Davide Galassi
Aix-Marseille University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Davide Galassi.
Journal of Computational Physics | 2016
P. Tamain; Hugo Bufferand; G. Ciraolo; Clothilde Colin; Davide Galassi; Philippe Ghendrih; Frédéric Schwander; Eric Serre
The new code TOKAM3X simulates plasma turbulence in full torus geometry including the open field lines of the Scrape-off Layer (SOL) and the edge closed field lines region in the vicinity of the separatrix. Based on drift-reduced Braginskii equations, TOKAM3X is able to simulate both limited and diverted plasmas. Turbulence is flux driven by incoming particles from the core plasma and no scale separation between the equilibrium and the fluctuations is assumed so that interactions between large scale flows and turbulence are consistently treated. Based on a domain decomposition, specific numerical schemes are proposed using conservative finite-differences associated to a semi-implicit time advancement. The process computation is multi-threaded and based on MPI and OpenMP libraries. In this paper, fluid model equations are presented together with the proposed numerical methods. The code is verified using the manufactured solution technique and validated through documented simple experiments. Finally, first simulations of edge plasma turbulence in X-point geometry are also introduced in a JET geometry. Modelling of the turbulent cross-field transport in tokamak edge plasma.Development of a fluid code TOKAM3X to simulate turbulence.Code verification and validation.First X-point simulations in a JET-like geometry.
Nuclear Fusion | 2015
C. Reux; L. Di Gallo; F. Imbeaux; P. Bernardi; J. Bucalossi; Guido Ciraolo; Jean-Luc Duchateau; C. Fausser; Davide Galassi; P. Hertout; Jean-Charles Jaboulay; A. Li-Puma; B. Saoutic; Louis Zani; Itm-Tf Contributors
A demonstration power plant (DEMO) will be the next step for fusion energy following ITER. Some of the key design questions can be addressed by simulations using system codes. System codes aim to model the whole plant with all its subsystems and identify the impact of their interactions on the design choices. The SYCOMORE code is a modular system code developed to address key questions relevant to tokamak fusion reactor design. SYCOMORE is being developed within the European Integrated Tokamak Modelling framework and provides a global view (technology and physics) of the plant. It includes modules to address plasma physics, divertor physics, breeding blankets, shield design, magnet design and the power balance of plant. The code is coupled to an optimization framework which allows one to specify figures of merit and constraints to obtain optimized designs. Examples of pulsed and steady-state DEMO designs obtained using SYCOMORE are presented. Sensitivity to design assumptions is also studied, showing that the operational domain around working points can be narrow for some cases.
Computer Physics Communications | 2016
Luc Di Gallo; C. Reux; F. Imbeaux; Jean-François Artaud; Michal Owsiak; Bernard Saoutic; G. Aiello; P. Bernardi; Guido Ciraolo; J. Bucalossi; Jean-Luc Duchateau; Clement Fausser; Davide Galassi; P. Hertout; Jean-Charles Jaboulay; Antonella Li-Puma; Louis Zani
A generic coupling method between a multi-physics workflow engine and an optimization framework is presented in this paper. The coupling architecture has been developed in order to preserve the integrity of the two frameworks. The objective is to provide the possibility to replace a framework, a workflow or an optimizer by another one without changing the whole coupling procedure or modifying the main content in each framework. The coupling is achieved by using a socket-based communication library for exchanging data between the two frameworks. Among a number of algorithms provided by optimization frameworks, Genetic Algorithms (GAs) have demonstrated their efficiency on single and multiple criteria optimization. Additionally to their robustness, GAs can handle non-valid data which may appear during the optimization. Consequently GAs work on most general cases. A parallelized framework has been developed to reduce the time spent for optimizations and evaluation of large samples. A test has shown a good scaling efficiency of this parallelized framework. This coupling method has been applied to the case of SYCOMORE (System COde for MOdeling tokamak REactor) which is a system code developed in form of a modular workflow for designing magnetic fusion reactors. The coupling of SYCOMORE with the optimization platform URANIE enables design optimization along various figures of merit and constraints
