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Noel P. O’Dowd
Researcher at University of Limerick
Publications - 159
Citations - 6032
Noel P. O’Dowd is an academic researcher from University of Limerick. The author has contributed to research in topics: Creep & Residual stress. The author has an hindex of 34, co-authored 151 publications receiving 5483 citations. Previous affiliations of Noel P. O’Dowd include Brown University & California Institute of Technology.
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Book ChapterDOI
A Rate Dependent Formulation for Void Growth in Single Crystal Materials
TL;DR: In this paper, a micromechanics-based formulation is proposed to describe the growth of initially spherical defects within single crystals under different multiaxial stress states, and a meso-mechanics formulation of void growth for single crystal materials is presented.
Journal ArticleDOI
Fracture mechanics analysis of heterogeneous welds: numerical case studies involving experimental heterogeneity patterns
TL;DR: In this article, the authors developed a method to account for continuous strength property variations in the estimation of crack driving force, thus defining a homogenized weld which is expected to produce a similar crack-driving force response.
Journal ArticleDOI
Quality prediction of ultrasonically welded joints using a hybrid machine learning model
TL;DR: In this paper, a full factorial parametric study using ANOVA is carried out to examine the effects of three USW input parameters (weld energy, vibration amplitude, and clamping pressure) on lap shear strength.
Journal ArticleDOI
Fully-Plastic Strain-Based J Estimation Scheme for Circumferential Surface Cracks in Pipes Subjected to Reeling
TL;DR: In this article, a strain-based expression of the well-known EPRI estimation scheme for the J integral is presented, which is directly based upon fully plastic descriptions of fracture behaviour under significant plasticity.
Journal ArticleDOI
Optimisation of ultrasonically welded joints through machine learning
TL;DR: An artificial neural network (ANN) is combined with a genetic algorithm (GA) to develop a high-fidelity model for predicting the strength of ultrasonically welded joints.