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This study aims to model fatigue crack growth in teeth to understand the mechanisms behind abfraction and post-restoration cracking. Computational fracture mechanics models are used to predict crack propagation at relevant rates and under typical physiological loads. Insights from this study can help improve dental restorations to avoid fatigue damage.
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Predicting fatigue damage in intact and restored teeth Sam Evans Sam Smith School of Engineering, Cardiff University PO Box 925, The Parade, Cardiff CF24 0YF
Introduction • Tooth fracture or cracking is a common cause of clinical failure • The cause of this problem is not well understood • Cracks occur in the tooth due to cavity preparation • Abfraction may involve fatigue
Typical tooth damage Reproduced from:- http://www.umbc.edu/engineering/ me/bsms/dental.html
Abfraction Typical non- carious cervical lesions (Rees 1998)
Introduction • The aim of this study was to model fatigue crack growth using computational fracture mechanics models • This could provide insights into the mechanisms of abfraction and post- restoration cracking
The problem • A typical molar with an amalgam restoration was modelled • A 114m crack was introduced at the region of maximum stress, as found by Xu et al after preparation with a diamond burr1. 1. Xu, H. H. K., Kelly, J. R., Jahanmir, S., Thompson, V. P., Enamel subsurface damage due to tooth preparation with diamonds. J. Dent. Res. 76(10) (1997):1698-706.
Finite element model • A 2D finite element model was developed, based on Arola et al2. • Modelled in plane strain, using Franc2D (Cornell Fracture Group, www.cfg.cornell edu) • Linear interface elements were used- mostly in compression 2. Arola, D., Huang, M. P. and Sultan, M. B., The failure of amalgam dental restorations due to cyclic fatigue crack growth J. Mat. Sci.: Materials in Medicine10(1999): 319-327.
Initial 114m crack
Crack region remeshed
Fatigue life prediction • Preliminary fatigue crack growth data by Arola et al3 was used to predict the crack growth rate • A simple Paris Law model fits the data well • Variable amplitude loading etc will affect crack growth in practice 3. www.enduratec.com/pdf/Appbrief-UMBC.PDF
Stiffness of side much reduced
Crack length vs time Crack length (mm) Time (years)
Discussion • Stresses in the tooth are in the right range to cause clinical fractures in a typical clinical timescale • Crack may become dormant due to load redistribution • Tooth is then left vulnerable to unusual loads, decay etc
Crack length Crack length (mm) 50N load 20Nload Figure The number of cycles for the crack to grow to a given length under a 10N load for the first and final models Cycles
Discussion • Propagation of cracks is likely at typical physiological loads • Crack growth likely from small (50µm) initial cracks • Possible formation of deep rounded lesions inside the PDL • Interaction with erosion during initiation and propagation
Conclusions • These models predict crack propagation at relevant rates under typical physiological loads • Fatigue seems likely to be a factor in abfraction damage • Possible to avoid fatigue damage through improved restorations?
Acknowledgements • The abfraction model was developed by Sam Smith • The Franc software is provided by the Cornell Fracture Group http://www.cfg.cornell.edu