Stochastic crack growth under variable loading for health monitoring and prognosis

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6926, Issue , 2008, Pages

  Willhauck, Christina ^a   Mohanty, Subhasish ^a   Chattopadhyay, Aditi ^a   Peralta, Pedro ^a  

^a Arizona State University   (United States)

Author keywords

Experimental data; Fatigue crack growth; Random process; Statistical analysis; Stochastic modeling; Variable loading

Indexed keywords

MATHEMATICAL MODELS; NUMERICAL METHODS; RANDOM PROCESSES; STATISTICAL METHODS;

EXPERIMENTAL DATA; STOCHASTIC MODELING; VARIABLE LOADING;

FATIGUE CRACK PROPAGATION;

EID: 44349188130     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.776476     Document Type: Conference Paper

References (17)

1. Hess, A., Calvello, G., Frith, P., Engel, S., and Hoitsma, D., "Challenges, issues, and lessons learned chasing the "Big P": real predictive prognositics part 2," Proc. IEEE 1489 (2), (2005).
2. Mohanty, S., Das, S., Chattopadhyay, A., Peralta, P., and Willhauek, C., "Time series prediction of fatigue crack growth using multi-variate Gaussian processes," to be submitted to International Journal of Fatigue (2008).
3. Yang, J.N., and Manning, S.D., "Stochastic crack growth analysis methodologies for metallic structures," Engineering Fracture Mechanics 37 (5), 1105-1124 (1990).
4. Yang, J.N., and Manning, S.D., "A simple second order approximation for stochastic crack growth analysis," Probabilistic Engineering Mechanics 18, 107-118 (2003).
5. Yang, J.N., Manning, S.D., Rudd, J.L., and Artley, M.E., "Probabilistic durability analysis methods for metallic airframes," Probabilistic Engineering Mechanics 2 (1), 9-15 (1987).
6. Wu, W.F., and Ni, C.C., "A study of stochastic fatigue crack growth modeling through experimental data," Probabilistic Engineering Mechanics 18, 107-118 (2003).
7. Wu, W.F., and Ni, C.C., "Probablistic models of fatigue crack propagation and their experimental verification," Probabilistic Engineering Mechanics 19,247-257 (2004).
8. Sobczyk,K., and Spencer,B.F., [Random Fatigue: from Data to Theory], Academic Press, Boston, MA, (1992).
9. Bogdanoff, J.L., and Kozin, F., [Probabilistic Models of Cumulative Damage], Wiley, New York, (1985).
10. Kozin, F., and Bogdanoff, J.L., "Probabilistic models of fatigue crack growth: results and speculations," Nuclear Engineering and Design 115,143-171 (1989).
11. Zhu, W.Q., Lin, Y.K., and Lei, Y., "On fatigue crack growth under random loading," Engineering Fracture Mechanics 43(1), 1-12 (1992).
12. th Joint FAA/DoD/NASA Aging Aircraft Conference (2006).
13. Hong, Y.J., Xing, J., and Wang, J.B., "Statistical analysis of fatigue crack growth for 16MnR steel under constant amplitude loads," International Journal of Pressure Vessels and Piping 76, 379-385 (1999).
14. Moreno, B., Zapatero, J., and Dominguez, J., "An experimental analysis of fatigue crack growth under random loading," International Journal of Fatigue 25, 597-608 (2003).
15. Thomopoulos, N.T., and Johnson, A.C., "Some measures on the standard bivariate lognormal distribution," Proc. Decision Sciences Institute, (2004).
16. Solomos, G.P., "First-passage solutions in fatigue crack propagation," Probabilistic Engineering Mechanics 4 (1), 32-39 (1989).
17. MacKay, D., "Introduction to Gaussian processes," Neural Networks and Machine Learning of NATO ASI Series 168,133-165 (1998).