• Jayesh Bhojraj Amrutkar
• Sajal Roy
• Shridhar Joshi
• Abhinandhan Admuthe

In this paper, the numerical analysis and experimental validation of a stiffened composite plate has been carried out from the point of view of structural health monitoring. The numerical analysis and experimental work include the transient analysis on healthy as well as debonded stiffened composite plate structure. The debond has been introduced between the plate and the stiffener at various locations. The results of numerical analysis have been compared with the results of experimental analysis. The dynamic strain data was captured from numerical as well as experimental testing. From this data, a useful statistical parameter has been extracted to train the Artificial Neural Network (ANN). Based on this parameter, the neural network has been trained, validated and tested. The results of this work showed that the strain gauges and ANN can be used as effective tools for Structural Health Monitoring (SHM).

Composites, Structural Health Monitoring, Stiffener debonding, Artificial Neural Network, Strain Gauges.

"Numerical Analysis and Experimental Validation of Stiffened Composite Plate for Structural Health Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.619-623, June 2019, Available :http://www.jetir.org/papers/JETIR1906J23.pdf

"Numerical Analysis and Experimental Validation of Stiffened Composite Plate for Structural Health Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp619-623, June 2019, Available at : http://www.jetir.org/papers/JETIR1906J23.pdf