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Multi-Branch Cnn Super-Resolution and Fourier Neural Operator for High-Resolution Damage Identification
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A Bayesian probabilistic approach for structure damage detection
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Damage detection of truss bridge elements using an enhanced pseudo-local flexibility method
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Use of neural networks in detection of structural damage
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Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network
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Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge
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Structural damage identification based on autoencoder neural networks and deep learning
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Physics-guided deep learning based on modal sensitivity for structural damage identification with unseen damage patterns
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Nonlinear finite element model updating and fourier neural operator for digital twin of reinforced concrete containment vessel under seismic excitations
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Damage detection under ambient vibration by harmony search algorithm
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Damage identification technique based on mode shape analysis of beam structures
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Fault diagnosis on beam-like structures from modal parameters using artificial neural networks
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Damage detection in girder bridges using modal curvatures gapped smoothing method and Convolutional Neural Network: Application to Bo Nghi bridge
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Damage detection using the eigenparameter decomposition of substructural flexibility matrix
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A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
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Structural Damage Detection Using Artificial Neural Networks
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A branched Fourier neural operator for efficient calculation of vehicle–track spatially coupled dynamics
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Vibration-based Damage Identification Methods: A Review and Comparative Study
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Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies
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Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges
inferredcites →https://doi.org/10.1177/1475921720959226openalex-snapshot
Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks
inferredcites →https://doi.org/10.1260/1369-4332.13.1.95openalex-snapshot
Structure Damage Detection Using Neural Network with Multi-Stage Substructuring
inferredcites →https://doi.org/10.3390/app10124247openalex-snapshot
Structural Damage Features Extracted by Convolutional Neural Networks from Mode Shapes
inferredcites →https://doi.org/10.48550/arxiv.2210.00222openalex-snapshot
Solving Coupled Differential Equation Groups Using PINO-CDE
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Drive-by bridge damage detection by vehicle-bridge interaction neural operator
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