Load Localization and Reconstruction Using a Variable Separation Method
Joint Authors
Zhang, Fang
Zhang, Jing
Jiang, Jinhui
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Load identification is very important in engineering practice.
In this paper, a novel method for load reconstruction and localization is proposed.
In the traditional load localization method, location information is coupled to the impulse response matrix.
The inversion of the impulse response matrix leads the process of load localization to be time-consuming.
So we propose a variable separation method to separate the load location information from the impulse response matrix.
An error optimization function of load histories in different modes is employed to determine the true load location.
After locating the external load, the load time history can be easily reconstructed by the measurement responses and determinate impulse response matrix.
This method is verified by simulations of a simply supported beam acted by a sine load and an impact separately.
An experiment is also carried out to validate the feasibility and accuracy of the proposed method.
American Psychological Association (APA)
Zhang, Jing& Zhang, Fang& Jiang, Jinhui. 2019. Load Localization and Reconstruction Using a Variable Separation Method. Shock and Vibration،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211218
Modern Language Association (MLA)
Zhang, Jing…[et al.]. Load Localization and Reconstruction Using a Variable Separation Method. Shock and Vibration No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1211218
American Medical Association (AMA)
Zhang, Jing& Zhang, Fang& Jiang, Jinhui. Load Localization and Reconstruction Using a Variable Separation Method. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211218
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211218