Role of length-scale in machine learning based image analysis of ductile fracture surfaces

Author:

Zheng Xinzhu,Battalgazy BekassylORCID,Molkeri AbhilashORCID,Tsopanidis Stylianos,Osovski ShmuelORCID,Srivastava Ankit

Publisher

Elsevier BV

Subject

Mechanics of Materials,General Materials Science,Instrumentation

Reference30 articles.

1. Volume 12: Fractography;ASM Handbook,1987

2. Standard Test Methods for Determining Average Grain Size;ASTM E112-13,2013

3. Correlating fracture toughness and fracture surface roughness via correlation length scale;Barak;Int. J. Fract.,2019

4. Deep learning for fractographic classification in metallic materials;Bastidas-Rodriguez;Eng. Fail. Anal.,2020

5. Recent advances and applications of deep learning methods in materials science;Choudhary;Npj Comput. Mater.,2022

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