Bridge Damage Detection Using Rotation Measurements – Experimental Validation

Farhad Huseynov, Chul Woo Kim, Eugene J. Obrien, James brownjohn, David Hester, K.C. Chang

Research output: Contribution to journalArticle

Abstract

This paper presents a novel bridge condition assessment methodology using direct rotation measurements. Initially, numerical analyses are carried out to develop the theoretical basis of the proposed bridge damage detection methodology. As a result of this study the difference in rotation influence lines obtained for healthy and damaged bridge states is proposed as a damage indicator. The sensitivity of rotation to damage and the effect of sensor locations on sensor sensitivities are investigated. Subsequently, extensive laboratory experiments are conducted on a 5.4 m long simply supported bridge structure in an effort to validate the results from the numerical analyses. The test structure is instrumented with rotation sensors and axle detectors and loaded with a four-axle moving vehicle. In this study, rotations are measured using high grade uniaxial accelerometers. The procedure of measuring rotations using accelerometers is explained within the scope of this study. To test the robustness of the proposed bridge condition assessment methodology, a wide range of single and multiple damage scenarios is investigated and the results from this study show that the proposed methodology can successfully identify damage on a bridge. For the model considered, damage as low as 7% change in stiffness over an extent of 2.5% bridge span is shown to be detectable.
Original languageEnglish
JournalMechanical Systems and Signal Processing
Early online date09 Oct 2019
DOIs
Publication statusPublished - 01 Jan 2020

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Damage detection
Axles
Accelerometers
Sensors
Stiffness
Detectors

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Huseynov, Farhad ; Kim, Chul Woo ; Obrien, Eugene J. ; brownjohn, James ; Hester, David ; Chang, K.C. / Bridge Damage Detection Using Rotation Measurements – Experimental Validation. In: Mechanical Systems and Signal Processing. 2020.
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Bridge Damage Detection Using Rotation Measurements – Experimental Validation. / Huseynov, Farhad; Kim, Chul Woo; Obrien, Eugene J.; brownjohn, James; Hester, David; Chang, K.C.

In: Mechanical Systems and Signal Processing, 01.01.2020.

Research output: Contribution to journalArticle

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