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Chen Guang,Feng Qibo,Ding Keqin 한국광학회 2016 Current Optics and Photonics Vol.20 No.6
It has been a challenge for researchers to accurately measure high temperature creep strain online withoutdamaging the mechanical properties of the pipe surface. To this end, a noncontact method for measuringhigh temperature strain of a main steam pipe based on digital image correlation was proposed, and a systemfor monitoring of high temperature strain was designed and developed. Wavelet thresholding was usedfor denoising measurement data. The sub-pixel displacement search algorithm with curved surface fittingwas improved to increase measurement accuracy. A field test was carried out to investigate the designedmonitoring system of high temperature strain. The measuring error was less than 0.4 ppm/ºC, which meetsactual measurement requirements for engineering. Our findings provide a new way to monitor creep damageof the main steam pipe of a boiler of an ultra-supercritical power plant in service.
Quantitative evaluation of through-thickness rectangular notch in metal plates based on lamb waves
Na Zhao,Bin Wu,Xiucheng Liu,Keqin Ding,Yanan Hu,Mahmoud Bayat 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.71 No.6
Lamb wave technology is a promising technology in the field of structural health monitoring and can be applied in the detection and monitoring of defects in plate structures. Based on the reconstruction algorithm for the probabilistic inspection of damage (RAPID), a Lamb-based detection and evaluation method of through-thickness rectangular notches in metal plates was proposed in this study. The influences of through-thickness rectangular notch length and the angle between sensing path and notch length direction on signals were further explored through simulations and experiments. Then a damage index calculation method which focuses on both phase and amplitude difference between detected signals and baseline signals was proposed. Based on the damage index difference between two vertically crossed sensing paths which pass through the notch in a sensor network, the notch direction identification method was proposed. In addition, the notch length was determined based on the damage index distribution along sensing paths. The experimental results showed that the image reconstructed with the proposed method could reflect the information for the evaluation of notches.