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An enhanced probabilistic model for cleavage fracture assessment accounting for local constraint effects

Dedicated to Prof. Dr.-Ing. Dietmar Gross on occasion of his 65th birthday
: Hohe, J.; Hardenacke, V.; Luckow, S.; Siegele, D.

Preprint urn:nbn:de:0011-n-1725850 (1.9 MByte PDF)
MD5 Fingerprint: 0372eb7cd7860cef4dbde58bd82482a0
Erstellt am: 16.10.2012

Zhang, C.:
Computational mechanics in fracture and damage. A special issue in honor of Prof. Gross : A special session "Computational Dynamic Fracture Mechanics & Meso- and Micromechanical Aspects of Fracture" was held at the 12th International Conference on Fracture (ICF 12), July 12 - 17, 2009, Ottawa, Ontario, Canada
Amsterdam: Elsevier, 2010 (Engineering fracture mechanics 77.2010, Nr.18)
International Conference on Fracture (ICF) <12, 2009, Ottawa>
Special Session "Computational Dynamic Fracture Mechanics & Meso- and Micromechanical Aspects of Fracture" <2009, Ottawa>
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IWM ()

Objective of the present study is the development of an enhanced model for the probabilistic cleavage fracture assessment of ferritic materials considering the conditions for both, nucleation and propagation of micro defects. In a first step, the local load and deformation history at the cleavage initiation spot is analysed numerically for a variety of fracture mechanics specimens. The experimental data base includes experiments on standard deep and shallow crack specimens with different geometries as well as novel small scale cruciform bending specimens. These specimens enable the application of an additional stress component along the crack front. Based on the results, a two-criteria concept for cleavage initiation is proposed, assuming that the propagation of existing micro defects is controlled by the maximum principal stress whereas the nucleation of potentially critical micro defects is governed by a combination of the local plastic strain and the local stress tri axiality at the respective material point. Based on these assumption, a probabilistic cleavage fracture model is formulated and validated against the experimental data base.