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Error estimation approach for controlling the macro step-size for explicit co-simulation methods

Meyer, Tobias and Kraft, Jan and Li, Pu and Lu, Daixing and Schweizer, Bernhard (2017):
Error estimation approach for controlling the macro step-size for explicit co-simulation methods.
In: 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry : proceedings ; a conference under the auspice of the German Association for Computational Mechanics (GACM) ; 11 - 13 October 2017, Stuttgart, Germany, pp. 348-351, [Online-Edition: http://dx.doi.org/10.18419/opus-9334],
[Article]

Abstract

An approach for controlling the macro-step size in connection with explicit co-simulation methods is suggested. The method is tailored for applied-force coupling techniques. Each macro-time step is carried out with two different explicit co-simulation methods. By comparing the variables of both results, an error estimator for the local error can be constructed. A step-size controller for the macro-step size can be implemented. Examples are presented demonstrating the applicability and accuracy.

Item Type: Article
Erschienen: 2017
Creators: Meyer, Tobias and Kraft, Jan and Li, Pu and Lu, Daixing and Schweizer, Bernhard
Title: Error estimation approach for controlling the macro step-size for explicit co-simulation methods
Language: English
Abstract:

An approach for controlling the macro-step size in connection with explicit co-simulation methods is suggested. The method is tailored for applied-force coupling techniques. Each macro-time step is carried out with two different explicit co-simulation methods. By comparing the variables of both results, an error estimator for the local error can be constructed. A step-size controller for the macro-step size can be implemented. Examples are presented demonstrating the applicability and accuracy.

Journal or Publication Title: 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry : proceedings ; a conference under the auspice of the German Association for Computational Mechanics (GACM) ; 11 - 13 October 2017, Stuttgart, Germany
Divisions: 16 Department of Mechanical Engineering > Institute of Applied Dynamics (AD)
16 Department of Mechanical Engineering
Date Deposited: 13 Nov 2017 09:55
Official URL: http://dx.doi.org/10.18419/opus-9334
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