TY  - EJOU
AU  - Pidaparti, RamanaM. 

TI  - Aircraft Structural Integrity Assessment through Computational Intelligence Techniques
T2  - Structural Durability \& Health Monitoring

PY  - 2006
VL  - 2
IS  - 3
SN  - 1930-2991

AB  - This paper provides an overview of the computational intelligence methods developed for the structural integrity assessment of aging aircraft structures. Computational intelligence techniques reviewed include artificial neural networks, inverse neural network mapping, wavelet based image processing methods, genetic algorithms, spectral element methods, and particle swarm optimization. Multi-site damage, corrosion, and corrosion-fatigue damage in aging aircraft is specifically discussed. Results obtained from selected computational intelligence methods are presented and compared to the existing alternate solutions and experimental data. The results presented illustrate the applicability of computational intelligence methods for assessing the structural integrity of aging aircraft structures and materials.
KW  - Corrosion
KW  -  Multi-site Damage
KW  -  Fatigue
KW  -  Structural Integrity
KW  -  Computational Intelligence
KW  -  Particle Swarm Optimization
KW  -  Wavelets

DO  - 10.3970/sdhm.2006.002.131