Bibliographies thématiques / Multi-coupled solver

Littérature scientifique sur le sujet « Multi-coupled solver »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Multi-coupled solver"

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Mulliken, J., et D. C. Rizos. « A coupled computational method for multi-solver, multi-domain transient problems in elastodynamics ». Soil Dynamics and Earthquake Engineering 34, no 1 (mars 2012) : 78–88. http://dx.doi.org/10.1016/j.soildyn.2011.10.004.

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Papadionysiou, Marianna, Kim Seongchan, Mathieu Hursin, Alexander Vasiliev, Hakim Ferroukhi, Andreas Pautz et Joo Han Gyu. « COUPLING OF nTRACER TO COBRA-TF FOR HIGH-FIDELITY ANALYSIS OF VVERs ». EPJ Web of Conferences 247 (2021) : 02008. http://dx.doi.org/10.1051/epjconf/202124702008.

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Paul Scherrer Institut is developing a high-resolution multi-physics core solver for VVER analysis. This work presents the preliminary stages of the development, specifically the coupling of the 3D pin-by-pin neutronic solver nTRACER to the sub-channel thermal-hydraulic code COBRA-TF for single assembly multi-physics steady state calculations. The coupling scheme and the modifications performed in the codes are described in details. The results of the coupled nTRACER/COBRA-TF calculations are compared to the ones of a standalone nTRACER calculation where the feedbacks are provided by a simplified 1D thermal-hydraulic solver. The agreement is very good with fuel temperature differences around 10 K which can be attributed to the different correlations used in the various solvers. The cross-comparison of the two multi-physics computational routes serves as a preliminary verification of the coupling scheme developed between nTRACER and COBRA-TF.
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Sashi Kumar, G. N., A. K. Mahendra et G. Gouthaman. « Multi-objective shape optimization using ant colony coupled computational fluid dynamics solver ». Computers & ; Fluids 46, no 1 (juillet 2011) : 298–305. http://dx.doi.org/10.1016/j.compfluid.2011.01.016.

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WANG, W. Q., L. X. ZHANG, X. Q. HE et Y. GUO. « LARGE EDDY SIMULATION OF HYDROELASTIC VIBRATION USING THE FINITE ELEMENT METHOD ». International Journal of Modern Physics B 24, no 24 (30 septembre 2010) : 4683–706. http://dx.doi.org/10.1142/s0217979210055871.

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This work is concerned with modeling the interaction of fluid flow with flexible solid structures. An improving spring smooth analogy and an improved constant volume transfer (ICVT) are used to provide fluid mesh control and transfer the information on the interfaces between fluid and structure, respectively. The time integrating algorithm is based on the predictor multi-corrector algorithm (PMA). An important aspect of this work is that we present a directly coupled approach, in which a large eddy simulation (LES) fluid solver and a structure solver have been coupled together to solve a hydroelasticity problem using the finite element method. To demonstrate the performance of the proposed approach, two working examples were used. One is the vibration of a beam immersed in incompressible fluid, another is the hydroelastic behavior of an ideal guide vane in a hydro turbine passage. The numerical results show the validity of the proposed approach.
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Falagkaris, E. J., D. M. Ingram, I. M. Viola et K. Markakis. « PROTEUS : A coupled iterative force-correction immersed-boundary multi-domain cascaded lattice Boltzmann solver ». Computers & ; Mathematics with Applications 74, no 10 (novembre 2017) : 2348–68. http://dx.doi.org/10.1016/j.camwa.2017.07.016.

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Zhang, Wei, Jin Song Bai et De Jun Sun. « A Multi-State HLL Approximate Riemann Solver for Solid/Vacuum Riemann Problem ». Applied Mechanics and Materials 872 (octobre 2017) : 393–98. http://dx.doi.org/10.4028/www.scientific.net/amm.872.393.

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A new multi-state HLLD (‘‘D’’ stands for Discontinuities.) approximate Riemann solver for Riemann problem of nonlinear elastic solid is developed based on the assumption that a wave configuration for the solution that consists of five waves (two slow waves, two fast waves and a contact discontinuity) separating six constant states. Since the intermediate states satisfied with the Rankine-Hugoniot relations in this approximate Riemann system are analytically obtained, the HLLD Riemann solver can be constructed straightforwardly. The Piecewise Parabolic Method (PPM) is used directly to construct high-order finite-volume schemes. Numerical tests demonstrate that the scheme PPM coupled with HLLD is robust and efficient. It indicates that the scheme PPM+ HLLD can be useful in practical applications for the non-linear elasticity.
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Ridley, Jeff K., Edward W. Blockley, Ann B. Keen, Jamie G. L. Rae, Alex E. West et David Schroeder. « The sea ice model component of HadGEM3-GC3.1 ». Geoscientific Model Development 11, no 2 (27 février 2018) : 713–23. http://dx.doi.org/10.5194/gmd-11-713-2018.

