Model Order Reduction for Temperature-Dependent Nonlinear Mechanical Systems: A Multiple Scales Approach
Computational Engineering, Finance, and Science
2019-10-25 v2 Numerical Analysis
Abstract
The thermal dynamics in thermo-mechanical systems exhibits a much slower time scale compared to the structural dynamics. In this work, we use the method of multiple scales to reduce the thermo-mechanical structural models with a slowly-varying temperature distribution in a systematic manner. In the process, we construct a reduction basis that adapts according to the instantaneous temperature distribution of the structure, facilitating an efficient reduction in the number of unknown. As a proof of concept, we demonstrate the method on a range of linear and nonlinear beam examples and obtain a consistently better accuracy and reduction in the number of unknowns than standard the Galerkin projection using a constant basis.
Cite
@article{arxiv.1903.02073,
title = {Model Order Reduction for Temperature-Dependent Nonlinear Mechanical Systems: A Multiple Scales Approach},
author = {Shobhit Jain and Paolo Tiso},
journal= {arXiv preprint arXiv:1903.02073},
year = {2019}
}