An integrated fatigue damage diagnosis and prognosis framework is proposed in this paper. The proposed methodology integrates a Lamb wave-based damage detection technique and a Bayesian updating method for remaining useful life (RUL) prediction. First, a piezoelectric sensor network is used to detect the fatigue crack size near the rivet holes in fuselage lap joints. Advanced signal processing and feature fusion is then used to quantitatively estimate the crack size. Following this, a small time scale model is introduced and used as the mechanism model to predict the crack propagation for a given future loading and an estimate of initial crack length. Next, a Bayesian updating algorithm is implemented incorporating the damage diagnostic result for the fatigue crack growth prediction. Probability distributions of model parameters and final RUL are updated considering various uncertainties in the damage prognosis process. Finally, the proposed methodology is demonstrated using data from fatigue testing of realistic fuselage lap joints and the model predictions are validated using prognostics metrics.
How to Cite
Diagnosis, prognosis, Lamb wave, lap joints, fatigue
Bell, Stephanie (2001) "A Beginner’s Guide to Uncertainty of Measurement" The National Physical Laboratory (2): 9-16.
Chong, K. P. (1999). "Health monitoring of Civil structures " J. Intell. Mater. Syst. Struct 9(11): 892-898.
Constantin, N., S. Sorohan, et al. (2011). "Efficient and low cost PZT network for detection and localizaiton of damage in low curvature panels." Journal of Theoretical and Applied Mehanics 49(3): 685-704.
El, H. M., T. Topper, et al. (1979). "Prediction of nonpropagating cracks." Eng. Fract. Mech. 11: 573- 584.
Elber, W. (1970). "Fatigue crack closure under cyclic tension." Eng. Fract. Mech. 21: 37-45.
Forman, R. (1967). "Numerical analysis of crack propagation in cyclic-loaded structures." J Basic Eng 89: 459-464.
Giurgiutiu, V. (2003). "Lamb wave generation with piezoelectric wafer active sensors for structural health monitoring." Smart Structures and Materials 5056: 111- 122.
Giurgiutiu, V. (2005). "Tuned Lamb wave excitation and detection with piezoelectric wafer active sensors for structural health monitoring." Journal of Intelligent Material Systems and Structures 16(4): 291.
Giurgiutiu, V., A. Zagrai, et al. (2002). "Piezoelectric wafer embedded active sensors for aging aircraft structural health monitoring." Structural Health Monitoring 1(1): 41-61.
Guan, X., R. Jha, et al. (2009). "Probabilistic fatigue damage prognosis using maximum entropy approach." Journal of Intelligent Manufacturing: 1-9.
Guan, X., R. Jha, et al. (2011). "Model Selection, Updating and Averaging for Probabilistic Fatigue Damage Prognosis." Structural Safety 33(3): 242-249.
hijazi, A. L., B. L. Smith, et al. (2004). "Linkup strength of 2024-T3 bolted lap joint panels with multiple-site damage." Journal of Aircraft 41(2): 359-364.
Ihn, J.-B. and F.-K. Chang (2004). "Detction and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics." Smart Mater. Struct. 13: 609-620.
JR, C. H. K. and F.-K. Chang (1993). " Identifying delamination in composite beams using built-in piezoelectrics." J. Intell. Mater. Syst. Struct 6: 649-672.
Kazys, R. and L. Svilainis (1997). "Ultrasonic detection and characterization of delaminations in thin composite plates using signal processing technique." Ultrasonics 35: 367-383.
Kitagawa, H. and S. Takahashi (1979). "Applicability of fracture mechanics to very small cracks or cracks in the early stage.ASM." In: Proceedings of the second international conference on mechanical behaviour of materials: 627-631.
Koruk, M., & Kilic, M. (2009). "The usage of IR thermography for the temprature measurements inside an automobile cabin." International Communication in Heat and Mass Tansfer 36(872-877).
Laird, C. (1979). "Mechanisms and theories of fatigue." Fatigue Microstruct.: 149-203.
Lemistre, M. and D. Balageas (2001). "Structural health monitoring system based on diffracted Lamb wave analysis by multiresolution processing." Smart materials and structures 10: 504.
Liu, Y. and S. Mahadevan (2009). "Probabilistic fatigue life prediction using an equivalent initial flaw size distribution." International Journal of Fatigue 31(3): 476-687.
Lu, Z. and Y. Liu (2010). "Small time scale fatigue crack growth analysis." International Journal of Fatigue 32(8): 1306-1321.
Masri, S. F., L. H. Sheng, et al. (2004). "Application of a web-enabled real-time structural health monitoring system for civil infrastructure systems." Smart MATER. STRUCT. 13(6): 1269-1283.
Monkhouse, R., P. Wilcox, et al. (1997). "Flexible interdigital PVDF transducers for the generation of Lamb waves in structures." Ultrasonics 35(7): 489-498.
Nicoletto, G., G. Anzelotti, et al. "X-ray computed tomography vs. metallography for pore sizing and fatigue of cast Al-alloys." Pocedia Engineering 2: 547- 554.
Paris, P. and F. Erdogan (1963). "A critical analysis of crack propagation laws." Journal of Basic Engineering,Transactions of the American Society of Mechanical Engineers: 528-534.
Raghavan, A. and C. E. S. Cesnik (2007). "Review of guided-wave structural health monitoring." Shock and Vibration Digest 39(2): 91-116.
Ritchie, R. and J. Lank (1996). "Small fatigue cracks: a tatement of the problem and potential solutions." Mater. Sci. Eng. 84: 11-16.
Santoni, G. B., L. Yu, et al. (2007). "Lamb wave-mode tuning of piezoelectric wafer active sensors for structural health monitoring." Journal of Vibration and Acoustics 129: 752.
Saxena, A., J. Celaya, et al. (2008). "Metrics for evaluating performance of prognostic techniques." In Aerospace conference, 2009 IEEE: 1-13.
Scalea, d., L. Francesco, et al. (2002). "Guided wave ultrasonics for NDE of aging aircraft components " Proc. SPIE 4704: 123-132.
SU, Z. and L. Ye (2009). "Identification of damage using Lamb waves." Springer LNACM 48: 195-254.
Wang, C. H., J. T. Rose, et al. (2004). "A synthetic time- reversal imaging method for structural health monitoring." J. of smart mater. Struct. 13: 413-423.
Wang, Q. and S. Yuan (2009). "Baeline-free imaging method based on new pzt sensor arrangements." Journal of Intelligent Material Systems and Structures 20(1663- 1673).
Ward, M. D. and D. A. Buttry (1990). "In situ interfacial mass detection with piezoelectric transducers." Science 249(4972): 1000.
Zhang, W. and Y. Liu (2012). "Investigation of incremental fatigue crack growth mechanisms using in situ SEM testing." Internatinal Journal of Fatigue 42: 14-23.
Zhao, X., H. Gao, et al. (2007). "Active health monitoring of an aircraft wing with embedded piezoelctric sensor/actuator network:I.Defect detection, localization and growth monitoring " Smart MATER. STRUCT. 16(1208-17).
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.