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Abstract. A new sea ice configuration, GSI8.1, is implemented in the Met Office global coupled configuration HadGEM3-GC3.1 which will be used for all CMIP6 (Coupled Model Intercomparison Project Phase 6) simulations. The inclusion of multi-layer thermodynamics has required a semi-implicit coupling scheme between atmosphere and sea ice to ensure the stability of the solver. Here we describe the sea ice model component and show that the Arctic thickness and extent compare well with observationally based data.
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Gomes, Pedro, et Rafael Palacios. « Aerodynamic-driven topology optimization of compliant airfoils ». Structural and Multidisciplinary Optimization 62, no 4 (14 mai 2020) : 2117–30. http://dx.doi.org/10.1007/s00158-020-02600-9.

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Abstract A strategy for density-based topology optimization of fluid-structure interaction problems is proposed that deals with some shortcomings associated to non stiffness-based design. The goal is to improve the passive aerodynamic shape adaptation of highly compliant airfoils at multiple operating points. A two-step solution process is proposed that decouples global aeroelastic performance goals from the search of a solid-void topology on the structure. In the first step, a reference fully coupled fluid-structure problem is solved without explicitly penalizing non-discreteness in the resulting topology. A regularization step is then performed that solves an inverse design problem, akin to those in compliant mechanism design, which produces a discrete-topology structure with the same response to the fluid loads. Simulations are carried out with the multi-physics suite SU2, which includes Reynolds-averaged Navier-Stokes modeling of the fluid and hyper-elastic material behavior of the geometrically nonlinear structure. Gradient-based optimization is used with the exterior penalty method and a large-scale quasi-Newton unconstrained optimizer. Coupled aerostructural sensitivities are obtained via an algorithmic differentiation based coupled discrete adjoint solver. Numerical examples on a compliant aerofoil with performance objectives at two Mach numbers are presented.
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Hu, Jianxin, Qing Xiao et Ruoxin Li. « Numerical Simulation of a Multi-Body System Mimicking Coupled Active and Passive Movements of Fish Swimming ». Journal of Marine Science and Engineering 9, no 3 (17 mars 2021) : 334. http://dx.doi.org/10.3390/jmse9030334.

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A multi-body system model is proposed for the mimicking of swimming fish with coupled active and passive movements. The relevant algorithms of the kinematics and dynamics of the multi-body system and coupled fluid solver are developed and fully validated. A simplified three-body model is applied for the investigation of the hydrodynamic performance of both an active pitch motion and passive movement. In general, there is an optimal stiffness, under which the model swims with the fastest velocity. The effect of the damper can be drawn only when the stiffness is small. Comparing with the rigid tail, the flexible tail leads to a faster speed when the stiffness and damping coefficients are in a suitable range.
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Savino, Alberto, Alessandro Cocco, Alex Zanotti, Matteo Tugnoli, Pierangelo Masarati et Vincenzo Muscarello. « Coupling Mid-Fidelity Aerodynamics and Multibody Dynamics for the Aeroelastic Analysis of Rotary-Wing Vehicles ». Energies 14, no 21 (25 octobre 2021) : 6979. http://dx.doi.org/10.3390/en14216979.

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A mid-fidelity aerodynamic solver based on the vortex particle method for wake modeling, DUST, is coupled through the partitioned multi-physics coupling library preCICE to a multibody dynamics code, MBDyn, to improve the accuracy of aeroelastic numerical analysis performed on rotary-wing vehicles. In this paper, the coupled tool is firstly validated by solving simple fixed-wing and rotary-wing problems from the open literature. The transient roll maneuver of a complete tiltrotor aircraft is then simulated, to show the capability of the coupled solver to analyze the aeroelasticity of complex rotorcraft configurations. Simulation results show the importance of the accurate representation of rotary wing aerodynamics provided by the vortex particle method for loads evaluation, aeroelastic stability assessment, and analysis of transient maneuvers of aircraft configurations characterized by complex interactional aerodynamics. The limited computational effort required by the mid-fidelity aerodynamic approach represents an effective trade-off in obtaining fast and accurate solutions that can be used for the preliminary design of novel rotary-wing vehicle configurations.
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Thèses sur le sujet "Multi-coupled solver"

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GIUSTI, ANDREA. « Development of numerical tools for the analysis of advanced airblast injection systems for lean burn aero-engine combustors ». Doctoral thesis, 2014. http://hdl.handle.net/2158/867029.

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The liquid fuel preparation has a strong impact on the combustion process and consequently on pollutant emissions. However, currently there are no validated and computational affordable methods available to predict the spray breakup process and to reliably compute the spray distribution generated after primary breakup. This research activity, carried out within the framework of the European project FIRST (Fuel Injector Research for Sustainable Transport), is aimed at developing reliable tools to be used in the industrial design process able to describe the processes involved in liquid fuel preparation in advanced injection systems based on prefilming airblast concept. A multi-coupled solver for prefilming airblast injectors which includes liquid film evolution and primary breakup was developed in the framework of OpenFOAM. The solver is aimed at improving the description of the complex physical phenomena characterizing liquid fuel preparation and spray evolution in advanced airblast injection systems within the context of typical RANS (U-RANS) industrial calculations. In this kind of injectors, gas-phase, droplet and liquid film interact with each other, thus, in order to properly predict spray evolution and fuel distribution inside the combustor, proper tools able to catch the most important interactions among the different phases are necessary. A steady-state Eulerian-Lagrangian approach was introduced in the code together with up-to-date evaporation and secondary breakup models. Particular attention was devoted to the liquid film primary breakup and to the interactions between gas-phase and liquid film. A new primary breakup model for liquid films, basically a phenomenological model which exploits liquid film and gas-phase solutions for the computation of spray characteristics after breakup, was developed and implemented in the code. Different formulations for the computation of droplet diameter after breakup were evaluated and revised on the basis of recent experimental findings. The multi-coupled solver was validated against literature test cases with detailed experimental measurements and eventually applied to the simulation of an advanced prefilming airblast injector based on the PERM concept in a tubular combustor configuration. The proposed approach allows us to better describe the fuel evolution in the injector region leading to a more comprehensive and physically consistent description of the phenomena regulating liquid fuel preparation compared to standard approaches which neglect the presence of liquid film and its interaction with both droplets and gas-phase.
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Chapitres de livres sur le sujet "Multi-coupled solver"

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Yao, Jie, et K. S. Yeo. « The Effect of Wing Mass and Wing Elevation Motion During Insect Forward Flight ». Dans Supercomputing Frontiers, 31–42. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10419-0_3.

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AbstractThis paper is concerned with the numerical simulation of the forward flight of a high Reynolds number flapping-wing flyer, modelled after the hummingbird hawkmoth (Macroglossum stellatarum). The numerical model integrated a Navier-Stokes solver with the Newtonian free-body dynamics of the model insect. The primary cyclic kinematics of wings were assumed to be sinusoidal for simplicity here, which comprises sweeping, elevating and twisting related wing actions. The free flight simulation is very computationally intensive due to the large mesh scale and the iterative solution for the FSI problem, so parallelization is essential in the numerical simulation. Two parallelization techniques are used in current simulation, i.e., open multi-processing (OpenMP) and graphics processing units (GPU) acceleration. The forward flight mainly consists of two stages, i.e., the body pitching down from the normal hovering posture and the following forward acceleration. During this process, the effect of the wing mass and the wing elevation motion is very important, which is investigated in detail. It is found that Oval-shaped wing elevating motion can help to generate large pitching down moment so that the flyer can quickly adjust its orientation for forward acceleration. Moreover, wing mass tends to magnify the effect and prohibits the growth of pitching down velocity, which is favourable aspect. The present study provides detailed information of the coupled dynamics of fluid and flyer in free flight condition, as well as offers a prospective approach that could complement existing experiments in a wider study of insect flight and maneuver.
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Zhu, Hailing, Andre Nel et Hendrik Ferreira. « Competitive Spectrum Pricing under Centralized Dynamic Spectrum Allocation ». Dans Advances in Wireless Technologies and Telecommunication, 884–908. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6571-2.ch034.

