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authorAdrian Kummerlaender2019-02-10 19:36:16 +0100
committerAdrian Kummerlaender2019-02-10 19:36:16 +0100
commita11a7f6715358e234e1beaf1725da88e49ff6892 (patch)
treeb1a6f45b510faddb2cf65d1d0d1abc5c482951c5
parent6f9e3b00b1c139621693407e0f0e2856d4e9d7f3 (diff)
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Expand cylinder2d evaluation
-rw-r--r--content.tex11
-rw-r--r--img/cylinder2d_high_res_comparsion.tikz94
-rw-r--r--img/data/cylinder2d_single_refinement_n40_re100_drag_lift_deltap.csv1602
-rw-r--r--img/data/cylinder2d_two_level_refinement_n40_re100_drag_lift_deltap.csv1602
4 files changed, 3308 insertions, 1 deletions
diff --git a/content.tex b/content.tex
index dff85a5..0111c9d 100644
--- a/content.tex
+++ b/content.tex
@@ -1133,7 +1133,8 @@ Klar zu erkennen ist, dass die Simulation auf dem verfeinerten Gitter über alle
\bigskip
-Als weiteren Vergleich betrachten wir die entscheidenden maximalen Widerstands- und Auftriebskoeffizienten \(\widehat{c_w}\) bzw. \(\widehat{c_a}\) eines uniform mit \(N=40\), d.h. der maximalen lokalen Auflösung unseres problembewusst verfeinerten Gitters entsprechend, aufgelösten Gitters.
+Das diesen Resultaten zugrundeliegende Gitter orientiert sich in der Anzahl seiner Zellen an einem uniform aufgelösten Gitter, welches knapp an der Grenze zur Divergenz im Ausflussgebiet arbeitet. Die im Vergleich dazu sehr guten Ergebnisse des optimierten Gitters sind also nicht zu überraschend.
+Als weiteren Vergleich betrachten wir deshalb die entscheidenden maximalen Widerstands- und Auftriebskoeffizienten \(\widehat{c_w}\) bzw. \(\widehat{c_a}\) eines uniform mit \(N=40\), d.h. der maximalen lokalen Auflösung unseres problembewusst verfeinerten Gitters entsprechend, aufgelösten Gitters.
Auch im Vergleich mit diesem 145314 Knoten umfassenden Gitter bewähren sich die, mit nur etwa einem Zehntel der Knoten gewonnenen, Ergebnisse der verfeinerten Simulation:
\begin{figure}[h]
@@ -1160,10 +1161,18 @@ Knotenanzahl & 145314 & 13454 & \\
\noindent
Tatsächlich ist der Fehler des verfeinerten Gitters für Widerstandskoeffizient und Druckdifferenz sogar kleiner als der des uniformen Gitters mit ungleich mehr Knoten.
+\bigskip
+
+Wir haben an dieser Stelle also auch im formalen Vergleich bestätigt, dass sich Gitterverfeinerung zur besseren Verteilung beschränkter Rechenressourcen einsetzen lässt.
+Die bestimmten Vergleichswerte bestehen bei geeigneter Variation der lokalen Gitterweiten auch in Konkurrenz mit uniformen Gittern, die auf der ganzen Simulationsdomäne der feinsten Gitterweite des heterogenen Gitters entsprechend aufgelöst sind. Es stellt sich daher die Frage, ob dieser klare Vorteil auch auf höher aufgelöste Gitter übertragen werden kann und sich die Ergebnisse in vergleichbarem Maße verbessern.
+
+Dazu sehen wir in Abbildung~\ref{fig:142000nodes} die charakteristischen Messwerte des uniformen \(N=40\) Gitters sowie eines problembezogen varierten Gitters mit gleicher Knotenanzahl.
