Deep Learning based Thermal Crack Detection on Structural Concrete Exposed to Elevated Temperature

Localization and segmentation of metal cracks using deep learning

(2020) Yasir Aslam et al.   Journal of Ambient Intelligence and Humanized Computing

Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network

(2020) Chuncheng Feng et al.   SENSORS

Automated Detection of Surface Cracks and Numerical Correlation with Thermal-Structural Behaviors of Fire Damaged Concrete Beams

(2020) Eunmi Ryu et al.   International Journal of Concrete Structures and Materials

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

(2020) Ankang Ji et al.   AUTOMATION IN CONSTRUCTION

A cost effective solution for pavement crack inspection using cameras and deep neural networks

(2020) Qipei Mei et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluation of thermal cracks on fire exposed concrete structures using Ripplet​ transform

(2020) A. Diana Andrushia et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing

(2019) Eftychios Protopapadakis et al.   APPLIED INTELLIGENCE

Structural crack detection using deep learning–based fully convolutional networks

(2019) Xiao-Wei Ye et al.   ADVANCES IN STRUCTURAL ENGINEERING

Deep learning-based brace damage detection for concentrically braced frame structures under seismic loadings

(2019) Heng Liu et al.   ADVANCES IN STRUCTURAL ENGINEERING

A hybrid ant lion optimizer with improved Nelder–Mead algorithm for structural damage detection by improving weighted trace lasso regularization

(2019) Chengbin Chen et al.   ADVANCES IN STRUCTURAL ENGINEERING

Damage detection of structures using signal processing and artificial neural networks

(2019) Seyed Bahram Beheshti Aval et al.   ADVANCES IN STRUCTURAL ENGINEERING

Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer

(2019) Rahmat Ali et al.   CONSTRUCTION AND BUILDING MATERIALS

Post-fire damage assessment and capacity based modeling of concrete exposed to elevated temperature

(2019) Daniel Paul Thanaraj et al.   INTERNATIONAL JOURNAL OF DAMAGE MECHANICS

Pavement Distress Detection with Deep Learning Using the Orthoframes Acquired by a Mobile Mapping System

(2019) Andri Riid et al.   Applied Sciences-Basel

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

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

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unified Vision-Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization

(2018) Ruoxing Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A method of detecting the cracks of concrete undergo high-temperature

(2018) Lang Li et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

(2018) Allen Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Improved online sequential extreme learning machine for identifying crack behavior in concrete dam

(2018) Bo Dai et al.   ADVANCES IN STRUCTURAL ENGINEERING

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters

(2017) Y.-J. Cha et al.   ENGINEERING STRUCTURES

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Temperature measurement and damage detection in concrete beams exposed to fire using PPP-BOTDA based fiber optic sensors

(2017) Yi Bao et al.   Smart Materials and Structures

Vision-based detection of loosened bolts using the Hough transform and support vector machines

(2016) Young-Jin Cha et al.   AUTOMATION IN CONSTRUCTION