Open AccessModelling FGM materials. An accurate function approximation algorithms
Author(s) -
Jüri Majak,
M. Mikola,
Meelis Pohlak,
Martin Eerme,
Ramachandran Karunanidhi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1140/1/012013
Subject(s) - haar , exponential function , wavelet , algorithm , grading (engineering) , mathematics , computer science , haar wavelet , power function , function (biology) , boundary value problem , mathematical optimization , wavelet transform , mathematical analysis , discrete wavelet transform , artificial intelligence , engineering , civil engineering , evolutionary biology , biology
The study is focused on development of an accurate and cost effective function approximation techniques for modelling functionally graded materials. Different grading functions (exponential, power law) are expanded into Haar wavelet series based on higher order Haar wavelet approach. The proposed techniques can be utilized also for modelling load cases, complex boundary conditions, grading functions etc.