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Nonlinear stochastic model of fatigue crack length for on-line damage sensing
Asok Ray
, Sekhar Tangirala
Mechanical Engineering
Research output
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Chapter in Book/Report/Conference proceeding
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Chapter
2
Scopus citations
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Dive into the research topics of 'Nonlinear stochastic model of fatigue crack length for on-line damage sensing'. Together they form a unique fingerprint.
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Keyphrases
Nonlinear Stochastic Model
100%
Damage Sensing
100%
Fatigue Crack
50%
Metallic Materials
50%
Life Prediction
50%
Crack Length
50%
Extended Kalman Filter
50%
AA2024-T3
50%
Damage Monitoring
50%
Time-dependent Fatigue
50%
7075-T6 Aluminum Alloy
50%
Crack Statistics
50%
Wiener Integral
50%
Karhunen-Loève Expansion
50%
Kolmogorov Forward Equation
50%
Engineering
Stationary Crack
33%
Forward Equation
33%