Multiscale Modeling and Simulation in Science
Most problems in science involve many scales in time and space. An example is turbulent flow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common difficulty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignores the fine scale information then the solution will not be physically meaning ful. The influence of the fine scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Skholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.
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Multiscale Modeling and Simulation in Science
Most problems in science involve many scales in time and space. An example is turbulent flow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common difficulty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignores the fine scale information then the solution will not be physically meaning ful. The influence of the fine scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Skholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.
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Multiscale Modeling and Simulation in Science
320
Multiscale Modeling and Simulation in Science
320Paperback(2009)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783540888567 |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Publication date: | 11/26/2008 |
| Series: | Lecture Notes in Computational Science and Engineering , #66 |
| Edition description: | 2009 |
| Pages: | 320 |
| Product dimensions: | 6.10(w) x 9.20(h) x 0.60(d) |
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