ANTUNES, M. Joao (2024) Development of statistical fractography techniques to analyze the mechanical strength of materials through the study of fracture surfaces PRE - Research Project, ENSTA.

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Abstract

This report presents the findings from an internship focused on the statistical analysis of fracture mechanics in heterogeneous materials. The main objective was to advance statistical fractography by improving techniques for characterizing fracture surfaces, particularly through statistical methods applied to roughness and crack propagation. The study explored fracture mechanics under tensile loads, emphasizing statistical properties of crack paths and fracture surface roughness. The scaling behaviors of crack trajectory fluctuations were analyzed to better understand material failure mechanisms. A key focus was enhancing the accuracy of the characteristic length of damage, derived from the auto-correlation function of fracture surfaces. Various fitting methodologies, including linear and non-linear regression models, were compared to obtain more reliable estimations. Challenges such as the box size effect and the stitching problem in scanning fractured surfaces were addressed, with proposed solutions ensuring robust, real-world applicability. The outcomes contribute to advancing statistical fractography as a quantitative tool in material science, improving methods for predicting material failure.

Item Type:Thesis (PRE - Research Project)
Uncontrolled Keywords:Statistical fractography, fracture mechanics, heterogeneous materials, crack propagation, roughness, regression models, material failure, auto-correlation function.
Subjects:Materials Science, Mechanics and Mechanical Engineering
ID Code:10027
Deposited By:Joao ANTUNES
Deposited On:28 août 2024 11:30
Dernière modification:28 août 2024 11:30

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