Plasma Physics and Controlled Fusion | 2018
Alberto Gallo; Nicolas Fedorczak; S. Elmore; R. Maurizio; H. Reimerdes; C. Theiler; C. Tsui; J. A. Boedo; M. Faitsch; Hugo Bufferand; G. Ciraolo; Davide Galassi; Ph. Ghendrih; M. Valentinuzzi; P. Tamain
A deep understanding of plasma transport at the edge of magnetically confined fusion plasmas is needed for the handling and control of heat loads on the machine first wall. Experimental observations collected on a number of tokamaks over the last three decades taught us that heat flux profiles at the divertor targets of X-point configurations can be parametrized by using two scale lengths for the scrape-off layer (SOL) transport, separately characterizing the main SOL (
Conference on Chaos, Complexity and Transport 2015 | 2017
S. Baschetti; Davide Galassi; Eric Serre; J. Bucalossi; Hugo Bufferand; G. Ciraolo; Ph. Ghendrih; P. Tamain
{\lambda }_{q}
Contributions To Plasma Physics | 2016
Hugo Bufferand; Guido Ciraolo; Philippe Ghendrih; Y. Marandet; J. Bucalossi; Clothilde Colin; Nicolas Fedorczak; Davide Galassi; J. Gunn; R Leybros; Eric Serre; P. Tamain
) and the divertor SOL (S q ). In this work we challenge the current interpretation of these two scale lengths as well as their dependence on plasma parameters by studying the effect of divertor geometry modifications on heat exhaust in the Tokamak a Configuration Variable. In particular, a significant broadening of the heat flux profiles at the outer divertor target is diagnosed while increasing the length of the outer divertor leg in lower single null, Ohmic, L-mode discharges. Efforts to reproduce this experimental finding with both diffusive (SolEdge2D-EIRENE) and turbulent (TOKAM3X) modelling tools confirm the validity of a diffusive approach for simulating heat flux profiles in more traditional, short leg, configurations while highlighting the need of a turbulent description for modified, long leg, ones in which strongly asymmetric divertor perpendicular transport develops.
Nuclear materials and energy | 2017
P. Tamain; Clothilde Colin; L. Colas; C. Baudoin; G. Ciraolo; R. Futtersack; Davide Galassi; Ph. Ghendrih; N. Nace; Frédéric Schwander; Eric Serre
Operation of high performance fusion plasmas relies on self-organised properties to reach appropriate working points that are compatible with both high confinement performance to achieve a burning plasma, and controlled ageing of the confinement device. The latter conditions requires a trade-off between simplicity of the operation point and reaching conditions that can be sustained in steady state. The issue of heat flux control at the plasma edge and onto the plasma facing components is an example of this synergy. We address in this framework the problem of radiative divertor operation. The simplified 1D problem is recast in Hamiltonian formalism, the effective energy being invariant. This property is most efficient to address bifurcations and critical points leading to no-solution regions of the parameter space. Analytical investigation of these solutions indicates that taking into account the radiative front location and constraints on the upstream temperature reduces the operation space. Furthermore, one finds that radiative divertor operation tends to lead to operation at reduced plasma pressure, unless stable conditions and hot upstream plasma temperature can be sustained at vanishing divertor temperature.
Nuclear materials and energy | 2017
Hugo Bufferand; C. Baudoin; J. Bucalossi; G. Ciraolo; J. Denis; Nicolas Fedorczak; Davide Galassi; Philippe Ghendrih; R. Leybros; Y. Marandet; N. Mellet; J Morales; N. Nace; Eric Serre; P. Tamain; M. Valentinuzzi
Nuclear materials and energy | 2017
G. Ciraolo; Hugo Bufferand; J. Bucalossi; Ph. Ghendrih; P. Tamain; Y. Marandet; M. Valentinuzzi; J. Denis; Nicolas Fedorczak; E. Hodille; N. Mellet; B. Pégourié; C. Grisolia; C. Bourdelle; E. Tsitrone; Davide Galassi; R. Leybros; Giorgio Giorgiani; Eric Serre
Nuclear materials and energy | 2017
Y. Marandet; Hugo Bufferand; N. Nace; M. Valentinuzzi; G. Ciraolo; P. Tamain; J. Bucalossi; Davide Galassi; Ph. Ghendrih; N. Mellet; Eric Serre