Designed strength identification of concrete by ultrasonic signal processing based on artificial intelligence techniques.

@article{Kim2005DesignedSI,
  title={Designed strength identification of concrete by ultrasonic signal processing based on artificial intelligence techniques.},
  author={Se-Dong Kim and Dong-Hwan Shin and Lea-Mook Lim and Jin Lee and Sung-Hwan Kim},
  journal={IEEE transactions on ultrasonics, ferroelectrics, and frequency control},
  year={2005},
  volume={52 7},
  pages={1145-51}
}
This paper presents a pattern recognition method to identify the designed strength of concrete by evidence accumulation based on artificial intelligence techniques with multiple feature parameters. Concrete specimens in this experiment, which were designed to have the strengths of 180, 210, 240, 300, and 400 kg/cm2, respectively, have been considered. Variance, zero-crossing, mean frequency, autoregressive (AR) model coefficients, and linear cepstrum coefficients are extracted as feature… CONTINUE READING