Modelling FGM materials. An accurate function approximation algorithms

Modelling FGM materials. An accurate function approximation algorithms

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 te...

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Veröffentlicht in:IOP conference series. Materials Science and Engineering 2021-05, Vol.1140 (1), p.12013
Hauptverfasser: Majak, J, Mikola, M, Pohlak, M, Eerme, M, Karunanidhi, R
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Sprache:eng
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Algorithms
Approximation
Boundary conditions
Functionally gradient materials
Mathematical analysis
Modelling
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container_title IOP conference series. Materials Science and Engineering
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creator Majak, J
Mikola, M
Pohlak, M
Eerme, M
Karunanidhi, R
description 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.
doi_str_mv 10.1088/1757-899X/1140/1/012013
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subjects Algorithms
Approximation
Boundary conditions
Functionally gradient materials
Mathematical analysis
Modelling
title Modelling FGM materials. An accurate function approximation algorithms
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