Automated detection and segmentation of concrete air voids using zero-angle light source and deep learning

Intelligent detection of building cracks based on deep learning

(2020) Minjuan Zheng et al.   IMAGE AND VISION COMPUTING

Deep learning-based automated image segmentation for concrete petrographic analysis

(2020) Yu Song et al.   CEMENT AND CONCRETE RESEARCH

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

(2020) Jingwei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep learning-based automatic recognition of water leakage area in shield tunnel lining

(2020) Yadong Xue et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Study on the pores characteristics and permeability simulation of pervious concrete based on 2D/3D CT images

(2019) Fan Yu et al.   CONSTRUCTION AND BUILDING MATERIALS

Quick image analysis of concrete pore structure based on deep learning

(2019) Shuangxi Zhou et al.   CONSTRUCTION AND BUILDING MATERIALS

Automatic damage detection of historic masonry buildings based on mobile deep learning

(2019) Niannian Wang et al.   AUTOMATION IN CONSTRUCTION

Experimental investigation on the effect of pore characteristics on clogging risk of pervious concrete based on CT scanning

(2019) Haonan Zhou et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of bonded mortar of recycled concrete aggregates on interfacial characteristics – Porosity assessment based on pore segmentation from backscattered electron image analysis

(2019) Yongjae Kim et al.   CONSTRUCTION AND BUILDING MATERIALS

Instance-level recognition and quantification for concrete surface bughole based on deep learning

(2019) Fujia Wei et al.   AUTOMATION IN CONSTRUCTION

Evolution of multi-scale pore structure of concrete during steam-curing process

(2019) Chao Zou et al.   MICROPOROUS AND MESOPOROUS MATERIALS

Deep learning–based image instance segmentation for moisture marks of shield tunnel lining

(2019) Shuai Zhao et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Characterization of air voids and frost resistance of concrete based on industrial computerized tomographical technology

(2018) Jie Yuan et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical and fracture properties of concrete reinforced with recycled and industrial steel fibers using Digital Image Correlation technique and X-ray micro computed tomography

(2018) Łukasz Skarżyński et al.   CONSTRUCTION AND BUILDING MATERIALS

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network

(2018) Allen Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Monte Carlo simulations of mesoscale fracture modelling of concrete with random aggregates and pores

(2015) X.F. Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

Robust Test of the Flatbed Scanner for Air-Void Characterization in Hardened Concrete

(2015) Karl W. Peterson et al.   JOURNAL OF TESTING AND EVALUATION

Alite-ye'elimite cement: Synthesis and mineralogical analysis

(2013) Suhua Ma et al.   CEMENT AND CONCRETE RESEARCH

Quantification of the degree of reaction of fly ash

(2010) M. Ben Haha et al.   CEMENT AND CONCRETE RESEARCH

Methods for threshold optimization for images collected from contrast enhanced concrete surfaces for air-void system characterization

(2008) Karl Peterson et al.   MATERIALS CHARACTERIZATION