Predicting the rate of fatigue crack propagation in concrete using acoustic emission

Kishen, Chandra Jm, V. Radhika (2023). "Predicting the rate of fatigue crack propagation in concrete using acoustic emission." In Proceedings of FraMCoS 11, Bangalore, India.

Kishen, Chandra Jm, V. Radhika. "Predicting the rate of fatigue crack propagation in concrete using acoustic emission." Paper presented at FraMCoS 11, Bangalore, India, 2023.

Kishen, Chandra Jm, V. Radhika, "Predicting the rate of fatigue crack propagation in concrete using acoustic emission," in Proc. FraMCoS 11, Bangalore, India, 2023.

@inproceedings{kishen2023,
  title     = {Predicting the rate of fatigue crack propagation in concrete using acoustic emission},
  author    = {Kishen, Chandra Jm, V. Radhika},
  year      = {2023},
  booktitle = {Proceedings of FraMCoS 11},
  address   = {Bangalore, India},
}

TY  - CPAPER
TI  - Predicting the rate of fatigue crack propagation in concrete using acoustic emission
AU  - Kishen, Chandra Jm
AU  - V. Radhika
PY  - 2023
T2  - Proceedings of FraMCoS 11
CY  - Bangalore, India
UR  - https://framcos.org/wp-content/uploads/framcos-papers/Predicting_the_rate_of_fatigue_crack_propagation_in_concrete_using_acoustic_emis.pdf
AB  - Acousticemission(AE)isanon-destructivetestingtechniquethatcanbeusedforreal-time monitoring and quantification of fatigue crack growth in concrete structures. This can be achieved by establishing correlations between the rate of crack propagation and acoustic emission signal char- acteristics. The aim of the present work is to extract multiple AE parameters such as hits, counts, amplitude, and energy from AE signals and subsequently, identify the parameter that gives the best results for concrete. Based on the statistical analysis, the model incorporating AE absolute energy is found to give the most accurate estimates of crack growth rate for concrete specimens. The model is calibrated and validated by post-processing of AE…
ER  -