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 …
Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review
The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
A review on structural health monitoring: past to present
The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …
academia and industry, particularly in the realm of damage detection. This approach allows …
[HTML][HTML] Vehicle assisted bridge damage assessment using probabilistic deep learning
Vehicle assisted monitoring has shown promising potential for the condition assessment of
existing bridges in a road network, by removing practical complications faced in traditional …
existing bridges in a road network, by removing practical complications faced in traditional …
[HTML][HTML] Intensity and location of corrosion on the reliability of a steel bridge
Visual inspections generally represent the initial step of the safety assessment of bridges. In
particular, steel railway bridges are particularly prone to corrosion phenomena. Therefore …
particular, steel railway bridges are particularly prone to corrosion phenomena. Therefore …
Vibration-based building health monitoring using spatio-temporal learning model
Vibration-based building health monitoring is a promising and feasible approach to assess
the operational state of building structures in a remote, automated, and continuous fashion; …
the operational state of building structures in a remote, automated, and continuous fashion; …
Co-Kriging strategy for structural health monitoring of bridges
HC Novais, S da Silva… - Structural Health …, 2024 - journals.sagepub.com
Computational models are crucial in applied science and engineering, offering valuable
insights on the behavior of strutures and mechanical systems. However, their effectiveness …
insights on the behavior of strutures and mechanical systems. However, their effectiveness …
Hybrid modal-machine learning damage identification approach for beam-like structures
Data-driven damage detection methods are widely researched and implemented due to the
availability of advanced sensing and cloud technologies, where machine learning models …
availability of advanced sensing and cloud technologies, where machine learning models …
A two-step approach for damage identification in bridge structure using convolutional Long Short-Term Memory with augmented time-series data
L Nguyen-Ngoc, H Tran-Ngoc, T Le-Xuan… - … in Engineering Software, 2024 - Elsevier
This paper presents a novel two-step approach to identifying structural damages in bridge
structure through the integration of 1D Convolutional Neural Network (1DCNN) and Long …
structure through the integration of 1D Convolutional Neural Network (1DCNN) and Long …
Structural novelty detection with Laplace asymptotic expansion of the Bhattacharyya distance of transmissibility and Bayesian resampling scheme
As an output-to-output dynamical representation of engineering structures, the
transmissibility function (TF) has been widely reported to be a damage-sensitive but …
transmissibility function (TF) has been widely reported to be a damage-sensitive but …