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Dynamic Spectrum Allocation (DSA) has been viewed as a promising approach to improving spectrum efficiency. With DSA, Wireless Service Providers (WSPs) that operate in fixed spectrum bands allocated through static allocation can solve their short-term spectrum shortage problems resulting from the bursty nature of wireless traffic. Such DSA mechanisms should be coupled with dynamic pricing schemes to achieve the most efficient allocation. This chapter models the DSA problem where a centralized spectrum broker manages “white space” in the spectrum of TV broadcasters and sells the vacant spectrum bands to multiple WSPs, as a multi-stage non-cooperative dynamic game. Furthermore, an economic framework for DSA is presented and a centralized spectrum allocation mechanism is proposed. The simulation results show that the centralized spectrum allocation mechanism with dynamic pricing achieves a DSA implementation that is responsive to market conditions as well as enabling efficient utilization of the available spectrum.
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Majumder, Arindam, et Rajib Ghosh. « Task Allocation and Path Planning of a Multi-Robot System Using Heuristic Coupled Particle Swarm Optimization Algorithm ». Dans Handbook of Research on Developments and Trends in Industrial and Materials Engineering, 194–209. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1831-1.ch009.

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This study deals with a plant layout where there were ninety predefined locations which have to be inspected by using three multiple robots in such a way that there would not be any collisions between the robots. A heuristic integrated multiobjective particle swarm optimization algorithm (HPSO) is developed for allocating tasks to each robot and planning of path while moving from one task location to another. For optimal path planning of each robot the research utilized A* algorithm. The task allocation for each robot is carried out using a modified multiobjective particle swarm optimization algorithm where the earliest completion time (ECT) inspired technique is used to make the algorithm applicable in multi robot task allocation problems. At the later stage of this study, in order to test the capability of HPSO an instance is solved by the algorithm and is compared with the existing solutions of a genetic algorithm with the A* algorithm. The computational results showed the superiority of the proposed algorithm over existing algorithms.
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Lawal, Abubakar, et Lukman Bola Abdul’rauf. « Mobile Phase Selection by Optimization for the Determination of Multiple Pesticides Using Liquid Chromatography-Tandem Mass Spectrometry ». Dans Biodegradation Technology of Organic and Inorganic Pollutants. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99029.

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The selection of the best mobile phase setup is one of the most important factors to be considered prior to quantitative instrumentation of multiple pesticides. Usually, mobile phases comprises of water (A) and an organic solvent (B) are the setup used in liquid chromatography instruments for the analysis of pesticide residues in various samples. Unfortunately, most of the analyses are being carried out without optimization and selection of the best mobile phase setup to improve the sensitivity of the instrument. For that reason, the comparative analysis of the reportedly used mobile phases and some few suggested ones was carried out on the multi-pesticide mixture of 0.1 mg/kg (100 μg/kg) standard solutions and quantified with liquid chromatography–tandem mass spectrometry (LC–MS/MS) instrument. Consequently, the best mobile phases setup that resulted in the sum of average total chromatographic peak areas (ATCPAs) and average total chromatographic peak heights (ATCPH) for the total ion chromatography (TIC) scans as an index that correspond to the concentration levels was selected [0.1% formic acid in H2O (A) and 0.1% formic acid in acetonitrile (ACN) (B)]. And further optimization was successfully carried out on the selected mobile phase-A and the resulted setup [1% ACN and 0.1% formic acid in Milli-Q-water (mobile phase A) coupled with 0.1% formic acid in ACN (mobile phase-B)] improved the instrumental sensitivity on the targeted analytes. Thus, this justify the potential benefits of optimizing setup of the mobile phases prior to LC–MS/MS instrumentation of multi-pesticide analytes.
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Actes de conférences sur le sujet "Multi-coupled solver"

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Kumar, Ankan, et Sandip Mazumder. « A Low-Memory Block-Implicit Solver for Coupled Solution of the Species Conservation Equations on an Unstructured Mesh ». Dans ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42517.

