id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fis-139	De Iorio, A.; Grasso, M.; Penta, F.; Pucillo, G.P.	A three-parameter model for fatigue crack growth data analysis	2012	9	.pdf	application/pdf	2576	101	50	Since both methods are based on local interpolation of experimental data, irregularities and/or anomalies in the data distribution, for the first method, and the number of data points chosen for the best-fit parabola, for the second one, affect significantly the results. However, it is well known that crack growth data have stochastic nature, as the phenomenon which generates them, due to, essentially, the random evolution of the local combinations, at each point of the crack front, of the induced stress state and material properties.	cache/fis-139.pdf	txt/fis-139.txt