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Piezo-optical Active Sensing with Pwas and Fbg Sensors for Structural Health Monitoring
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lin, Bill Giurgiutiu, Victor |
| Copyright Year | 2014 |
| Abstract | This paper presents the investigation of piezo-optical active sensing methodology for structural health monitoring (SHM). Piezoelectric wafer active sensors (PWAS) have emerged as one of the major structural health monitoring (SHM) technology; with the same installation of PWAS transducers, one can apply a variety of damage detection methods; propagating acousto-ultrasonic waves, standing waves (electromechanical impedance) and phased arrays. In recent years, fiber Bragg gratings (FBG) sensors have been investigated as an alternative to piezoelectric sensors for the detection of ultrasonic waves. FBG have the advantage of being durable, lightweight, and easily embeddable into composite structures as well as being immune to electromagnetic interference and optically multiplexed. In this paper, the investigation focused on the interaction of PWAS and FBG sensors with structure, and combining multiple monitoring and interrogation methods (AE, pitch-catch, pulseecho, phased-array, thickness mode, electromechanical impedance). The innovative piezo-optical active sensing system consists of both active and passive sensing. PWAS and FBG sensors are bonded to the surface of the structure, or are integrated into structure by manufacturing process. The optimum PWAS size and excitation frequency for energy transfer was determined. The FBG sensors parameters (size, spectrum, reflectivity, etc.) for ultrasonic guided waves sensing were also evaluated. We focused on the optimum FBG length and design to improve the sensitivity, coverage, and signal to noise ratio. In this research, we built the fundamental understanding of different sensors with optimum placement. Calibration and performance improvements for the optical interrogation system are also discussed. The paper ends with conclusions and suggestions for further work. INTRODUCTION Structural health monitoring (SHM) is an area of growing interest and worthy of new and innovative approaches. The increasing age of our existing infrastructure makes the cost of maintenance and repairs a growing concern. Structural health monitoring may alleviate this by replacing scheduled maintenance with as–needed maintenance, thus saving the cost of unnecessary maintenance, on one hand, and preventing unscheduled maintenance, on the other hand. For new structures, the inclusion of structural health monitoring sensors and systems from the design stage is likely to greatly reduce the life–cycle cost. The key technology to an effective SHM system is the sensing element. The past two decades have witnessed an extensive development of SHM sensor technology [1]-[3]. A wide range of sensors have been developed particularly for generating and receiving acousto-ultrasonic waves. Common examples of such SHM sensors are the piezoelectric wafer active sensor (PWAS) transducers [4] and the fiber Bragg grating (FBG) optical sensors [5]. The PWAS transducers serve as both transmitters (exciters) and receivers (sensors) of structural guided waves, whereas the FBG sensors can only act as receivers. (Recent developments have also achieved the generation of guided waves with FBG sensors through the thermo-optical effect[6], but the resulting amplitudes are still order of magnitude below those achieve with piezoelectric transducers). Proceedings of the ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems SMASIS2014 September 8-10, 2014, Newport, Rhode Island, USA |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.me.sc.edu/research/lamss/pdfnew/Conferences/C243_SMASIS2014-7581.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Acoustic cryptanalysis Atrial Premature Complexes Biological specimen Blood Glucose Self-Monitoring CDISC SEND Biospecimens Terminology Characteristic impedance Energy Transfer Excitation Experiment Fiber Optic Technology Flaw hypothesis methodology Interference (communication) MIT-SHM Measurement Device Multiplexing Optical fiber Oral Wafer Phased array Piezoelectricity Pitch shift Preamplifier Device Component Quantitative impedance Reflection coefficient Schedule (document type) Scheduled Maintenance Signal-to-noise ratio Sound quality Super High Material CD Thickness (graph theory) Tissue fiber Tomography, Emission-Computed Transducer Transducers Transmitter Ultrasonics (sound) Ultrasonography, Prenatal Wave packet sensor (device) spiromustine voltage |
| Content Type | Text |
| Resource Type | Article |
