Artificial intelligence in structural health management of existing bridges
VM Di Mucci, A Cardellicchio, S Ruggieri… - Automation in …, 2024 - Elsevier
The paper presents a systematic review about the use of artificial intelligence (AI) in the field
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
Intelligent bridge management via big data knowledge engineering
J Yang, F Xiang, R Li, L Zhang, X Yang, S Jiang… - Automation in …, 2022 - Elsevier
Fully combining the emerging intelligent technologies, such as big data and artificial
intelligence, to realize the effective data fusion of bridge management with multi-source …
intelligence, to realize the effective data fusion of bridge management with multi-source …
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network
The milage of asphalt pavement growth explosively around the world in the past decades
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …
Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …
A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network
Structural health monitoring (SHM) has become a notable method to ensure structural
safety, yet the ability of existing damage detection techniques need improvements on …
safety, yet the ability of existing damage detection techniques need improvements on …
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
J Lan, X Liu, B Li, Y Li, T Geng - Computers & Security, 2022 - Elsevier
Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …
defensing cyber crimes. Although notable research efforts have been dedicated to …
Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis
In recent years, the application of Deep Learning (DL) for damage detection in Structural
Health Monitoring (SHM) using time-series data has garnered significant attention from the …
Health Monitoring (SHM) using time-series data has garnered significant attention from the …
[HTML][HTML] Deep neural network and evolved optimization algorithm for damage assessment in a truss bridge
In Structural Health Monitoring (SHM) of bridges, accurately assessing damage is critical to
maintaining the safety and integrity of a structure. One of the primary challenges in damage …
maintaining the safety and integrity of a structure. One of the primary challenges in damage …
Predicting bridge longitudinal displacement from monitored operational loads with hierarchical CNN for condition assessment
Over the past few years, longitudinal displacement has gained popularity as a means of
evaluating the condition of long-span cable-supported bridge components, such as …
evaluating the condition of long-span cable-supported bridge components, such as …
A data-driven structural damage detection framework based on parallel convolutional neural network and bidirectional gated recurrent unit
J Yang, F Yang, Y Zhou, D Wang, R Li, G Wang… - Information …, 2021 - Elsevier
With the extensive use of structural health monitoring technologies, vibration-based
structural damage detection becomes a crucial task in both academic and industrial …
structural damage detection becomes a crucial task in both academic and industrial …