Data-driven Computing in Elasticity via Chebyshev Approximation

04/23/2019
by   Rahul-Vigneswaran K, et al.
0

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.

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