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Many reacting flow applications mandate coupled solution of the species conservation equations. A low-memory coupled solver was developed to solve the species transport equations on an unstructured mesh. The first step was the decomposition of the domain into sub-domains comprised of geometrically contiguous cells—a process termed internal domain decomposition (IDD). This was done using the binary spatial partitioning (BSP) algorithm. Following this step, for each subdomain, the discretized equations were set up, written in block implicit form, and solved using two different solvers: a direct solver using Gaussian elimination and an iterative solver based on Krylov sub-space iterations, i.e., the Generalized Minimum Residual (GMRES) solver. Overall (outer) iterations were then performed to treat explicitness at sub-domain boundaries and non-linearities in the governing equations. The solver is demonstrated for a simple two-dimensional multi-component diffusion problem involving 5 species. Sample calculations show that the solver with direct solution for each block is most efficient if the number of cells in each block is small—typically tens of cells, while the solver with iterative solution for each block is most efficient if the number of cells is relatively large—typically hundreds of cells. Overall the iterative solution based solver performed best, with maximum efficiency gain of a factor of seven over a block Gauss-Seidel (GS) solver and was found to be comparable or better in efficiency than a block-implicit Alternating Direction Implicit (ADI) solver. The gain in efficiency was found to increase with increase in cell aspect ratios.
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Zhang, Yufang, et Kai Lei. « 3D Multi-Solver Coupled Simulation of Combustor-Turbine Interaction in an Aero-Engine ». Dans ASME Turbo Expo 2020 : Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-14540.

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Abstract Generally, combustor and turbine components of aeroengine are designed in a relatively isolated manner and simplified boundary conditions from experiment or numerical simulation are commonly used at the interface. However, the hot gas at combustor exit is characterized by high non-uniformity of temperature, pressure, and flow distribution which may significantly affect turbine performances and reliability. Moreover, the presence of high-pressure turbine guide vanes also affects combustor flow field. The coupled simulation of combustor and turbine can describe the interaction between them more accurately. Combustor and turbine components are generally simulated with different flow solvers since they are working at different Mach number range with different flow and physical characteristics. In this work, a 3D multi-solver coupled simulation system is developed where multiple flow solvers are coupled by using two different coupling approaches. In the first approach, a 2D interface is used to connect the computational domains of combustor and turbine, the data extracted from combustor exit (including total pressure, total temperature, velocity profile and turbulent quantities) is sent to turbine guide vane inlet and the static pressure profile at combustor exit is defined by turbine. In the second approach, the computational domains have a 3D overlap region where virtual body forces are added in combustor simulation in order to enforce the 3D velocity, temperature and turbulence profiles which is provided by the turbine simulation. Moreover, data from combustor simulation is also extracted and interpolated onto the turbine inlet and vice versa in the second approach. The validation from a swirling jet case shows that the coupling system works well and the second approach provides more accurate results. Then a coupled simulation of aeroengine combustor and turbine are performed. Isolated simulation is also done for comparison. Results of these simulations are compared. It can be seen that the non-uniformity of temperature and flow distribution at combustor exit and hot streaks transport are successfully captured by the coupled simulation. The features have an important influence on the temperature distribution of turbine. Besides, the influence of turbine guide vanes on combustor flow field is mainly at the region close to combustor exit. The multi-solver coupled simulation system could be useful for designer to fully consider the interaction between combustor and turbine and gain more precise engine performance and improved turbine cooling design.
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Andreini, Antonio, Cosimo Bianchini, Gianluca Caciolli, Bruno Facchini, Andrea Giusti et Fabio Turrini. « Multi-Coupled Numerical Analysis of Advanced Lean Burn Injection Systems ». Dans ASME Turbo Expo 2014 : Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26808.

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Lean burn aero-engine combustors usually exploit advanced prefilming airblast injection systems in order to promote the formation of highly homogeneous air-fuel mixtures with the main aim of reducing NOx emissions. The combustion process is strongly influenced by the liquid fuel preparation and a reliable prediction of pollutant emissions requires proper tools able to consider the most important aspects characterizing liquid film evolution and primary breakup. This paper presents the numerical analysis of an advanced lean burn injection system using a multi-coupled two-phase flow three-dimensional solver developed on the basis of OpenFOAM modelling and numerics. The solver allows the coupled solution of gas-phase, droplets and liquid film exploiting correlation-based and theoretical models for liquid film primary atomization. A detailed analysis of the liquid film evolution is presented together with an investigation of the influence of film modelling and primary breakup on the combustion process at different operating conditions. The combustion field is strongly influenced by the characteristics of droplet population generated by the liquid film and this study proposes a computational setup, suitable for industrial calculations, able to account for all the main physical processes that characterize advanced prefilming airblast injection systems.
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Chen, Zhen, Tareq Shaalan et Ali Dogru. « A Multi-Level Non-Linear Solver for Complex Well Modelling ». Dans SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/204009-ms.

