Characterization and optimization of an ultrasonic piezo-optical ring sensor

被引:4
作者
Frankforter, Erik [1 ]
Lin, Bin [1 ]
Giurgiutiu, Victor [1 ]
机构
[1] Univ S Carolina, Dept Mech Engn, Columbia, SC 29201 USA
关键词
piezoelectric; PWAS; FBG; AE; acoustic emission; ring sensor; SHM; ACOUSTIC-EMISSION; STRAIN;
D O I
10.1088/0964-1726/25/4/045006
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A resonant piezo-optical ring sensor with both piezoelectric and fiber Bragg grating (FBG) sensing elements was assessed for ultrasonic wave detection. The ring sensor is an existing device that has been shown experimentally to exhibit a number of sensing features: omnidirectionality, mode selectivity, and frequency tunability. The present study uses finite element modeling to understand these features as a means to characterize and optimize the sensor. A combined vibration-wave propagation modeling approach was used, where the vibrational modeling provided a basis for understanding sensing features, and the wave propagation modeling provided predictive power for sensor performance. The sensor features corresponded to the fundamental vibrational mode of the sensor, particularly to the base motion of this mode. The vibrational modeling was also used to guide sensor optimization, with an emphasis on the FBG and piezoelectric sensing elements. It was found that sensor symmetry and nodes of extraneous resonance modes could be exploited to provide a single-resonance response. A series of pitch-catch guided wave experiments were performed on a thin aluminum plate to assess the optimized sensor configuration. Tuning curves showed a single-frequency response to a Lamb wave and mechanical filtering away from the dominant frequency; the sensor capability for mechanical amplification of a Lamb wave and mechanical amplification of a pencil-lead-break acoustic emission event were also demonstrated.
引用
收藏
页数:16
相关论文
共 26 条
  • [1] ASTM, 2015, E1106122012 ASTM
  • [2] ASTM, 2012, E1106122012 ASTM
  • [3] Modeling, optimization, and experimental validation of a resonant piezo-optical ring sensor for enhanced active and passive structural health monitoring
    Frankforter, Erik
    Bao, Jingjing
    Lin, Bin
    Giurgiutiu, Victor
    [J]. SMART SENSOR PHENOMENA, TECHNOLOGY, NETWORKS, AND SYSTEMS INTEGRATION 2015, 2015, 9436
  • [4] Piezo-optical measurements for guided wave and acoustic emission structural health monitoring
    Frankforter, Erik
    Lin, Bin
    Giurgiutiu, Victor
    [J]. SMART SENSOR PHENOMENA, TECHNOLOGY, NETWORKS, AND SYSTEMS INTEGRATION 2014, 2014, 9062
  • [5] Initiation and propagation steps in pitting corrosion of austenitic stainless steels: monitoring by acoustic emission
    Fregonese, M
    Idrissi, H
    Mazille, H
    Renaud, L
    Cetre, Y
    [J]. CORROSION SCIENCE, 2001, 43 (04) : 627 - 641
  • [6] Giurgiutiu V., 2005, Shock and Vibration Digest, V37, P83, DOI 10.1177/0583102405052561
  • [7] Giurgiutiu V, 2014, STRUCTURAL HEALTH MONITORING WITH PIEZOELECTRIC WAFER ACTIVE SENSORS, 2ND EDITION, P1
  • [8] Giurgiutiu V, 2013, Acousto-ultrasonic sensor Patent Application Publication, Patent No. [US 20130/0129275A123, 201300129275]
  • [9] Omnidirectional piezo-optical ring sensor for enhanced guided wave structural health monitoring
    Giurgiutiu, Victor
    Roman, Catalin
    Lin, Bin
    Frankforter, Erik
    [J]. SMART MATERIALS AND STRUCTURES, 2015, 24 (01)
  • [10] Predictive modeling of electromechanical impedance spectroscopy for composite materials
    Gresil, Matthieu
    Yu, Lingyu
    Giurgiutiu, Victor
    Sutton, Michael
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2012, 11 (06): : 671 - 683