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 …
A systematic review of optimization algorithms for structural health monitoring and optimal sensor placement
S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …
ensuring the sustainability and serviceability of large and complex structures. To design an …
Interpretable machine learning methods for clarification of load-displacement effects on cable-stayed bridge
Cable-stayed bridges play a crucial role in various transportation systems, facilitating the
movement of pedestrians, automobiles, and trains. Accurately estimating structural …
movement of pedestrians, automobiles, and trains. Accurately estimating structural …
[HTML][HTML] A robust bridge rivet identification method using deep learning and computer vision
Timely and effective inspection ensures safe operation and optimum resource use for
infrastructure maintenance and renewal. Robot advances allow rapid collection of …
infrastructure maintenance and renewal. Robot advances allow rapid collection of …
Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle
In recent years, bridge collapses and fractures have occurred in various countries mostly
following a lack of inspection and maintenance. External inspection processes can be very …
following a lack of inspection and maintenance. External inspection processes can be very …
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 …
Damage classification of in-service steel railway bridges using a novel vibration-based convolutional neural network
A Ghiasi, MK Moghaddam, CT Ng, AH Sheikh… - Engineering …, 2022 - Elsevier
Railway bridges exposed to extreme environmental conditions can gradually lose their
effective cross-section at critical locations and cause catastrophic failure. This paper has …
effective cross-section at critical locations and cause catastrophic failure. This paper has …
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural …
In this paper, a new method has been proposed to optimize the hyper parameters in Deep
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
Distance-based anomaly detectors are among the most efficient unsupervised learning
methods due to their non-parametric properties, inexpensive computational requirements …
methods due to their non-parametric properties, inexpensive computational requirements …
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function
Transmissibility function (TF) is widely applied in damage detection due to its sensitivity to
damage and robustness to external excitations, but its application in online damage …
damage and robustness to external excitations, but its application in online damage …