An experimental technique is developed whereby a personal computer is used to control a hydraulic servo-pulser testing machine and generate random loads for loading a fracture specimen. Thus giving a control over random load generation and hence random load history. This allows for the generation of
Modelling of curvilinear random fatigue crack growth
β Scribed by K. Sobczyk; J. Trebicki; B.F. Spencer Jr.
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 765 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0013-7944
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β¦ Synopsis
In the paper, stochastic description of curvilinear fatigue crack growth is provided. The crack growth process is regarded as a cumulative random jump process consisting of a random number of random increments with random angles. The probability distribution of the crack size represented by the model is determined and the relation of the basic model parameters to fracture mechanics is analyzed. The description presented seems to be capacious enough to include various realistic situations resulting in departure of crack growth from the straight-line direction.
π SIMILAR VOLUMES
A probabilistic analysis of the fatigue crack growth, fatigue life and reliability of a structural or mechanical component is presented on the basis of fracture mechanics and theory of random processes. The material resistance to fatigue crack growth and the time-history of the stress are assumed to
number of stochastic models of fatigue crack growth under constant amplitude cyclic loading are assessed in the light of experimental data. Particular attention is paid to the predictive performance of the models under a change in the initial crack length and generally it is found that the models pr
The random residual in the logarithmic form of the Paris-Erdogan equation is for a single stress cycle modeled as a weighted average of a white noise material property process over the crack increment. This leads to a stochastic Paris-Erdogan equation that determines the crack increment implicitly i