Infrastructure damage assessment via machine learning approaches: a systematic review
Monitoring civil infrastructures to detect early damage and extract the data required for urban
management can prevent sudden infrastructure collapse, increase infrastructure …
management can prevent sudden infrastructure collapse, increase infrastructure …
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers
N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …
usually performed or supported by human domain experts. However, the manual visual …
Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors
Structural health monitoring (SHM) techniques often require a large number of sensors to
evaluate and monitor the structural health. In this paper, we propose a deep neural network …
evaluate and monitor the structural health. In this paper, we propose a deep neural network …
Detection of damages caused by earthquake and reinforcement corrosion in RC buildings with Deep Transfer Learning
Abstract The Reinforced Concrete (RC) buildings in countries within earthquake zones like
Turkey are generally damaged more than anticipated during earthquakes. Corrosion of …
Turkey are generally damaged more than anticipated during earthquakes. Corrosion of …
Earthquake crack detection from aerial images using a deformable convolutional neural network
Detecting the terrain surface cracks caused by earthquakes, which are termed coseismic
ruptures, has important significance for discovering concealed faults, monitoring their …
ruptures, has important significance for discovering concealed faults, monitoring their …
A novel transformer-based semantic segmentation framework for structural condition assessment
Conventional structural health monitoring (SHM) evaluates the condition of civil structures by
analyzing the data acquired by advanced sensors. The requirement of overinvestment in …
analyzing the data acquired by advanced sensors. The requirement of overinvestment in …
Assessment and monitoring of bridges using various camera placements and structural analysis
This study presents a new vision-based deep learning method to monitor and evaluate the
structural health of in-service infrastructure. For this purpose, three different camera …
structural health of in-service infrastructure. For this purpose, three different camera …
Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature
H Kaveh, R Alhajj - Frontiers in Built Environment, 2024 - frontiersin.org
Introduction Cracks, as structural defects or fractures in materials like concrete, asphalt, and
metal, pose significant challenges to the stability and safety of various structures. Addressing …
metal, pose significant challenges to the stability and safety of various structures. Addressing …
Artificial Intelligence and Deep Learning in Civil Engineering
Artificial intelligence is a variety of software developed that imitates the human brain to
perform the tasks that the human brain can do. Aiming to minimize human intervention, this …
perform the tasks that the human brain can do. Aiming to minimize human intervention, this …
Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning
In this paper, a new framework is proposed for monitoring the dynamic performance of
bridges using three different camera placements and a few visual data processing …
bridges using three different camera placements and a few visual data processing …