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- 저자 : Grisso (검색결과 3 건)
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Autonomous hardware development for impedance-based structural health monitoring
Grisso, Benjamin L.,Inman, Daniel J. Techno-Press 2008 Smart Structures and Systems, An International Jou Vol.4 No.3
The development of a digital signal processor based prototype is described in relation to continuing efforts for realizing a fully self-contained active sensor system utilizing impedance-based structural health monitoring. The impedance method utilizes a piezoelectric material bonded to the structure under observation to act as both an actuator and sensor. By monitoring the electrical impedance of the piezoelectric material, insights into the health of the structured can be inferred. The active sensing system detailed in this paper interrogates a structure utilizing a self-sensing actuator and a low cost impedance method. Here, all the data processing, storage, and analysis is performed at the sensor location. A wireless transmitter is used to communicate the current status of the structure. With this new low cost, field deployable impedance analyzer, reliance on traditional expensive, bulky, and power consuming impedance analyzers is no longer necessary. A complete power analysis of the prototype is performed to determine the validity of power harvesting being utilized for self-containment of the hardware. Experimental validation of the prototype on a representative structure is also performed and compared to traditional methods of damage detection.
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Autonomous hardware development for impedance-based structural health monitoring
Benjamin L. Grisso,Daniel J. Inman 국제구조공학회 2008 Smart Structures and Systems, An International Jou Vol.4 No.3
The development of a digital signal processor based prototype is described in relation to continuing efforts for realizing a fully self-contained active sensor system utilizing impedance-based structural health monitoring. The impedance method utilizes a piezoelectric material bonded to the structure under observation to act as both an actuator and sensor. By monitoring the electrical impedance of the piezoelectric material, insights into the health of the structured can be inferred. The active sensing system detailed in this paper interrogates a structure utilizing a self-sensing actuator and a low cost impedance method. Here, all the data processing, storage, and analysis is performed at the sensor location. A wireless transmitter is used to communicate the current status of the structure. With this new low cost, field deployable impedance analyzer, reliance on traditional expensive, bulky, and power consuming impedance analyzers is no longer necessary. A complete power analysis of the prototype is performed to determine the validity of power harvesting being utilized for self-containment of the hardware. Experimental validation of the prototype on a representative structure is also performed and compared to traditional methods of damage detection.
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Park, Seunghee,Grisso, Benjamin L.,Inman, Daniel J.,Yun, Chung-Bang SPRINGER VERLAG KG 2007 RESEARCH IN NONDESTRUCTIVE EVALUATION Vol.18 No.2
<P> This article presents an experimental study using an active sensing device that consists of a miniaturized impedance-measuring chip (AD5933) and a self-sensing macrofiber composite (MFC) patch to detect corrosion in aluminum structures widely used for aerospace, civil, and mechanical systems. A simple beam structure made from a 6063 T5 aluminum alloy was selected for corrosion-detection testing. Four different corrosion cases with two different locations and two different degrees at each location were artificially inflicted on the beam using hydrochloric (HCI) acid. To identify the degrees and locations of the corrosion, the electromechanical impedance-based damage-detection technique using the proposed active sensing device was investigated. Root-mean-square deviation (RMSD) metric of the real part of the impedances obtained from the MFC patch was selected as a damage-sensitive feature. Experimental results have verified that the proposed approach can be an effective tool for detection and quantification of corrosion in aluminum structures.</P>
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