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This study aims to explore the cyclic bond–slip behavior of basalt fiber-reinforced polymers (BFRP) bars. Experimental pullout tests under monotonic and cyclic loading patterns were conducted in order to examine the effect of the cyclic loading on the bond behavior of BFRP bars. The effects of cyclic loading characteristics, concrete compressive strength, and bar diameter on the bond–slip relationship were examined. In addition, the bond performance of bars with four different surface profiles (smooth, sand-coated, wrapped, and wounded) under different loading protocols was studied and compared to that of deformed steel bars. The results revealed that cyclic loading had a significant effect on the bond performance of BFRP bars and the bond–slip relationship was greatly dependent on the bar surface treatment, as well as the characteristics of the applied cyclic loading protocol. Also, cyclic loading magnified the effect of concrete compressive strength on the bond behavior. A numerical model was proposed to predict the bond–slip relationship of wounded BFRP bars under cyclic loading. The model predictions showed good agreement with experimental results.

This study aims to explore the cyclic bond–slip behavior of basalt fiber-reinforced polymers (BFRP) bars. Experimental pullout tests under monotonic and cyclic loading patterns were conducted in order to examine the effect of the cyclic loading on the bond behavior of BFRP bars. The effects of cyclic loading characteristics, concrete compressive strength, and bar diameter on the bond–slip relationship were examined. In addition, the bond performance of bars with four different surface profiles (smooth, sand-coated, wrapped, and wounded) under different loading protocols was studied and compared to that of deformed steel bars. The results revealed that cyclic loading had a significant effect on the bond performance of BFRP bars and the bond–slip relationship was greatly dependent on the bar surface treatment, as well as the characteristics of the applied cyclic loading protocol. Also, cyclic loading magnified the effect of concrete compressive strength on the bond behavior. A numerical model was proposed to predict the bond–slip relationship of wounded BFRP bars under cyclic loading. The model predictions showed good agreement with experimental results.

Due to the high sampling rate of the power signals by Micro Phasor Measurement Units (μPMUs) tight restrictions on computing time of different algorithms are imposed. Especially when dealing with Phasor estimation by off-nominal frequency. Sampling the power signal with a frequency which is a multiple of the instantaneous power frequency is used to fix this problem. To perform this, Gabor Transform is applied to get the update of the instantaneous frequency each cycle. In this paper we propose many time complexity enhancements to allow the Phasor estimation during the limited intersample interval, and we validate our techniques using computer simulation and real implementation on microcontroller. Using the Arm Cortex STM32F407 microcontroller with the floating point core at the maximum clock speed of 168MHz, we managed to perform all needed algorithms in about 43% of the intersample interval, and leaving the rest for data storage, display of relevant information and communication with the Data Center.