Data-driven Computing in Elasticity via Chebyshev Approximation
arXiv:1904.10434
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.
6 pages, Accepted for ICCS 2019