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Qi Shuai
at Univ of Connecticut
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Publications (6)
Proceedings Article | 8 May 2017 Presentation + Paper
Structural damage identification with multi-objective DIRECT algorithm using natural frequencies and single mode shape
Pei Cao, David Yoo, Qi Shuai, J. Tang
Proceedings Volume 10170, 101702H (2017) https://doi.org/10.1117/12.2260349
KEYWORDS: Structural health monitoring, Chemical elements, Data modeling, Fluctuations and noise, Smart materials, Genetic algorithms, Mechanical engineering, Nondestructive evaluation, Damage detection, Optimization (mathematics), Evolutionary algorithms
Proceedings Article | 15 April 2016 Paper
Piezoelectric admittance-based damage identification by Bayesian inference with pre-screening
Q. Shuai, G. Liang, J. Tang
Proceedings Volume 9799, 97990C (2016) https://doi.org/10.1117/12.2219159
KEYWORDS: Databases, Bayesian inference, Analytical research, Damage detection, Structural health monitoring, Finite element methods, Transducers, Inverse problems, Chemical elements, Statistical analysis
Proceedings Article | 3 April 2015 Paper
Structural damage identification using piezoelectric impedance and Bayesian inference
Q. Shuai, K. Zhou, J. Tang
Proceedings Volume 9435, 94351R (2015) https://doi.org/10.1117/12.2084442
KEYWORDS: Bayesian inference, Finite element methods, Transducers, Damage detection, Systems modeling, Signal processing, Intelligence systems, Structural health monitoring, Analytical research, Mathematical modeling
Proceedings Article | 10 April 2014 Paper
Fault detection in railway track using piezoelectric impedance
Proceedings Volume 9061, 90612R (2014) https://doi.org/10.1117/12.2045230
KEYWORDS: Ferroelectric materials, Transducers, Damage detection, Sensors, Integrated circuit design, Integrated circuits, Resistors, Signal to noise ratio, Structural health monitoring, Temperature metrology
Proceedings Article | 10 April 2014 Paper
Lift-off effect compensation for magnetic impedance-based damage detection
Q. Shuai, J. Tang
Proceedings Volume 9061, 90610S (2014) https://doi.org/10.1117/12.2045128
KEYWORDS: Magnetism, Transducers, Bismuth, Damage detection, Inductance, Magnetic sensors, Numerical simulations, Distance measurement, Sensors, Calibration
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