TY - GEN
T1 - Evaluation of SHM with the electromechanical impedance method using a high voltage excitation signal in high frequencies
AU - Nolan, Eric C.
AU - Safaei, Mohsen
AU - Anton, Steven R.
N1 - Publisher Copyright:
© 2019 ASME
PY - 2019
Y1 - 2019
N2 - Structural health monitoring (SHM) has originally been used for static structures. With the development of high-speed data acquisition technology, SHM systems can monitor structures in seconds. Advanced SHM systems for use in dynamic environments require operation in the microsecond timescale. One promising approach is the electromechanical impedance (EMI) technique. The EMI method monitors the impedance of a structure, and damage is indicated by changes in the impedance. Standard impedance measuring hardware are not practical for microsecond detection due to their slow sampling speeds. Faster impedance measuring techniques have been developed and allow for customizable excitation signals. Researchers have also considered taking measurements at higher frequencies to decrease the measurement time. Past works indicate sensitivity to damage is limited above 600 kHz. The goal of this study is to evaluate the sensitivity of the EMI method to damage with a high voltage excitation signal. It was hypothesized that increasing the voltage would increase damage sensitivity at higher frequencies. In this study, the amplitude of the excitation signal was increased using a high frequency voltage amplifier. A PZT disk bonded to a cantilevered aluminum beam was used as the test structure. Damage was created by decreasing the length of the beam. Finite element (FE) simulation was also employed to achieve a better understanding of the experiment. From the results of the experiment and FE model, using a higher excitation voltage has proven not to increase the sensitivity level of the EMI method. Higher voltages do improve the precision of the measurement by increasing the signal to noise ratio.
AB - Structural health monitoring (SHM) has originally been used for static structures. With the development of high-speed data acquisition technology, SHM systems can monitor structures in seconds. Advanced SHM systems for use in dynamic environments require operation in the microsecond timescale. One promising approach is the electromechanical impedance (EMI) technique. The EMI method monitors the impedance of a structure, and damage is indicated by changes in the impedance. Standard impedance measuring hardware are not practical for microsecond detection due to their slow sampling speeds. Faster impedance measuring techniques have been developed and allow for customizable excitation signals. Researchers have also considered taking measurements at higher frequencies to decrease the measurement time. Past works indicate sensitivity to damage is limited above 600 kHz. The goal of this study is to evaluate the sensitivity of the EMI method to damage with a high voltage excitation signal. It was hypothesized that increasing the voltage would increase damage sensitivity at higher frequencies. In this study, the amplitude of the excitation signal was increased using a high frequency voltage amplifier. A PZT disk bonded to a cantilevered aluminum beam was used as the test structure. Damage was created by decreasing the length of the beam. Finite element (FE) simulation was also employed to achieve a better understanding of the experiment. From the results of the experiment and FE model, using a higher excitation voltage has proven not to increase the sensitivity level of the EMI method. Higher voltages do improve the precision of the measurement by increasing the signal to noise ratio.
KW - Electromechanical impedance
KW - High frequency
KW - Piezoelectric
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85084099141&partnerID=8YFLogxK
U2 - 10.1115/SMASIS2019-5556
DO - 10.1115/SMASIS2019-5556
M3 - Conference contribution
AN - SCOPUS:85084099141
T3 - ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019
BT - ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019
Y2 - 9 September 2019 through 11 September 2019
ER -