Bridge condition rating data modeling using deep learning algorithm

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

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

Concrete crack detection using context‐aware deep semantic segmentation network

(2019) Xinxiang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

An algorithm for automatic localization and detection of rebars from GPR data of concrete bridge decks

(2018) Kien Dinh et al.   AUTOMATION IN CONSTRUCTION

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Probabilistic optimization framework for inspection/repair planning of fatigue-critical details using dynamic Bayesian networks

(2018) David Y. Yang et al.   COMPUTERS & STRUCTURES

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

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

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-driven structural steel damage condition assessment method using deep learning algorithm

(2018) Heng Liu et al.   MEASUREMENT

Big Data for condition evaluation of constructed bridges

(2017) Yail J. Kim et al.   ENGINEERING STRUCTURES

Framework for Mitigating Human Bias in Selection of Explanatory Variables for Bridge Deterioration Modeling

(2017) Minwoo Chang et al.   Journal of Infrastructure Systems

Characterising the effect of external factors on deterioration rates of bridge components using multivariate proportional hazards regression

(2016) Raka Goyal et al.   Structure and Infrastructure Engineering

Deep learning

(2015) Yann LeCun et al.   NATURE

Bridge condition modelling and prediction using dynamic Bayesian belief networks

(2014) M. Imran Rafiq et al.   Structure and Infrastructure Engineering

Deterioration Prediction of Timber Bridge Elements Using the Markov Chain

(2011) Shrigandhi Ranjith et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Using Soft Computing to Analyze Inspection Results for Bridge Evaluation and Management

(2010) Zhe Li et al.   Journal of Bridge Engineering

Artificial Neural Network Model of Bridge Deterioration

(2010) Ying-Hua Huang   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Stochastic Modeling of Deterioration Processes through Dynamic Bayesian Networks

(2009) Daniel Straub   JOURNAL OF ENGINEERING MECHANICS