Research Article
A mathematical framework of the bridging scale method
Article first published online: 6 OCT 2005
DOI: 10.1002/nme.1514
Copyright © 2005 John Wiley & Sons, Ltd.
Issue
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International Journal for Numerical Methods in Engineering
Volume 65, Issue 10, pages 1688–1713, 5 March 2006
Additional Information
How to Cite
Tang, S., Hou, T. Y. and Liu, W. K. (2006), A mathematical framework of the bridging scale method. International Journal for Numerical Methods in Engineering, 65: 1688–1713. doi: 10.1002/nme.1514
Publication History
- Issue published online: 25 JAN 2006
- Article first published online: 6 OCT 2005
- Manuscript Accepted: 17 AUG 2005
- Manuscript Revised: 11 AUG 2005
- Manuscript Received: 18 FEB 2005
Funded by
- NSF. Grant Numbers: FRG DMS-0353838, ITR ACI-0204932, IGERT
- Chinese Special Funds for Major State Basic Research Project. Grant Number: G2000077305
- NSFC. Grant Numbers: 90407021, 10271003
- Abstract
- References
- Cited By
Keywords:
- multiscale computation;
- bridging scale method;
- coarse–fine decomposition;
- molecular dynamics coupled with finite elements
Abstract
In this paper, we present a mathematical framework of the bridging scale method (BSM), recently proposed by Liu et al. Under certain conditions, it had been designed for accurately and efficiently simulating complex dynamics with different spatial scales. From a clear and consistent derivation, we identify two error sources in this method. First, we use a linear finite element interpolation, and derive the coarse grid equations directly from Newton's second law. Numerical error in this length scale exists mainly due to inadequate approximation for the effects of the fine scale fluctuations. An modified linear element (MLE) scheme is developed to improve the accuracy. Secondly, we derive an exact multiscale interfacial condition to treat the interfaces between the molecular dynamics region ΩD and the complementary domain ΩC, using a time history kernel technique. The interfacial condition proposed in the original BSM may be regarded as a leading order approximation to the exact one (with respect to the coarsening ratio). This approximation is responsible for minor reflections across the interfaces, with a dependency on the choice of ΩD. We further illustrate the framework and analysis with linear and non-linear lattices in one-dimensional space. Copyright © 2005 John Wiley & Sons, Ltd.

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