Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning

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

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

Developing a heterogeneous ensemble learning framework to evaluate Alkali-silica reaction damage in concrete using acoustic emission signals

(2022) Li Ai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning

(2022) Weijian Zhao et al.   Structural Control & Health Monitoring

Deep Convolution Neural Network-Based Crack Feature Extraction, Detection and Quantification

(2022) Shuai Teng et al.   Journal of Failure Analysis and Prevention

Buckling detection and shape reconstruction using strain distributions measured from a distributed fiber optic sensor

(2022) Xiao Tan et al.   MEASUREMENT

Crack Detection in Concrete Structures Using Deep Learning

(2022) Vaughn Peter Golding et al.   Sustainability

Experimental study and analysis model of flexural synergistic effect of reinforced concrete beams strengthened with ECC

(2022) Jun Tian et al.   CONSTRUCTION AND BUILDING MATERIALS

Determination of vehicle loads on bridges by acoustic emission and an improved ensemble artificial neural network

(2022) Laxman K C et al.   CONSTRUCTION AND BUILDING MATERIALS

Detection of impact on aircraft composite structure using machine learning techniques

(2021) Li Ai et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors

(2021) Xiao Tan et al.   AUTOMATION IN CONSTRUCTION

Deep learning-based planar crack damage evaluation using convolutional neural networks

(2021) X.Y. Long et al.   ENGINEERING FRACTURE MECHANICS

Source localization on large-scale canisters for used nuclear fuel storage using optimal number of acoustic emission sensors

(2021) Li Ai et al.   NUCLEAR ENGINEERING AND DESIGN

Semi-supervised semantic segmentation network for surface crack detection

(2021) Wenjun Wang et al.   AUTOMATION IN CONSTRUCTION

Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques

(2021) Pengyong Miao et al.   CONSTRUCTION AND BUILDING MATERIALS

Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors

(2021) Xiao Tan et al.   AUTOMATION IN CONSTRUCTION

Automatic crack recognition for concrete bridges by fully convolutional neural network and Naive Bayes data fusion based on visual detection system

(2020) Gang Li et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

(2020) Viet-Ha Nhu et al.   CATENA

Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Concrete crack detection and quantification using deep learning and structured light

(2020) Song Ee Park et al.   CONSTRUCTION AND BUILDING MATERIALS

Crack-Depth Estimation in Concrete Elements Using Ultrasonic Shear-Horizontal Waves

(2020) Shibin Lin et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Concrete crack detection and 3D mapping by integrated convolutional neural networks architecture

(2020) Krisada Chaiyasarn et al.   ADVANCES IN STRUCTURAL ENGINEERING

Measuring crack width using a distributed fiber optic sensor based on optical frequency domain reflectometry

(2020) Xiao Tan et al.   MEASUREMENT

Filter-based deep-compression with global average pooling for convolutional networks

(2019) Ting-Yun Hsiao et al.   JOURNAL OF SYSTEMS ARCHITECTURE

A hybrid ensemble method for pulsar candidate classification

(2019) Y. Wang et al.   ASTROPHYSICS AND SPACE SCIENCE

Image-based concrete crack detection in tunnels using deep fully convolutional networks

(2019) Yupeng Ren et al.   CONSTRUCTION AND BUILDING MATERIALS

Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle

(2018) In-Ho Kim et al.   SENSORS

Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning

(2018) Hyunjun Kim et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing

(2017) Hyunjun Kim et al.   SENSORS

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

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Robust Automated Concrete Damage Detection Algorithms for Field Applications

(2012) David Lattanzi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Concrete Crack Detection by Multiple Sequential Image Filtering

(2011) Takafumi Nishikawa et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING