Modeling for viscoelastic behaviors of magnetorheological elastomer using single hidden layer feed-forward neural network approaches
The prediction of magnetorheological elastomer (MRE) dynamic modulus behavior is a challenging process because of the material’s highly nonlinear nature. This problem becomes apparent while considering various possible material’s fabrication parameters selection. Previously, parametric modeling tech...
Saved in:
Main Author: | Saharuddin, Kasma Diana |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/100352/1/KasmaDianaSaharuddinPMJIIT2022.pdf |
Tags: |
Add Tag
mre
1
|
Similar Items
-
Rheological and electrical properties of cobalt-based magnetorheological elastomer
by: Zainudin, Afiq Azri
Published: (2021) -
Characterisation of viscoelastic response of swollen elastomers /
by: Fazal, Mahak
Published: (2013) -
Waste tire rubber based magnetorheological elastomers
by: Ubaidillah, Ubaidillah
Published: (2016) -
Dynamic analysis of Magnetorheological Elastomer engine mount system /
by: Ladipo, Ismail Ladele
Published: (2016) -
Fault location in unbalanced distribution system including distributed generation units using multi-layer feed forward neural network
by: Farzan, Payam
Published: (2014)