Abstract
In recent years, researchers have realized that fatigue crack growth is by nature a random phenomena and must be investigated using probabilistic methods. As a result, much attention has been devoted to developing and studying stochastic models of fatigue crack growth. In the work presented, the statistical structure of the fatigue crack growth data obtained by Virkler, et al. (1978) is investigated using a lognormal random process model in conjunction with three crack growth laws: Paris-Erdogan, hyperbolic sine and cubic polynomial. Estimation of the required parameters for each crack growth law are presented. A computationally efficient Petrov-Galerkin finite element method is used in the determination of the results.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 67-74 |
| Number of pages | 8 |
| Journal | American Society of Mechanical Engineers, Applied Mechanics Division, AMD |
| Volume | 93 |
| State | Published - 1988 |
| Externally published | Yes |
| Event | Computational Probabilistic Methods - Berkeley, CA, USA Duration: Jun 20 1988 → Jun 22 1988 |
ASJC Scopus subject areas
- Mechanical Engineering