Data-driven Computing in Elasticity via Chebyshev Approximation
Computational Engineering, Finance, and Science
2019-04-24 v1
Abstract
This paper proposes a data-driven approach for computing elasticity by means of a non-parametric regression approach rather than an optimization approach. The Chebyshev approximation is utilized for tackling the material data-sets non-linearity of the elasticity. Also, additional efforts have been taken to compare the results with several other state-of-the-art methodologies.
Cite
@article{arxiv.1904.10434,
title = {Data-driven Computing in Elasticity via Chebyshev Approximation},
author = {Rahul-Vigneswaran K and Neethu Mohan and Soman KP},
journal= {arXiv preprint arXiv:1904.10434},
year = {2019}
}
Comments
6 pages, Accepted for ICCS 2019