[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
A critical review on structural health monitoring: Definitions, methods, and perspectives
VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …
have endless applications for saving cost, time and improving safety. To date, structural …
Fatigue modeling using neural networks: A comprehensive review
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …
communities and are expected to increase rapidly due to the recent advancements in …
Modelling and forecasting of SHM strain measurement for a large-scale suspension bridge during typhoon events using variational heteroscedastic Gaussian process
The modelling and forecasting (M&F) of strain measurement (as a kind of local structural
responses) during typhoon events provides valuable insight into the structural condition …
responses) during typhoon events provides valuable insight into the structural condition …
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 …
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 …
[PDF][PDF] Structural damage detection based on MAC flexibility and frequency using moth-flame algorithm
P Ghannadi, SS Kourehli - Struct. Eng. Mech, 2019 - researchgate.net
Vibration-based structural damage detection through optimization algorithms and
minimization of objective function has recently become an interesting research topic …
minimization of objective function has recently become an interesting research topic …
Unsupervised machine learning for robust bridge damage detection: full-scale experimental validation
This study focused on the development of damage detection indices using unsupervised
Machine Learning with data obtained from tests of a full-scale bridge deck mock-up …
Machine Learning with data obtained from tests of a full-scale bridge deck mock-up …
Evaluation of fatigue damage in steel girder bridges using displacement influence lines
S Mustafa, H Sekiya, S Hirano - Structures, 2023 - Elsevier
This paper presents a systematic method for the evaluation of fatigue damage in an existing
girder bridge, utilizing the response induced by a moving vehicle. At first, a detailed and …
girder bridge, utilizing the response induced by a moving vehicle. At first, a detailed and …
Fatigue crack detection in welded structural components of steel bridges using artificial neural network
M Mashayekhi, E Santini-Bell… - Journal of Civil Structural …, 2021 - Springer
Under the cyclic traffic loads, welded structural components of steel bridges may encounter
fatigue, which can cause a shorter service life and lead to fracture. A precise fatigue life …
fatigue, which can cause a shorter service life and lead to fracture. A precise fatigue life …