+
\begin{figure}[H]
\centering
\input{img/cylinder2d_high_res_comparsion.tikz}
\caption{Aerodynamische Koeffizienten in Gittern mit \(\sim 142000\) Knoten}
+\label{fig:142000nodes}
\end{figure}
\newpage
diff --git a/img/cylinder2d_high_res_comparsion.tikz b/img/cylinder2d_high_res_comparsion.tikz
new file mode 100644
index 0000000..a1f8b59
--- /dev/null
+++ b/img/cylinder2d_high_res_comparsion.tikz
@@ -0,0 +1,94 @@
+\begin{tikzpicture}
+\pgfplotstableread[col sep=comma]{img/data/cylinder2d_optimized_refinement_n17_re100_drag_lift_deltap.csv}\refined
+\pgfplotstableread[col sep=comma]{img/data/cylinder2d_unrefined_n40_re100_drag_lift_deltap.csv}\uniform
+
+\begin{axis}[
+ scale only axis,
+ height=5cm,
+ width=0.9*\textwidth,
+ legend cell align=left,
+ legend pos=south east,
+ grid=both,
+ domain=0:16,
+ xmin=0, xmax=16,
+ ylabel={Widerstandskoeffizient},
+ ylabel absolute, every axis y label/.append style={yshift=0.4cm}
+]
+\addplot[thick,color=black]{3.23};
+\addlegendentry {\(\widehat{c_w} := 3.23\)};
+\addplot[
+ color=blue!50!white,
+ very thin
+] table [
+ x expr=\thisrow{time}, y=drag
+] {\uniform};
+\addplot[
+ color=green!70!black,
+] table [
+ x expr=8*\thisrow{time}, y=drag
+] {\refined};
+\end{axis}
+
+\begin{axis}[
+ scale only axis,
+ yshift=-6cm,
+ height=5cm,
+ width=0.9*\textwidth,
+ legend cell align=left,
+ legend pos=south west,
+ grid=both,
+ domain=0:16,
+ xmin=0, xmax=16,
+ ylabel={Auftriebskoeffizient},
+ ylabel absolute, every axis y label/.append style={yshift=0.4cm}
+]
+\addplot[thick,color=black]{1.0};
+\addlegendentry {\(\widehat{c_a} := 1\)};
+\addplot[
+ color=blue!50!white,
+ very thin
+] table [
+ x expr=\thisrow{time}, y=lift
+] {\uniform};
+\addplot[
+ color=green!70!black,
+] table [
+ x expr=8*\thisrow{time}, y=lift
+] {\refined};
+\end{axis}
+
+\begin{axis}[
+ scale only axis,
+ yshift=-12cm,
+ height=5cm,
+ width=0.9*\textwidth,
+ legend cell align=left,
+ legend pos=south east,
+ grid=both,
+ domain=0:16,
+ xmin=0, xmax=16,
+ xlabel={Simulierte physikalische Zeit},
+ ylabel={Druckdifferenz},
+ x unit=s,
+ y unit=N/m^2,
+ ylabel absolute, every axis y label/.append style={yshift=0.4cm}
+]
+\addplot[
+ color=blue!50!white,
+ very thin
+] table [
+ x expr=\thisrow{time}, y=deltap
+] {\uniform};
+\addlegendentry {Uniformes \(N=40\) Gitter};
+\addplot[
+ color=green!70!black,
+] table [
+ x expr=8*\thisrow{time}, y=deltap
+] {\refined};
+\addlegendentry {Problembezogen verfeinertes \(N=17\) Gitter};
+\addplot[thick,color=black]{2.48};
+\addlegendentry {\(\Delta P := 2.48\)};
+\end{axis}
+
+\end{tikzpicture}
+
diff --git a/img/data/cylinder2d_single_refinement_n40_re100_drag_lift_deltap.csv b/img/data/cylinder2d_single_refinement_n40_re100_drag_lift_deltap.csv
new file mode 100644
index 0000000..1805275
--- /dev/null
+++ b/img/data/cylinder2d_single_refinement_n40_re100_drag_lift_deltap.csv
@@ -0,0 +1,1602 @@
+time,drag,lift,deltap
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diff --git a/img/data/cylinder2d_two_level_refinement_n40_re100_drag_lift_deltap.csv b/img/data/cylinder2d_two_level_refinement_n40_re100_drag_lift_deltap.csv
new file mode 100644
index 0000000..e2133a4
--- /dev/null
+++ b/img/data/cylinder2d_two_level_refinement_n40_re100_drag_lift_deltap.csv
@@ -0,0 +1,1602 @@
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