eprintid: 1942
rev_number: 7
eprint_status: archive
userid: 56
dir: disk0/00/00/19/42
datestamp: 2013-11-25 11:07:25
lastmod: 2014-10-09 09:20:26
status_changed: 2013-11-25 11:07:25
type: book_section
metadata_visibility: show
creators_name: Carpinteri, Alberto
creators_name: Paggi, Marco
creators_id: 
creators_id: marco.paggi@imtlucca.it
title: Correlation Between Paris’ Law Parameters Based on Self-Similarity and Criticality Condition
ispublished: pub
subjects: TJ
divisions: CSA
full_text_status: none
note: Proceedings of the 16th European Conference of Fracture, Alexandroupolis, Greece, July 3–7, 2006
abstract: Fatigue crack growth data are usually presented in terms of the crack growth rate, da / dN, and the stress-intensity factor range, ΔK. The typical fatigue crack propagation curve is shown in Fig.1, where Region I is referred to as the near-threshold region, Region II as the power-law region and Region III as the rapid crack propagation region where K max → K IC and crack growth instability occurs. In Region II the Paris’ equation (Paris and Erdogan [1]) provides a good approximation to the majority of experimental data: (1) dadN=C(ΔK)m
where C and m are empirical constants usually referred to as Paris’ law parameters.
date: 2006
date_type: published
publisher: Springer 
pagerange: 239-240
id_number: 10.1007/1-4020-4972-2_117
refereed: TRUE
isbn: 978-1-4020-4971-2
book_title: Fracture of Nano and Engineering Materials and Structures
official_url: http://dx.doi.org/10.1007/1-4020-4972-2_117
citation:   Carpinteri, Alberto and Paggi, Marco  Correlation Between Paris’ Law Parameters Based on Self-Similarity and Criticality Condition.   In:  Fracture of Nano and Engineering Materials and Structures.   Springer , pp. 239-240.  ISBN 978-1-4020-4971-2      (2006)