z-logo
Premium
A linear elastic Fuzzy Finite Element Method with two fuzzy input parameters
Author(s) -
Dridger Alex,
Caylak Ismail,
Mahnken Rolf
Publication year - 2016
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201610322
Subject(s) - discretization , fuzzy logic , finite element method , mathematics , poisson distribution , work (physics) , modulus , order (exchange) , mathematical analysis , geometry , computer science , physics , thermodynamics , artificial intelligence , statistics , finance , economics
This work employs a fuzzy finite element method (FFEM) in order to characterize the non‐statistical properties based on the possibility theory [2]. A linear elastic body with fuzzy input material parameters Young's modulus $\tilde{E}$ and Poisson's ratio $\tilde{\nu}$ is studied. To this end, the fuzzy parameters are represented by possibility distributions generated from sparse experimental data. A computational approach involving the α‐level discretization technique [4] is used in order to calculate the possibility of the system response. Finally, our method is applied in a numerical example. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom