Paper
5 April 2006 Experimental verification of a distributed computing strategy for structural health monitoring
Author Affiliations +
Abstract
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. F. Spencer Jr. and Y. Gao "Experimental verification of a distributed computing strategy for structural health monitoring", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 617403 (5 April 2006); https://doi.org/10.1117/12.658904
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KEYWORDS
Sensors

Structural health monitoring

Damage detection

Smart sensors

Distributed computing

Matrices

Data acquisition

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