A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends
Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition
Recent developments in sensing and monitoring techniques have led to the generation of
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method
Abstract Design of an automated and continuous framework is of paramount importance to
structural health monitoring (SHM). This study proposes an innovative multi-task …
structural health monitoring (SHM). This study proposes an innovative multi-task …
Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring
Sensors are now commonly employed for monitoring and controlling of engineering
systems. Despite significant advances in sensor technologies and their reliability, sensor …
systems. Despite significant advances in sensor technologies and their reliability, sensor …
[HTML][HTML] Development and experimental verification of an IoT sensing system for drive-by bridge health monitoring
Vehicles equipped with various types of sensors have the great potentials to effectively
evaluate the health conditions of a population of bridges at a low cost. However, existing …
evaluate the health conditions of a population of bridges at a low cost. However, existing …
Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
S Eftekhar Azam, A Rageh… - Structural Control and …, 2019 - Wiley Online Library
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty
Stringer-to-floor beam connections were reported as one of the most fatigue-prone details in
riveted steel railway bridges. To detect stiffness degradation that results from the initiation …
riveted steel railway bridges. To detect stiffness degradation that results from the initiation …
Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors
Bridges are critical components of highways ensuring traffic can efficiently travel over
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge
MH Daneshvar, A Gharighoran, SA Zareei… - Structure and …, 2021 - Taylor & Francis
Application of massive data to structural health monitoring (SHM) may lead to serious
problems such as difficulty, computational inefficiency, and low damage detectability. This …
problems such as difficulty, computational inefficiency, and low damage detectability. This …
Data-driven analytical load rating method of bridges using integrated bridge structural response and weigh-in-motion truck data
Load rating is a widely used approach for evaluating the load-carrying capacity of bridges in
an effort to ensure safe bridge operation under expected traffic loads. Load rating often …
an effort to ensure safe bridge operation under expected traffic loads. Load rating often …