KEYWORDS: Sensors, Structural health monitoring, Damage detection, Smart sensors, Distributed computing, Matrices, Data acquisition, Data processing, Data communications, Sensor networks
A flexibility-based distributed computing strategy (DCS) for structural health monitoring (SHM) has recently been proposed which is suitable for implementation on a network of densely distributed smart sensors. In that approach, a hierarchical strategy is proposed in which adjacent smart sensors are grouped together to form sensor communities. Structural health monitoring is done without relying on central data acquisition and processing. The main purpose of this
paper is to experimentally verify this flexibility-based DCS approach. The damage locating vector method that forms
foundation of the DCS approach is reviewed. An overview of the DCS approach is presented. This flexibility-based
approach is then experimentally verified employing a 5.6 m long three-dimensional truss structure. To simulate damage in
the structure, the original truss members are replaced by ones with a reduced cross section. Both single and multiple
damage scenarios are studied. Experimental results show that the DCS approach can successfully detect the damage at
local elements using only locally measured information.
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