Impact load identification for composite structures using Bayesian regularization and unscented Kalman filter

2016 ◽  
Vol 24 (5) ◽  
pp. e1910 ◽  
Author(s):  
Gang Yan ◽  
Hao Sun ◽  
Oral Büyüköztürk
Keyword(s):  
Kalman Filter ◽  
Composite Structures ◽  
Unscented Kalman Filter ◽  
Impact Load ◽  
Bayesian Regularization ◽  
Load Identification

Online identification of impact loads of multi-degree-of-freedom system based on Kalman filter

2020 ◽  
Vol 64 (1-4) ◽  
pp. 359-367
Author(s):  
Jinhui Jiang ◽  
Shuyi Luo ◽  
Zhongzai Liang
Keyword(s):  
Kalman Filter ◽  
Dynamic Load ◽  
Impact Load ◽  
Structural Response ◽  
Degree Of Freedom ◽  
Load Identification ◽  
Theoretical Derivation ◽  
Structural Dynamic ◽  
Online Identification ◽  
Multiple Impact

Dynamic load identification is the second kind of inverse problem in structural dynamics. It is a process of reconstructing load applied to structure in case of structural dynamic model and information of structural response. Online identification is one of the frontier problems in dynamic load identification, which has high difficulty and broad application prospects. In this paper, an online identification of dynamic load of the multi-degree-of-freedom system based on Kalman filter in modal space is proposed. Since the Kalman filter has excellent real-time performance and robustness, it is possible to be used in dynamic load online identification. We start from the theoretical derivation in detail for the multi-degree-of-freedom system, then the feasibility and effectiveness of the method is verified by numerical simulation of three-degree-of-freedom system with the single impact load and continuous multiple impact load.

Sign in / Sign up

Export Citation Format

Share Document