commit fb417074f6876195eebb6fcfd2182e2e73075f14
parent b34bfdd6c930882370b6bf1b26ed89219110efb9
Author: Vincent Forest <vincent.forest@meso-star.com>
Date: Mon, 27 Nov 2017 10:14:22 +0100
Minor adjustment of the Stardis formatting
Diffstat:
| M | stardis.html.in | | | 90 | +++++++++++++++++++++++++++++++++++++++++-------------------------------------- |
1 file changed, 47 insertions(+), 43 deletions(-)
diff --git a/stardis.html.in b/stardis.html.in
@@ -12,33 +12,34 @@ characteristic time of the system.</p>
gives some crucial informations to analyse the heat transfer in the system.
The engineer accesses at some new informations like <b> "from where the heat
comes at this location ?"</b>. Among the possibilies given by the propagator,
-it can be used as a rapid modele without simplifying the geometrical description. </p>
-
-<p>The algorithms implemented in Stardis are inherited from the state of the art
-of the Monte-Carlo method applied to radiative transfers physics (Delatorre et al.,
-"Monte Carlo advances and concentrated solar applications", Solar Energy, 2014)
-combined to the statistical point of view of the conductive heat transfer
-(Kac, "On Distributions of Certain Wiener Functionals". Trans. of the American
-Math. Soc., 1949 and Muller,"Some continuous Monte-Carlo Methods for the Dirichlet
-Problem", Annals of Math. Stat., 1956). And this theoritical framework can be used
-in pratice to deal with the complex geometries thanks to the state of the art of
-computer graphics which it's at the origin of a disruptive technology in the cinema
-industry (FX and animated movies).</p>
-
-<p> This theoritical framework leads to a <b>statistical point of view</b> of the whole
-heat transfer processess (conductive-convective-radiative) when the linear
-assumption is relevant. And this modele can be solved by a <b>Monte-Carlo approach</b>
-which samples some <b>thermal paths</b>. This type of algorithms can be considered
-as an extension of Monte-Carlo algorithms to solve radiative transfer by sampling
-optical paths. An interesting property of this approach is that the resulting
-algorithms does not rely on a volume mesh of the system.
-</p>
+it can be used as a rapid modele without simplifying the geometrical
+description. </p>
+
+<p>The algorithms implemented in Stardis are inherited from the state of the
+art of the Monte-Carlo method applied to radiative transfers physics (Delatorre
+et al., "Monte Carlo advances and concentrated solar applications", Solar
+Energy, 2014) combined to the statistical point of view of the conductive heat
+transfer (Kac, "On Distributions of Certain Wiener Functionals". Trans. of the
+American Math. Soc., 1949 and Muller,"Some continuous Monte-Carlo Methods for
+the Dirichlet Problem", Annals of Math. Stat., 1956). And this theoritical
+framework can be used in pratice to deal with the complex geometries thanks to
+the state of the art of computer graphics which it's at the origin of a
+disruptive technology in the cinema industry (FX and animated movies).</p>
+
+<p> This theoritical framework leads to a <b>statistical point of view</b> of
+the whole heat transfer processess (conductive-convective-radiative) when the
+linear assumption is relevant. And this modele can be solved by a
+<b>Monte-Carlo approach</b> which samples some <b>thermal paths</b>. This type
+of algorithms can be considered as an extension of Monte-Carlo algorithms to
+solve radiative transfer by sampling optical paths. An interesting property of
+this approach is that the resulting algorithms does not rely on a volume mesh
+of the system. </p>
<h2>Get Stardis</h2>
-<p>Stardis is not a monolothic software, it's <b>a solver which can be integrated</b>
-in various thermal engineering simulation toolchain for designing and
-optimizing.</p>
+<p>Stardis is not a monolothic software, it's <b>a solver which can be
+integrated</b> in various thermal engineering simulation toolchain for
+designing and optimizing.</p>
<p>To get Stardis, contact us, we have a versatile offer :
<ul>
@@ -66,18 +67,19 @@ accompanying with theoretical and practice trainings.</p>
</div>
</div>
-<p> For its needs of numerical simulations of thermal transfers, EDF R&D develops
-and maintains since several years the SYRTHES software. It solves the conductive
-and radiative transfers in complex geometries and it was designed to be
-integrated in the EDF software toolchain (SALOME). The conductive heat transfer
-is solved by finite elements method and the radiative solver is based on
-radiosity method.</p>
+<p> For its needs of numerical simulations of thermal transfers, EDF R&D
+develops and maintains since several years the SYRTHES software. It solves the
+conductive and radiative transfers in complex geometries and it was designed to
+be integrated in the EDF software toolchain (SALOME). The conductive heat
+transfer is solved by finite elements method and the radiative solver is based
+on radiosity method.</p>
-<p> Meso-Star and the SYRTHES developers collaborate since 2015 to integrate new
-features in SYRTHES based the statistical point of view of the thermal transfers.
-Meso-Star accompanies SYRTHES developers to integrate Stardis. The objective is not
-replacing the existing solvers but rather than adding <b>some complementary features
-to facilitate the analysis of numerical simulations</b>.</p>
+<p> Meso-Star and the SYRTHES developers collaborate since 2015 to integrate
+new features in SYRTHES based the statistical point of view of the thermal
+transfers. Meso-Star accompanies SYRTHES developers to integrate Stardis. The
+objective is not replacing the existing solvers but rather than adding <b>some
+complementary features to facilitate the analysis of numerical
+simulations</b>.</p>
<h3> PROMES-CNRS - Star-Therm </h3>
@@ -87,19 +89,21 @@ to facilitate the analysis of numerical simulations</b>.</p>
<img src="star-therm.png" style="float: relative" alt="Star-Therm">
</a>
<div id="caption">
- Star-Therm : A code to solve conducto-radiative thermal problems in complex foams.
+ Star-Therm : A code to solve conducto-radiative thermal problems in
+ complex foams.
</div>
</div>
<p>Meso-Star has developped for the PROMES-CNRS laboratory the Star-Therm code
-based on Stardis solver which solves coupled conducto-radiative thermal problems.
-It was designed to deal with complex geometries such as <b>metallic or SiC foams</b>.
-This type of foams are used as heat exchanger in solar <b>concentrated solar
-process</b> to transfer energy from incoming sunlight radiation to a working fluid.</p>
-
-<p>The physical model consists in taking into account coupled thermal radiation in
-vacuum and conduction in opaque solids. Incoming solar energy (radiation) is
+based on Stardis solver which solves coupled conducto-radiative thermal
+problems. It was designed to deal with complex geometries such as <b>metallic
+or SiC foams</b>. This type of foams are used as heat exchanger in solar
+<b>concentrated solar process</b> to transfer energy from incoming sunlight
+radiation to a working fluid.</p>
+
+<p>The physical model consists in taking into account coupled thermal radiation
+in vacuum and conduction in opaque solids. Incoming solar energy (radiation) is
deposited at the surface of a metallic foam, which results in a given boundary
temperature. Therefore, boundary conditions and initial conditions are known.
Star-Therm will subsequently have to compute the temperature at any position
