Paper
31 March 2010 Multifunctional sensor network for structural state sensing and structural health monitoring
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Abstract
In order to take full advantages of composites and enable future composite structures to operate at their physical limits rather than limits predetermined from computational design assumptions and safety factors, there is a need to develop an embeddable sensing system to allow a structure to "feel" and "think" its structural state. In this paper, the concept of multi-modal sensing capabilities using a network of multifunctional sensors integrated with a structure has been developed. Utilizing this revolutionary concept, future structures can be designed and manufactured to provide multiple modes of information that when synthesized together can provide capabilities for intelligent sensing, environmental adaptation and multi-functionality. To demonstrate the feasibility of multi-modal sensing capabilities with built-in sensor network, one single type of piezoelectric sensor was selected to perform the measurements of dynamic strain, temperature, damage detection and impact monitoring. The uniqueness of the sensing system includes (1) Flexible, multifunctional sensor networks for integration with any type of composite structural component, (2) Scalable sensor network for monitoring of a large composite structure, (3) Reduced number of connecting wires for sensors, (4) Hybrid diagnostics with multiple sensing capabilities, (5) Sensor network self-diagnostics and self-repair for damaged sensor system.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinlin P. Qing, Roy Ikegami, Shawn J. Beard, David Zhang, Samik Das, Sourav Banerjee, and Fu-Kuo Chang "Multifunctional sensor network for structural state sensing and structural health monitoring", Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764711 (31 March 2010); https://doi.org/10.1117/12.847180
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Sensor networks

Composites

Sensing systems

Temperature metrology

Damage detection

Diagnostics

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