A deep learning-based approach for crack damage detection using strain field

Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

(2023) Haijie Wang et al.   ENGINEERING FRACTURE MECHANICS

Prediction of tear propagation path of stratospheric airship envelope material based on deep learning

(2023) Junhui Meng et al.   ENGINEERING FRACTURE MECHANICS

A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks

(2023) Roberto Perera et al.   MECHANICS OF MATERIALS

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

(2022) Jianqiang Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Automatic surface crack detection using segmentation-based deep-learning approach

(2022) Deepa Joshi et al.   ENGINEERING FRACTURE MECHANICS

Deep learning method for predicting the strengths of microcracked brittle materials

(2022) Bo-Wen Xu et al.   ENGINEERING FRACTURE MECHANICS

Deep learning method for analysis and segmentation of fatigue damage in X-ray computed tomography data for fiber-reinforced polymers

(2022) Ramon Helwing et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Machine learning-based prediction of fracture toughness and path in the presence of micro-defects

(2022) Xiaotao Li et al.   ENGINEERING FRACTURE MECHANICS

Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks

(2021) Tobias Strohmann et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

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 deep learning method for damage prognostics of fiber-reinforced composite laminates using acoustic emission

(2021) D. Xu et al.   ENGINEERING FRACTURE MECHANICS

Detection and size estimation of crack in plate based on guided wave propagation

(2020) Beata Zima et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fatigue Life Prediction of GLARE Composites Using Regression Tree Ensemble‐Based Machine Learning Model

(2020) Wei Sai et al.   Advanced Theory and Simulations

Curved fatigue crack growth prediction under variable amplitude loading by artificial neural network

(2020) Bowen Wang et al.   INTERNATIONAL JOURNAL OF FATIGUE

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic fracture mechanics analysis of three-dimensional cracked structures considering random field fracture property

(2019) X.Y. Long et al.   ENGINEERING FRACTURE MECHANICS

Improved density peak clustering-based adaptive Gaussian mixture model for damage monitoring in aircraft structures under time-varying conditions

(2019) Lei Qiu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network

(2019) Ju Huyan et al.   AUTOMATION IN CONSTRUCTION

Predictive modeling of dynamic fracture growth in brittle materials with machine learning

(2018) Bryan A. Moore et al.   COMPUTATIONAL MATERIALS SCIENCE

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals

(2018) Bing Pan   MEASUREMENT SCIENCE and TECHNOLOGY

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

(2016) Daniel Weimer et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Thermal crack growth-based fatigue life prediction due to braking for a high-speed railway brake disc

(2016) S.C. Wu et al.   INTERNATIONAL JOURNAL OF FATIGUE

Modeling arbitrary crack propagation in coupled shell/solid structures with X-FEM

(2015) Qinglei Zeng et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING