Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements

Joint Authors

Kaloop, Mosbeh R.
Hu, Jong Wan

Source

Shock and Vibration

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-29

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

In situ damage detection and localization using real acceleration structural health monitoring technique are the main idea of this study.

The statistical and model identification time series, the response spectra, and the power density of the frequency domain are used to detect the behavior of Yonghe cable-stayed bridge during the healthy and damage states.

The benchmark problem is used to detect the damage localization of the bridge during its working time.

The assessment of the structural health monitoring and damage analysis concluded that (1) the kurtosis statistical moment can be used as an indicator for damage especially with increasing its percentage of change as the damage should occur; (2) the percentage of change of the Kernel density probability for the model identification error estimation can detect and localize the damage; (3) the simplified spectrum of the acceleration-displacement responses and frequencies probability changes are good tools for detection and localization of the one-line bridge damage.

American Psychological Association (APA)

Kaloop, Mosbeh R.& Hu, Jong Wan. 2015. Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements. Shock and Vibration،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1077915

Modern Language Association (MLA)

Kaloop, Mosbeh R.& Hu, Jong Wan. Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements. Shock and Vibration No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1077915

American Medical Association (AMA)

Kaloop, Mosbeh R.& Hu, Jong Wan. Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1077915

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1077915