Presentation + Paper
27 March 2019 Instrumentation plan verification for damage detection of a vertical lift steel truss bridge
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Abstract
Structural condition assessment of critical infrastructures involves smart instrumentation by a suitable grid of sensors. As instrumenting of large-scale civil structures is costly, design of optimal instrumentation plans that reflect the structural behavior of the bridges while minimizing the project costs is a crucial issue in their health monitoring. An optimal instrumentation in terms of type and number of sensors with their distribution pattern throughout the bridge depends on the structural behavior of interest. The sensitivity of instrumentation plan to different performance measures is dependent to the type and placement of sensors. Therefore, the effectiveness of a damage detection algorithm could be significantly impacted by the sensor layout. In this study, the dynamic instrumentation of a vertical lift steel gusset-less truss bridge is investigated. Several damage scenarios are simulated in its analytical model while various acceleration measurement locations of one of the fixed spans are considered in each case. The vibration of the bridge fixed span used in this study is due to the vertical impact of the lift span on the piers. The damage detection methodology relies on the application of the wavelet theory to demonstrate the structural condition of the bridge based on the predicted accelerations of the structure. As the current instrumentation layout of the bridge has been designed mainly for model updating and fatigue assessment of its gussetless connections, this paper provides some guidelines for modifications of the sensor configuration for future condition assessment and health monitoring purposes of the bridge.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Milad Mehrkash, Vahid Shahsavari, and Erin Santini-Bell "Instrumentation plan verification for damage detection of a vertical lift steel truss bridge", Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109700Q (27 March 2019); https://doi.org/10.1117/12.2514338
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KEYWORDS
Sensors

Bridges

Damage detection

Wavelets

Finite element methods

Sensor networks

Data modeling

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