Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
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 …
The current development of structural health monitoring for bridges: a review
Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …
the bridge and has always been a research hotspot in the field of civil engineering. This …
Big data analytics and structural health monitoring: a statistical pattern recognition-based approach
Recent advances in sensor technologies and data acquisition systems opened up the era of
big data in the field of structural health monitoring (SHM). Data-driven methods based on …
big data in the field of structural health monitoring (SHM). Data-driven methods based on …
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection
Time series analysis and novelty detection are effective and promising methods for data-
driven structural health monitoring (SHM) based on the statistical pattern recognition …
driven structural health monitoring (SHM) based on the statistical pattern recognition …
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 …
Damage identification in steel girder bridges using modal strain energy-based damage index method and artificial neural network
H Nick, A Aziminejad, MH Hosseini… - Engineering Failure …, 2021 - Elsevier
Health monitoring of infrastructures is of utmost significance, as they play a vital role in
transportation. Identifying damages at the onset is essential to ensure the structure's health …
transportation. Identifying damages at the onset is essential to ensure the structure's health …
Damage identification in steel frames using dual-criteria vibration-based damage detection method and artificial neural network
H Nick, A Ashrafpoor, A Aziminejad - Structures, 2023 - Elsevier
Vibration-based damage identification methods have proven to be effective in identifying
damage in various structures by employing modal parameters. This paper presents and …
damage in various structures by employing modal parameters. This paper presents and …
A novel damage identification method based on short time Fourier transform and a new efficient index
Structural failure can be corrected and restored with the preliminary review of the status of
the structures, and thus prevent the spread of corruption and collapse of structures. Among …
the structures, and thus prevent the spread of corruption and collapse of structures. Among …
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Structural damage assessment is a challenging problem of study due to lack of information
in data measurement and the difficulty of extracting noisy features from the structural …
in data measurement and the difficulty of extracting noisy features from the structural …