIE EST COMPARE A DES SCHEMAS VOLUMES FINIS DU SECOND ORDRE. DANS UNE TROISIEME PARTIE, ON ANALYSE LA CONSISTANCE LOCALE DES SCHEMAS AYANT LA PROPRIETE DE PRESERVATION DE LA LINEARITE, SUR DES MAILLAGES NON STRUCTURES. UNE QUATRIEME PARTIE EST CONSACREE A L'ETUDE NUMERIQUE D'UN SCHEMA IMPLICITE LINEARISE DANS LE CADRE DE L'ANALYSE DU FLOTTEMENT D'UN PROFIL D'AILE DANS UN ECOULEMENT
Author: Marius Kurz Publisher: ISBN: 9783843954518 Category : Languages : en Pages : 0
Book Description
The reliable prediction of turbulent flows is of crucial importance since turbulence is prevalent in the majority of flows found in science and engineering. Turbulence is a multi-scale phenomenon, for which flow features can span several orders of magnitude in size. This results in enormous resolution requirements in numerical simulations of turbulent flow. The framework of large eddy simulation relaxes these resolution demands by resolving only the largest, most energetic features of the flow and approximating the dynamics of the smaller, unresolved scales with turbulence models. The goal of this thesis is to leverage the recent advances in machine learning methods to formulate data-driven modeling strategies for implicitly filtered large eddy simulation. To this end, two modeling strategies are devised based on the supervised and the reinforcement learning paradigms. First, artificial neural networks are trained using supervised learning to recover the unknown closure terms from the filtered flow field. It is demonstrated that recurrent neural networks can predict the unknown closure terms with excellent accuracy. The second modeling strategy is based on the reinforcement learning paradigm. For this, Relexi is introduced as a novel reinforcement learning framework that allows to employ legacy flow solvers as training environments at scale. With Relexi, artificial neural networks are trained within forced homogeneous isotropic turbulence to adapt the parameters of traditional turbulence models dynamically in space and time. The trained models provide accurate and stable simulations and generalize well to other resolutions and higher Reynolds numbers. It is demonstrated within this thesis that machine learning methods can be applied to derive data-driven turbulence models for implicitly filtered large eddy simulation and that these models can be trained and incorporated efficiently into practical simulations on high-performance computing systems.
Author: Roland Schiestel Publisher: Iste Publishing Company ISBN: 9781905209910 Category : Turbulence Languages : en Pages : 0
Book Description
The book gives the fundamental basis for developing turbulence models on rational grounds. The main different methods of approach are considered, ranging from statistical modeling models at their various degrees of complexity to numerical simulations of turbulence. Each of these various methods has its own specific performances and limitations, and they appear to be complementary rather than competitive. After a presentation of the basic concepts, the mathematical tools and the methods for closure, the book considers the second order closure models.
Author: Olivier Metais Publisher: Springer Science & Business Media ISBN: 3662089750 Category : Science Languages : en Pages : 312
Book Description
Numerical large-eddy simulation techniques are booming at present and will have a decisive impact on industrial modeling and flow control. The book represents the general framework in physical and spectral space. It also gives the recent subgrid-scale models. Topics treated include compressible turbulence research, turbulent combustion, acoustic predictions, vortex dynamics in non-trivial geometries, flows in nuclear reactors and problems in atmospheric and geophysical sciences. The book addresses numerical analysts, physicists, and engineers.
Author: B. Mohammadi Publisher: ISBN: Category : Mathematics Languages : en Pages : 222
Book Description
Aimed at applied mathematicians interested in the numerical simulation of turbulent flows. Centered around the k-&epsis; model, it also deals with other models such as one equation models, subgrid scale models and Reynolds Stress models. Presents the k-&epsis; method for turbulence in a language familiar to applied mathematicians, but has none of the technicalities of turbulence theory.
Author: Ahmed Belasri
Author: Ahmed Belasri
Author: 
Author: Heiner Klinkrad
Author: Universidade de Coimbra
Author: Manuel D. Salas
Author: Katherine Mer
Author: Marius Kurz
Author: Roland Schiestel
Author: Olivier Metais
Author: B. Mohammadi