Paper
3 April 2008 Stochastic crack growth under variable loading for health monitoring and prognosis
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Abstract
This paper formulates a stochastic model of fatigue crack growth in ductile alloys under variable loading of the center wing type. This center wing loading has three different load ratios to depict the most demanding operating conditions. The cumulative distribution function of the crack length estimate is generated by numerically solving a stochastic differential equation describing the physics of the crack growth. The model parameters are obtained by analyzing each load span, and the variable model parameter is used in the corresponding load period. Simulations are used to show that the analytical crack exceedance probability follows the experimental data fairly well.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christina Willhauck, Subhasish Mohanty, Aditi Chattopadhyay, and Pedro Peralta "Stochastic crack growth under variable loading for health monitoring and prognosis", Proc. SPIE 6926, Modeling, Signal Processing, and Control for Smart Structures 2008, 69260L (3 April 2008); https://doi.org/10.1117/12.776476
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Cited by 5 scholarly publications.
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KEYWORDS
Stochastic processes

Data modeling

Differential equations

Process modeling

Analytical research

Physics

Statistical analysis

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