Describes a probabilistic methodology for fracture assessments of flawed structures constructed of ferritic steels using the research code WSTRESS. The probabilistic formulation for cleavage fracture implements a multiaxial form of the weakest link model which couples the macroscopic fracture behavior with a micromechanics model based on the statistics of microcracks. The Weibull stress, σw, emerges as a suitable near‐tip parameter to provide a connection between the microregime of failure and remote loading (J). WSTRESS builds on an iterative procedure to incorporate a 3‐D finite element description of the crack‐tip stress field and measured values of fracture toughness to calibrate the Weibull modulus, m, and the scale parameter, σu. Specific features of the code include statistical inference of Weibull parameters based on uncensored and censored models (with maximum likelihood method), construction of confidence intervals, several definitions for the near‐tip fracture process zone and other general facilities such as spatial integration of the stress field (to incorporate the random orientation of microcracks) and stochastic simulation of fracture data using the Monte Carlo method. The code also includes a convenient free‐form command language and a seamless interface with finite element results files stored in Patran binary or ASCII format.
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1 February 1998
Technical Paper|
February 01 1998
Numerical evaluation of probabilistic fracture parameters using WSTRESS Available to Purchase
Claudio Ruggieri;
Claudio Ruggieri
Department of Naval Architecture and Ocean Engineering, University of São Paulo, Brazil
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Robert H. Dodds, Jr
Robert H. Dodds, Jr
Department of Civil Engineering, University of Illinois, Urbana, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-7077
Print ISSN: 0264-4401
© MCB UP Limited
1998
Engineering Computations (1998) 15 (1): 49–73.
Citation
Ruggieri C, Dodds RH (1998), "Numerical evaluation of probabilistic fracture parameters using WSTRESS". Engineering Computations, Vol. 15 No. 1 pp. 49–73, doi: https://doi.org/10.1108/02644409810200686
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