Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements
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 Yongh...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/102680 |
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| _version_ | 1832559522124660736 |
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| author | Mosbeh R. Kaloop Jong Wan Hu |
| author_facet | Mosbeh R. Kaloop Jong Wan Hu |
| author_sort | Mosbeh R. Kaloop |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e2ca84fa1c73495aa3ce01233ed3d8bf |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-e2ca84fa1c73495aa3ce01233ed3d8bf2025-02-03T01:29:54ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/102680102680Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring MeasurementsMosbeh R. Kaloop0Jong Wan Hu1Department of Civil and Environmental Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406-840, Republic of KoreaDepartment of Civil and Environmental Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406-840, Republic of KoreaIn 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.http://dx.doi.org/10.1155/2015/102680 |
| spellingShingle | Mosbeh R. Kaloop Jong Wan Hu Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements Shock and Vibration |
| title | Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements |
| title_full | Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements |
| title_fullStr | Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements |
| title_full_unstemmed | Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements |
| title_short | Stayed-Cable Bridge Damage Detection and Localization Based on Accelerometer Health Monitoring Measurements |
| title_sort | stayed cable bridge damage detection and localization based on accelerometer health monitoring measurements |
| url | http://dx.doi.org/10.1155/2015/102680 |
| work_keys_str_mv | AT mosbehrkaloop stayedcablebridgedamagedetectionandlocalizationbasedonaccelerometerhealthmonitoringmeasurements AT jongwanhu stayedcablebridgedamagedetectionandlocalizationbasedonaccelerometerhealthmonitoringmeasurements |