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Abstract Complex well model has proved to be important for capturing the full physics in wellbore, including pressure losses, multiphase effects, and advanced device modelling. Numerical instability may be observed especially when the well is produced at a low rate from a highly productive multi-phase zone. In this paper, a new multi-level nonlinear solver is presented in a state-of-the-art parallel complex wellbore model for addressing some difficult numerical convergence problems. A sequential two-level nonlinear solver is implemented, where the inner solver is used to address the convergence in the constraint rate equation, and then the entire complex network is solved using an outer solver. Finally, the wellbore model is coupled with the grid solution explicitly, sequentially, or implicitly. This novel formulation is robust enough to greatly improve the numerical stability due to the lagging in the computation of mixture density in wellbore constraint rate equation and the variation in the fluid composition over Newton iterations in network nonlinear solver. The numerical challenge in the complex well model and the improvement of performance with the new nonlinear solver are demonstrated using reservoir simulation. Models with complex wells running into convergence problems are constructed and simulated. With this novel nonlinear solver, simulation gives much more reliable results on well productions without numerical oscillations and computational cost is much less.
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Xie, Qiuxia, Xiaojing Liu et Xiang Chai. « Three-Dimensional Fine-Mesh Coupled Neutronics and Thermal-Hydraulics Calculation for PWR Fuel Pins ». Dans 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-93140.

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Abstract With the great improvement of computer performance, multi-physics and high-fidelity reactor numerical simulation has attracted widespread attention. The development of a three-dimensional fine-mesh coupled neutronics and thermal-hydraulics procedure mainly using the free open source C++ library OpenFOAM is presented in this research. The coupling codes are allowed to solve the coupled neutronic and thermal-hydraulic problem within the same one procedure for both steady-state and transient conditions, avoiding the data transmission between different programs. The coupling strategy among two physical fields is implemented in the same fully three-dimensional and fine mesh system, which eliminates numerical errors caused by the mapping of the grid. For the thermal-hydraulics, the built-in solid-fluid coupling conjugate heat transfer solver is applied for the calculation of the fluid mass, momentum, and energy equations, together with the solid energy equation to obtain the temperature distribution. The neutron diffusion equation is solved iteratively via the developed three-dimensional multi-group multi-region neutron diffusion solver to get the power distribution. The macroscopic cross-sections are pre-generated by the Monte Carlo code OpenMC and fitted as functions of temperature added in the neutron diffusion solver. The temperature distribution obtained by thermal-hydraulics calculation will change the macroscopic cross-sections and then impact the neutron diffusion calculation, while the power distribution gained from the neutronic calculation is transferred to the thermal-hydraulics calculation and is used as the heat source term. This coupling methodology are tested on a 3 × 3 PWR fuel pins model. The results show that all physical fields conform correct distribution regularity, illustrating the feasibility of the coupling methodology.
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Jin, Seonghoon, Sung-Min Hong, Woosung Choi, Keun-Ho Lee et Youngkwan Park. « Coupled drift-diffusion (DD) and multi-subband Boltzmann transport equation (MSBTE) solver for 3D multi-gate transistors ». Dans 2013 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, 2013. http://dx.doi.org/10.1109/sispad.2013.6650646.

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Indriolo, V., G. Melina, G. Ottino, G. Romanelli, S. Minniti et F. Rindone. « Application of an Efficient Pressure-Temperature Coupled Solver to Industrial Hydrodynamic Bearings in Conjunction With Multi-Objective Evolutionary Optimization ». Dans ASME 2011 Turbo Expo : Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46461.

