Determine the feasibility of a low cost on-vehicle sensor system for assessing damage in bridges using multi-resolution signal processing techniques.
This project aims at using pseudo data from idealized vehicle-bridge systems, available data from a moving bus, and data acquired in the future from a new vehicle and bridge, to study the feasibility of a new approach for bridge structural health monitoring. The approach has the potential of causing a transformative change in the way bridges are monitored, based on the combination of two special features: 1) The bridge monitoring data is obtained from moving vehicles, and, is therefore, considered as an indirect bridge instrumentation; 2) The proposed structural classification mechanism makes use of highly accurate signal processing techniques used currently for biomedical imaging applications, such as multiresolution classification and wavelets analysis.
|firstname.lastname@example.org||Garrett, James||CIT Deans Office||PI||Faculty - Adjunct|
|Project Brief||2009_-_Garrett_BUS-DATA-DRIVEN_APPROACH_FOR_ASSESSING_DAMAGE_IN_BRIDGE_STRUCTURES_USING_MULTIRESOLUTION_SIGNAL_PROCESSING_TECHNIQUES.pdf||Aug. 15, 2018, 5:01 a.m.|
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