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Description
This is an example for a model in the frequency domain of the form
\[ \begin{align} K_d x - \omega^2 M x & = f \\ y & = f^* x \end{align} \]
where \(f\) represents a unit point load in one unknown of the state vector. \(M\) is a symmetric positive-definite matrix and \(K_d = (1+i\gamma) K\) where \(K\) is symmetric positive semi-definite.
The test problem is a structural model of a car windscreen. This is a 3D problem discretized with \(7564\) nodes and \(5400\) linear hexahedral elements (3 layers of \(60 \times 30\) elements). The mesh is shown in xx--CrossReference--dft--fig1--xx. The material is glass with the following properties: The Young modulus is \(7\times10^{10}\mathrm{N}/\mathrm{m}^2\), the density is \(2490 \mathrm{kg}/\mathrm{m}^3\), and the Poisson ratio is \(0.23\). The natural damping is \(10\%\), i.e. \(\gamma=0.1\). The structural boundaries are free (free-free boundary conditions). The windscreen is subjected to a point force applied on a corner. The goal of the model reduction is the fast evaluation of \(y\). [1] Model reduction is used as a fast linear solver for a sequence of parametrized linear systems.
The discretized problem has dimension \(n=22692\). The goal is to estimate \(x(\omega)\) for \(\omega\in[0.5,200]\). In order to generate the plots the frequency range was discretized as \(\{\omega_1,\ldots,\omega_m\} = \{0.5j,j=1,\ldots,m\}\) with \(m=400\).
xx--CrossReference--dft--fig1--xx shows the mesh of the car windscreen and xx--CrossReference--dft--fig2--xx the frequency response \(\vert \Re(y(\omega)) \vert\).
Origin
This benchmark is part of the Oberwolfach Benchmark Collection[2]; No. 38886.
Data
Download matrices in the Matrix Market format:
- windscreen.tar.gz (21.5 MB)
The archive contains files windscreen.K, windscreen.M and windscreen.B representing \(K_d\), \(-M\) and \(f\) accordingly.
Dimensions
System structure: \[ \begin{align} (K + \omega^2 M) x & = B \\ y & = B^{\mathrm{T}} x \end{align} \] with \(\omega \in [0.5, 200]\).
System dimensions\[K \in \mathbb{C}^{22692 \times 22692}\], \(M \in \mathbb{R}^{22692 \times 22692}\), \(B \in \mathbb{R}^{22692 \times 1}\).
Citation
To cite this benchmark, use the following references:
- For the benchmark itself and its data:
- Oberwolfach Benchmark Collection Windscreen. hosted at MORwiki - Model Order Reduction Wiki, 2004. http://modelreduction.org/index.php/Windscreen
@MISC{morwiki_windscreen,
author = {Oberwolfach Benchmark Collection},
title = {Windscreen},
howpublished = {hosted at {MORwiki} -- Model Order Reduction Wiki},
url = {http://modelreduction.org/index.php/Windscreen},
year = 2004
}
References
- ↑ K. Meerbergen, [1], International Journal for Numerical Methods in Engineering, 73(1): 96--106, 2007.
- ↑ J.G. Korvink, E.B. Rudnyi, Oberwolfach Benchmark Collection, In: Dimension Reduction of Large-Scale Systems, Lecture Notes in Computational Science and Engineering, vol 45: 311--315, 2005.