Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
[HTML][HTML] 1D convolutional neural networks and applications: A survey
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto
standard for various Computer Vision and Machine Learning operations. CNNs are feed …
standard for various Computer Vision and Machine Learning operations. CNNs are feed …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks
CV Dung, H Sekiya, S Hirano, T Okatani… - Automation in …, 2019 - Elsevier
There has been a growing demand for early detection of fatigue cracks in gusset plate joints
in steel bridges. The present study develops a robust method for crack detection using the …
in steel bridges. The present study develops a robust method for crack detection using the …
Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Explainable 1-D convolutional neural network for damage detection using Lamb wave
Recently researchers are exploring the data-driven machine learning techniques to identify
damage from Lamb wave response. This is primarily because the physics based model are …
damage from Lamb wave response. This is primarily because the physics based model are …
Vibration-based multiclass damage detection and localization using long short-term memory networks
This paper proposes a novel damage detection and localization method of civil structures
using a windowed Long Short-Term Memory (LSTM) network. A sequence of windowed …
using a windowed Long Short-Term Memory (LSTM) network. A sequence of windowed …
Convolutional neural network approach for robust structural damage detection and localization
Damage diagnosis has been a challenging inverse problem in structural health monitoring.
The main difficulty is characterizing the unknown relation between the measurements and …
The main difficulty is characterizing the unknown relation between the measurements and …