Augmented Tikhonov Regularization Method for Dynamic Load Identification

Augmented Tikhonov Regularization Method for Dynamic Load Identification

We introduce the augmented Tikhonov regularization method motivated by Bayesian principle to improve the load identification accuracy in seriously ill-posed problems. Firstly, the Green kernel function of a structural dynamic response is established; then, the unknown external loads are identified....

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Bibliographic Details
Main Authors: Jinhui Jiang, Hongzhi Tang, M Shadi Mohamed, Shuyi Luo, Jianding Chen
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
dynamic load identification
ill-posedness
regularization method
bayesian principle
Tikhonov regularization method
Online Access:https://www.mdpi.com/2076-3417/10/18/6348

Internet

https://www.mdpi.com/2076-3417/10/18/6348

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