Parameter Identification Methods for Hyperelastic and Hyper-Viscoelastic Models
In this paper, the Ogden model is employed to characterize the hyperelastic properties of rubber, and on the basis of a pattern search algorithm and the Levenberg-Marquardt algorithm, a professional method that can realize the comprehensive fitting of the uniaxial tension, biaxial tension, planar te...
Main Authors: | Yifeng Wu, Hao Wang, Aiqun Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-11-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/6/12/386 |
Similar Items
-
A Sensitivity-Based Group-Wise Parameter Identification Algorithm for the Electric Model of Li-Ion Battery
by: Wen-Jing Shen, et al.
Published: (2017-01-01) -
An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision
by: Tiago Polizer da Silva, et al.
Published: (2009-03-01) -
The atmospheric model of neural networks based on the improved Levenberg-Marquardt algorithm
by: Cui Wenhui, et al.
Published: (2021-08-01) -
Self-adaptive Green-Ampt infiltration parameters obtained from measured moisture processes
by: Long Xiang, et al.
Published: (2016-07-01) -
Uniqueness and stability of parameter identification in elliptic boundary value problem
by: Abir Benyoucef, et al.
Published: (2022-08-01)