stardis-solver

Solve coupled heat transfers
git clone git://git.meso-star.fr/stardis-solver.git
Log | Files | Refs | README | LICENSE

commit 3208a9abade38141c456316f2e4d638574e71fd1
parent dd2e030c17b514f61e83ce83dd4dc5c4299a9497
Author: Vincent Forest <vincent.forest@meso-star.com>
Date:   Fri,  4 Mar 2022 10:00:55 +0100

Update the overview part of the README

Notify the support of non linear radiative transfer.

Diffstat:
MREADME.md | 27++++++++++++++-------------
1 file changed, 14 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md @@ -20,16 +20,16 @@ The hypothesis these algorithms are based upon are the following: - *convection*: fluid media are supposed to be isothermal, even if their temperature may vary with time. This hypothesis relies on the assumption of perfectly agitated fluids. -- *radiation*: local radiative transfer is solved by an iterative numerical - method (Picard algorithm) that requires the knowledge of a reference - temperature field. At the basic level (one level of recursion), and using a - uniform reference temperature field, this algorithm translates into the - hypothesis of a linearized radiative transfer. Using a higher order or - recursion makes possible to converge the result closer to the solution of a - rigorous spectrally-integrated radiative transfer (a difference of - temperatures to the power 4 when integrated over the whole spectrum). The - higher the recursion order, to better will be the convergence of the - algorithm. +- *radiation*: local radiative transfer is solved by an [iterative numerical + method](https://hal.archives-ouvertes.fr/tel-03266863/) (Picard algorithm) + that requires the knowledge of a reference temperature field. At the basic + level (one level of recursion), and using a uniform reference temperature + field, this algorithm translates into the hypothesis of a linearized + radiative transfer. Using a higher order or recursion makes possible to + converge the result closer to the solution of a rigorous + spectrally-integrated radiative transfer (a difference of temperatures to the + power 4 when integrated over the whole spectrum). The higher the recursion + order, to better will be the convergence of the algorithm. In Stardis-Solver the system to simulate is represented by a *scene* whose geometry defines the contour of the object only: in contrast to legacy thermal @@ -61,7 +61,7 @@ The main features of the solver are currently: been reached; when internal power sources or imposed fluxes are taken into account, additional contributions to the weight must be continuously evaluated by the thermal conduction algorithm, but these contributions are - proportional to the local dissipated power/imposed flux. In any case, the + proportional to the local dissipated power/imposed flux. In any case, the position and date at the end of each thermal path (and also accumulation coefficients) can be stored during a first complete Monte-Carlo simulation. This information, known as the Green function, can then be used in (very @@ -70,7 +70,8 @@ The main features of the solver are currently: flux). Note that when using the Green function, only boundary and initial conditions (as well as internal power sources) can be modified: in particular, the geometry, thermal properties and exchange coefficients have - to remain identical. + to remain identical. Furthermore, the green function is only valid under the + assumption of linearized radiative transfer. - *path visualization*: Stardis-Solver can store the complete spatial and temporal position along a set of thermal paths, for latter visualization. In addition of their position and, each thermal path vertex register additional @@ -82,7 +83,7 @@ Stardis-Solver is currently used in two frameworks. The tools is the reference workflow of Stardis-Solver. It proposes a complete toolchain from fileformats describing the scene (geometry, thermal properties, limit and boundary conditions) to computations and post-treatments of the -results ([Stardis-Green](https://gitlab.com/meso-star/stardis-green.git). +results ([Stardis-Green](https://gitlab.com/meso-star/stardis-green.git)). Stardis-Solver is also integrated into [SYRTHES](https://www.edf.fr/en/the-edf-group/world-s-largest-power-company/activities/research-and-development/scientific-communities/simulation-softwares?logiciel=10818), the general thermal free software developed by Electricité De France (EDF).