Machine learning algorithms in civil structural health monitoring: A systematic review
M Flah, I Nunez, W Ben Chaabene… - Archives of computational …, 2021 - Springer
Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …
(SHM) have become of great interest in recent years owing to their superior ability to detect …
[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction
L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
Deep learning–based autonomous concrete crack evaluation through hybrid image scanning
This article proposes a deep learning–based autonomous concrete crack detection
technique using hybrid images. The hybrid images combining vision and infrared …
technique using hybrid images. The hybrid images combining vision and infrared …
Deep learning models for bridge deck evaluation using impact echo
S Dorafshan, H Azari - Construction and Building Materials, 2020 - Elsevier
Impact echo (IE) is a common nondestructive evaluation (NDE) method to detect subsurface
defects in concrete bridge decks. The conventional approach for analyzing the IE data …
defects in concrete bridge decks. The conventional approach for analyzing the IE data …
Algorithms and techniques for the structural health monitoring of bridges: Systematic literature review
Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …
such as bridges, using data from various types of sensors. While SHM systems consist of …
Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network
The structural condition of bridges is generally assessed using manual visual inspection.
However, this approach consumes labor, time, and capital, and produces subjective results …
However, this approach consumes labor, time, and capital, and produces subjective results …
[PDF][PDF] Deep concrete inspection using unmanned aerial vehicle towards cssc database
Concrete spalling and crack inspection is a labor intensive and routine task. However, it
plays an important role in structure health monitoring (SHM) of civil infrastructures …
plays an important role in structure health monitoring (SHM) of civil infrastructures …
Weld line recognition and path planning with spherical tank inspection robots
J Li, S Jin, C Wang, J Xue, X Wang - Journal of Field Robotics, 2022 - Wiley Online Library
Periodic inspections are required for the safe operation of large pressure vessels such as
spherical tanks. Inspection robots have been applied in large pressure vessels due to their …
spherical tanks. Inspection robots have been applied in large pressure vessels due to their …
Internal defect detection quantification and three-dimensional localization based on impact echo and classification learning model
Y Wu, J Zhang, C Gao, J Xu - Measurement, 2023 - Elsevier
Accurately identifying, localizing, and characterizing internal defects is crucial for ensuring
the safety and durability of concrete structures. While impact echo (IE) is a highly promising …
the safety and durability of concrete structures. While impact echo (IE) is a highly promising …
[HTML][HTML] Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications
Abstract Structural Health Monitoring (SHM) systems have been installed on bridges across
the world at an increasing rate in recent years, providing vital data for bridge assessment …
the world at an increasing rate in recent years, providing vital data for bridge assessment …