Load Localization and Reconstruction Using a Variable Separation Method

Joint Authors

Zhang, Fang
Zhang, Jing
Jiang, Jinhui

Source

Shock and Vibration

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

Civil Engineering

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