Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
Critical review of data-driven decision-making in bridge operation and maintenance
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete
S Dorafshan, RJ Thomas, M Maguire - Construction and Building Materials, 2018 - Elsevier
This paper compares the performance of common edge detectors and deep convolutional
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …
Effectiveness of infrared thermography for delamination detection in reinforced concrete bridge decks
E Ichi, S Dorafshan - Automation in Construction, 2022 - Elsevier
This paper presents findings of delamination detection using infrared thermography (IRT) in
five in-service bridges using an unmanned aerial vehicle system. The authors have used …
five in-service bridges using an unmanned aerial vehicle system. The authors have used …
A review of infrared thermography for delamination detection on infrastructures and buildings
K Tomita, MYL Chew - Sensors, 2022 - mdpi.com
This paper provides a comprehensive review on the use of infrared thermography to detect
delamination on infrastructures and buildings. Approximately 200 pieces of relevant …
delamination on infrastructures and buildings. Approximately 200 pieces of relevant …
Review of non-destructive civil infrastructure evaluation for bridges: State-of-the-art robotic platforms, sensors and algorithms
H Ahmed, HM La, N Gucunski - Sensors, 2020 - mdpi.com
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …
A review of machine vision‐based structural health monitoring: methodologies and applications
XW Ye, CZ Dong, T Liu - Journal of Sensors, 2016 - Wiley Online Library
In the past two decades, a significant number of innovative sensing and monitoring systems
based on the machine vision‐based technology have been exploited in the field of structural …
based on the machine vision‐based technology have been exploited in the field of structural …
Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer
A new deep learning-based method is proposed to detect subsurface damage of steel
members in a steel truss bridge using infrared thermography (IRT). To reduce computation …
members in a steel truss bridge using infrared thermography (IRT). To reduce computation …
Bridge inspection: Human performance, unmanned aerial systems and automation
S Dorafshan, M Maguire - Journal of Civil Structural Health Monitoring, 2018 - Springer
Unmanned aerial systems (UASs) have become of considerable private and commercial
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …
Condition monitoring of bridges with non-contact testing technologies
The vast number of deteriorated bridge infrastructure highlights the importance of
implementing efficient and timely maintenance and rehabilitation strategies. Non-contact …
implementing efficient and timely maintenance and rehabilitation strategies. Non-contact …