A machine learning-based approach to predict the fatigue life of three-dimensional cracked specimens

Knowledge extraction and transfer in data-driven fracture mechanics

(2021) Xing Liu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A machine learning approach to fracture mechanics problems

(2020) Xing Liu et al.   ACTA MATERIALIA

Equivalent thickness-based three dimensional stress fields and fatigue growth of part-through cracks emanating from a circular hole

(2020) Wei Guo et al.   ENGINEERING FRACTURE MECHANICS

Deep learning predicts path-dependent plasticity

(2019) M. Mozaffar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

(2018) Liang Liang et al.   Journal of the Royal Society Interface

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

An equivalent thickness conception for evaluation of corner and surface fatigue crack closure

(2013) Peishi Yu et al.   ENGINEERING FRACTURE MECHANICS

Equivalent thickness conception for corner cracks

(2010) Peishi Yu et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES