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Data-driven Computing in Elasticity via Chebyshev Approximation

Publication Type : Journal Article

Publisher : arXiv preprint arXiv

Source : arXiv preprint arXiv:1904.10434 (2019)

Url : https://arxiv.org/pdf/1904.10434.pdf#:~:text=The%20Chebyshev%20approximation%20is%20utilized,non%2Dlinearity%20of%20the%20elasticity.&text=This%20calls%20for%20the%20need,set%20of%20heuristically%20created%20equations.

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication

Year : 2019

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 this Research Publication : R. - V. K, Dr. Neethu Mohan, and Dr. Soman K. P., “Data-driven Computing in Elasticity via Chebyshev Approximation”, arXiv preprint arXiv:1904.10434, 2019.

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