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Windscreen: Difference between revisions

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<math>M</math> is a symmetric positive-definite matrix and <math>K_d = (1+i\gamma) K</math> where <math>K</math> is symmetric positive semi-definite.  
<math>M</math> is a symmetric positive-definite matrix and <math>K_d = (1+i\gamma) K</math> where <math>K</math> is symmetric positive semi-definite.  


The test problem is a structural model of a car windscreen.
The test problem is a structural model of a car windscreen. <ref name="meerbergen2007"/>
This is a 3D problem discretized with <math>7564</math> nodes and <math>5400</math> linear hexahedral elements (3 layers of <math>60 \times 30</math> elements).
This is a 3D problem discretized with <math>7564</math> nodes and <math>5400</math> linear hexahedral elements (3 layers of <math>60 \times 30</math> elements).
The mesh is shown in <xr id="fig1"/>.
The mesh is shown in <xr id="fig1"/>.
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The structural boundaries are free (free-free boundary conditions).
The structural boundaries are free (free-free boundary conditions).
The windscreen is subjected to a point force applied on a corner.
The windscreen is subjected to a point force applied on a corner.
The goal of the model reduction is the fast evaluation of <math>y</math>. <ref name="meerbergen2007"/>
The goal of the model reduction is the fast evaluation of <math>y</math>.  
Model reduction is used as a fast linear solver for a sequence of parametrized linear systems.
Model reduction is used as a fast linear solver for a sequence of parametrized linear systems.



Revision as of 11:28, 1 April 2018

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Description

Figure 1
Figure 2

This is an example for a model in the frequency domain of the form

Kdxω2Mx=fy=f*x

where f represents a unit point load in one unknown of the state vector. M is a symmetric positive-definite matrix and Kd=(1+iγ)K where K is symmetric positive semi-definite.

The test problem is a structural model of a car windscreen. [1] This is a 3D problem discretized with 7564 nodes and 5400 linear hexahedral elements (3 layers of 60×30 elements). The mesh is shown in xx--CrossReference--dft--fig1--xx. The material is glass with the following properties: The Young modulus is 7×1010N/m2, the density is 2490kg/m3, and the Poisson ratio is 0.23. The natural damping is 10%, i.e. γ=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. 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(ω) for ω[0.5,200]. In order to generate the plots the frequency range was discretized as {ω1,,ωm}={0.5j,j=1,,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 |(y(ω))|.

Origin

This benchmark is part of the Oberwolfach Benchmark Collection[2]; No. 38886.

Data

Download matrices in the Matrix Market format:

The archive contains files windscreen.K, windscreen.M and windscreen.B representing Kd, M and f accordingly.

Dimensions

System structure:

(K+ω2M)x=By=BTx

with ω[0.5,200].

System dimensions:

K22692×22692, M22692×22692, B22692×1.

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

  1. K. Meerbergen, Fast frequency response computation for Rayleigh damping, International Journal for Numerical Methods in Engineering, 73(1): 96--106, 2007.
  2. 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.