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 …

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 …

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 …

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 …

This paper provides a comprehensive review on the use of infrared thermography to detect
delamination on infrastructures and buildings. Approximately 200 pieces of relevant …

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 …

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 …

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 …

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 …

The vast number of deteriorated bridge infrastructure highlights the importance of
implementing efficient and timely maintenance and rehabilitation strategies. Non-contact …