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Hydrodynamic bearings have a key role in the functioning of heavy duty gas turbines: they join a great vibration absorption with an efficient power dissipation by means of a film oil inserted between the turbo machine axes and the bearing case. A classical approach for studying the functioning and the performance of this kind of bearings is to solve the so called Reynolds’ equation, which is obtained from the Navier-Stokes equations under simplifying assumptions. As a result the pressure field is derived, the fluid film being considered isothermal: dissipation effects have to be estimated a posteriori in a postprocessing procedure. On the other hand a fluid environment having to be taken into account, a direct approach is carried out by the time consuming CFD analysis. After defining an appropriate mesh and choosing the appropriate solver, an almost exact solution of the entire flow field is obtained, that is pressure, velocity and temperature distributions. The main drawback is that the required time is several order greater than that required for the solution of the Reynolds’ equation. In the present work an alternative strategy is proposed, which consists of an iterative procedure: at each step the Reynolds’ equation is solved in order to obtain the pressure field; a 1D energy balance is then applied along the length of the bearing for computing the temperature field. In this way the close relationship between pressure and temperature is modelled, the former depending on the oil viscosity locally changing with temperature, and the latter depending on the local oil mass flow and on dissipated power strictly correlated to the pressure distribution. The upgrading of both the entities ends when the convergence is reached. Comparisons with literature test cases reveal the efficiency of the proposed technique: treating the interaction between pressure and temperature gives a solution which is very close to industrial configurations investigated, and at the same time the computational load is as light as that needed for the solution of the only Reynolds’ equation. The performance of the above coupled solver can be greatly emphasised applying it to the bearing design. An integration with a multi-objective genetic optimization process is proposed, taking as objects to be optimized both geometrical and environmental variables. Application examples are shown about an industrial Ansaldo Energia lemon bore hydrodynamic bearing: given a currently applied configuration, possible improvements are suggested. Results are presented.
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Arunajatesan, S., J. Shipman et N. Sinha. « Numerical Modeling of Coupled VSTOL-Ship Airwake Flowfields ». Dans ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56147.

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Validation of CRUNCH CFD® for problems of relevance to modeling coupled VSTOL-Ship Airwake flow fields is presented. The basic numerical framework consists of an edge based multi-element unstructured Navier-Stokes solver. The governing equations are solved using an upwind biased MUSCL scheme and an implicit scheme is used for time marching. Validation of the spatial and temporal aspects of the numerical framework are presented here, with a special emphasis on bluff body shedding problems as these are of particular relevance to the VSTOL-Ship airwake problem. Results from simulations of several unit problems are presented.
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Sasao, Yasuhiro, Satoshi Miyake, Kenji Okazaki, Satoru Yamamoto et Hiroharu Ooyama. « Eulerian-Lagrangian Numerical Simulation of Wet Steam Flow Through Multi-Stage Steam Turbine ». Dans ASME Turbo Expo 2013 : Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95945.

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In this paper, we present an inclusive tracking algorithm for water droplets in a wet steam flow through a multi-stage steam turbine. This algorism is based on the Eulerian-Lagrangian coupled solver. The solver continuously computes water droplet growth, kinematic non-equilibrium between vapor and droplets, capture and kinetics of droplets on turbine blades, departure of large droplets from the trailing edge of blades, acceleration and atomization of large droplets, and recollisions between blades and droplets. Our Eulerian-Lagrangian coupled solver is used to predict wetness in unsteady three-dimensional (3D) wet steam flows through three-stage stator rotor cascade channels in a low pressure (LP) steam turbine model which is developed by Mitsubishi Heavy Industries (MHI). Droplet groups tracked by the discrete droplet model (DDM) are placed in the computational domain according to the predicted wetness. Interference from the gas phase on the droplets is considered, to track their kinetic and behavior, until they reach the outlet of the computational domain. The aim of this research is to investigate those multi-physics phenomena that trigger all forms of loss in steam turbines. In addition, this method will also be applied to multi-physics problems such as erosion in future work. This paper is presented as a first step in the research. Overviews of model of current coupling solver and several test calculations are presented.
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Wang, Kevin G., Patrick Lea, Alex Main, Owen McGarity et Charbel Farhat. « Predictive Simulation of Underwater Implosion : Coupling Multi-Material Compressible Fluids With Cracking Structures ». Dans ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23341.

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The implosive collapse of a gas-filled underwater structure can lead to strong pressure pulses and high-speed fragments that form a potential threat to adjacent structures. In this work, a high-fidelity, fluid-structure coupled computational approach is developed to simulate such an event. It allows quantitative prediction of the dynamics of acoustic and shock waves in water and the initiation and propagation of cracks in the structure. This computational approach features an extended finite element method (XFEM) for the highly-nonlinear structural dynamics characterized by large plastic deformation and fracture. It also features a finite volume method with exact two-phase Riemann solvers (FIVER) for the solution of the multi-material flow problem arising from the contact of gas and water after the structure fractures. The Eulerian computational fluid dynamics (CFD) solver and the Lagrangian computational structural dynamics (CSD) solver are coupled by means of an embedded boundary method of second-order accuracy in space. The capabilities and performance of this computational approach are explored and discussed in the full-scale simulations of a laboratory implosion experiment with hydrostatic loading and a three-dimensional manufactured implosion problem with explosion loading.
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