Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)

A strategy for in situ determination of self-healing state for strain hardening cementitious composites

(2020) Avik Kumar Das et al.   CEMENT & CONCRETE COMPOSITES

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

A fundamental method for prediction of failure of strain hardening cementitious composites without prior information

(2020) Avik Kumar Das et al.   CEMENT & CONCRETE COMPOSITES

A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks

(2019) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Machine learning based crack mode classification from unlabeled acoustic emission waveform features

(2019) Avik Kumar Das et al.   CEMENT AND CONCRETE RESEARCH

Power spectral entropy of acoustic emission signal as a new damage indicator to identify the operating regime of strain hardening cementitious composites

(2019) Avik Kumar Das et al.   CEMENT & CONCRETE COMPOSITES

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A new non-linear framework for localization of acoustic sources

(2018) Avik Kumar Das et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

An improved image processing method for assessing multiple cracking development in Strain Hardening Cementitious Composites (SHCC)

(2016) Cong Lu et al.   CEMENT & CONCRETE COMPOSITES

A comprehensive study on development of a small-sized self-propelled robot for bridge inspection

(2016) Ayako Akutsu et al.   Structure and Infrastructure Engineering

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Comparative testing of crack formation in strain-hardening cement-based composites (SHCC)

(2015) Gideon P. A. G. van Zijl et al.   MATERIALS AND STRUCTURES

Deep learning

(2015) Yann LeCun et al.   NATURE

Learning Deep Hierarchical Visual Feature Coding

(2014) Hanlin Goh et al.   IEEE Transactions on Neural Networks and Learning Systems

Long-distance precision inspection method for bridge cracks with image processing

(2013) Gang Li et al.   AUTOMATION IN CONSTRUCTION

Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation

(2013) Hung M. La et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Vibration based algorithm for crack detection in cantilever beam containing two different types of cracks

(2013) Mehdi Behzad et al.   JOURNAL OF SOUND AND VIBRATION

Texture Analysis Based Damage Detection of Ageing Infrastructural Elements

(2012) Michael O’Byrne et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fully Non-Contact Ultrasonic Propagation Imaging System for Closed Surface Crack Evaluation

(2011) D. Dhital et al.   EXPERIMENTAL MECHANICS

Adaptive Road Crack Detection System by Pavement Classification

(2011) Miguel Gavilán et al.   SENSORS

Development of method for in-service crack detection based on distributed fiber optic sensors

(2011) Branko Glisic et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL