Ultrasound classification of interacting flaws using finite element simulations and convolutional neural network

A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network

(2022) Yingying He et al.   ENGINEERING WITH COMPUTERS

A Crack Propagation Method for Pipelines with Interacting Corrosion and Crack Defects

(2022) Mingjiang Xie et al.   SENSORS

Analyses of internal structures and defects in materials using physics-informed neural networks

(2022) Enrui Zhang et al.   Science Advances

A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

(2022) Somdatta Goswami et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Structural damage-causing concrete cracking detection based on a deep-learning method

(2022) Xiaojian Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements

(2022) Sijun Niu et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Dynamic fracture of a bicontinuously nanostructured copolymer: A deep-learning analysis of big-data-generating experiment

(2022) Hanxun Jin et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Filtered Selective Search and Evenly Distributed Convolutional Neural Networks for Casting Defects Recognition

(2021) Xiaoyuan Ji et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

An Automatic Welding Defect Location Algorithm based on Deep Learning

(2021) Lei Yang et al.   NDT & E INTERNATIONAL

A continuum model and simulations for large deformation of anisotropic fiber–matrix composites for cardiac tissue engineering

(2021) Yifei Bai et al.   Journal of the Mechanical Behavior of Biomedical Materials

A higher-order morphoelastic beam model for tubes and filaments subjected to biological growth

(2021) Jun Zhong et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Automatic defect detection from X-ray Scans for Aluminum Conductor Composite Core Wire Based on Classification Neutral Network

(2021) Yining Hu et al.   NDT & E INTERNATIONAL

A machine learning approach to fracture mechanics problems

(2020) Xing Liu et al.   ACTA MATERIALIA

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

(2020) Jin Duan et al.   ENGINEERING WITH COMPUTERS

Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder

(2020) Nauman Munir et al.   NDT & E INTERNATIONAL

1D convolutional neural networks and applications: A survey

(2020) Serkan Kiranyaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

(2019) Mingzhu Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick–mortar masonry by fusing nondestructive testing data

(2019) Mayank Mishra et al.   ENGINEERING WITH COMPUTERS

A defect classification methodology for sewer image sets with convolutional neural networks

(2019) Dirk Meijer et al.   AUTOMATION IN CONSTRUCTION

A thermo-mechanically coupled finite strain model for phase-transitioning austenitic steels in ambient to cryogenic temperature range

(2019) Mrityunjay Kothari et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Deep learning predicts path-dependent plasticity

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

On predicting the interaction of crack-like defects in ductile fracture

(2018) H.E. Coules   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent defect classification system based on deep learning

(2018) Ruifang Ye et al.   Advances in Mechanical Engineering

Convolutional neural network for ultrasonic weldment flaw classification in noisy conditions

(2018) Nauman Munir et al.   ULTRASONICS

Elastic-plastic fracture response of multiple 3-D interacting cracks in offshore pipelines subjected to large plastic strains

(2017) M.Z. Ariffin et al.   ENGINEERING FAILURE ANALYSIS

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

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

Ultrasonic signal classification and imaging system for composite materials via deep convolutional neural networks

(2017) Min Meng et al.   NEUROCOMPUTING

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network

(2016) Jing Liu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Interaction of corrosion defects in pipelines – Part 1: Fundamentals

(2016) Adilson C. Benjamin et al.   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Crack detection and characterization techniques-An overview

(2014) Yao Yao et al.   Structural Control & Health Monitoring

Wavelet transform-based feature extraction for ultrasonic flaw signal classification

(2012) Peng Yang et al.   NEURAL COMPUTING & APPLICATIONS

A thermo-mechanically-coupled large-deformation theory for amorphous polymers in a temperature range which spans their glass transition

(2010) Vikas Srivastava et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Automatic Defect Classification in Ultrasonic NDT Using Artificial Intelligence

(2010) S. Sambath et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Thermally actuated shape-memory polymers: Experiments, theory, and numerical simulations

(2010) Vikas Srivastava et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Prediction of Fully Plastic Collapse Stresses for Pipes With Two Circumferential Flaws

(2009) Kunio Hasegawa et al.   JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME

Defect detection using ultrasonic arrays: The multi-mode total focusing method

(2009) Jie Zhang et al.   NDT & E INTERNATIONAL

Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry

(2008) A.A. Carvalho et al.   INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING