BibTeX:

@article{IJIRSTV1I11187,
     title={Identification of crack in a cantilever beam using improved pso algorithm},
     author={Cletus Sam.C},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={454--461},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11187.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The estimation of a crack location and depth in a cantilever beam structure is formulated as an optimization problem and the optimal location and depth are found by minimizing the objective function. The identification of crack is done by adopting an improved PSO Algorithm. This new method combines Particle Swarm Optimization and Swallow Swarm Optimization that helps in minimizing the objective function with comparatively less time compared to standard PSO Algorithm. The fitness value of a PSO algorithm is calculated based on mean squared error (MSE) simulated response and actual response. The performance evaluation is done in frequency domain analysis. Finally, the results obtained using improved PSO algorithm is compared with the original PSO Algorithm to determine the level of accuracy.

Cracks Identification, Fracture Mechanics, Frequency Domain, Optimization, Particle Swarm Optimization, Swallow Swarm Optimization, Hybrid Particle Swallow Swarm Optimization