Experimental and numerical investigation of an arch–beam joint for an arch bridge
Y Yang, B Lin, W Zhang - Archives of Civil and Mechanical Engineering, 2023 - Springer
In this paper, the stress analysis of the most critical beam–arch joint of Yuehu Bridge is
conducted, despite the variation in the specific structure of each tied arch bridge. To achieve …
conducted, despite the variation in the specific structure of each tied arch bridge. To achieve …
Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision …
In view of the problems of ineffective feature extraction and low detection accuracy in
existing detection system, this study presents a novel machine vision-based approach …
existing detection system, this study presents a novel machine vision-based approach …
Segmentation of rust defects on painted steel surfaces by intelligent image analysis
R Vorobel, I Ivasenko, O Berehulyak… - Automation in Construction, 2021 - Elsevier
Automated assessment of degree of rusting of the painted surfaces of metal constructions is
an important task. It is complicated by the fact that the paints have different colours. Also …
an important task. It is complicated by the fact that the paints have different colours. Also …
[HTML][HTML] A review of recent research advances on structural health monitoring in Western Australia
Abstract Structural Health Monitoring (SHM) has been attracting numerous research efforts
around the world because it targets at monitoring structural conditions and performance to …
around the world because it targets at monitoring structural conditions and performance to …
Online unsupervised detection of structural changes using train–induced dynamic responses
This paper exploits unsupervised data-driven structural health monitoring (SHM) in order to
propose a continuous online procedure for damage detection based on train-induced …
propose a continuous online procedure for damage detection based on train-induced …
Assessment of the structural conditions in steel pipeline under various operational conditions–A machine learning approach
M Saade, S Mustapha - Measurement, 2020 - Elsevier
Oil and water transport pipeline systems are susceptible to damage due to harsh
environmental conditions and operational factors. Hence, ongoing maintenance and …
environmental conditions and operational factors. Hence, ongoing maintenance and …
Near real‐time bolt‐loosening detection using mask and region‐based convolutional neural network
As an essential part of the steel structure, looseness of bolted joint greatly affects the
integrity of the structure; however, there is a lack of technologies to detect the multibolt …
integrity of the structure; however, there is a lack of technologies to detect the multibolt …
Coating condition detection and assessment on the steel girder of a bridge through hyperspectral imaging
The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and
aging in natural weathering. The breakdown of the coating may cause serviceability and …
aging in natural weathering. The breakdown of the coating may cause serviceability and …
Modifying the Hilbert-Huang transform using the nonlinear entropy-based features for early fault detection of ball bearings
MS Hoseinzadeh, SE Khadem, MS Sadooghi - Applied Acoustics, 2019 - Elsevier
Employing a powerful and adaptive method in time-frequency domain is one of the most
important subjects in the nonlinear and non-stationary signal processing. The main objective …
important subjects in the nonlinear and non-stationary signal processing. The main objective …
Multisource data fusion for classification of surface cracks in steel pipes
This paper focuses on the development and validation of a robust framework for surface
crack detection and assessment in steel pipes based on measured vibration responses …
crack detection and assessment in steel pipes based on measured vibration responses …