专题:Structural Health Monitoring Techniques

This cluster of papers covers advancements in structural health monitoring techniques, including vibration-based damage identification, wireless sensor networks, modal identification, structural damage detection, model updating, Bayesian system identification, deep learning applications, sensor networks, environmental effects, and nonlinear dynamics.
最新文献
Seismic damage states prediction of in-service bridges using feature-enhanced swin transformer without reliance on damage indicators

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Scale effects on buffeting response of long-span bridges

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Seismic performance prediction and interpretation of RC bridges under vehicle-bridge interaction: From VBI system simulation to ensemble learning surrogate models

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Hierarchical generalized extended parameter identification for multivariable equation-error ARMA-like systems by using the filtering identification idea

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Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes

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Auxiliary Model Maximum Likelihood Moving‐Data‐Window Generalized Extended Gradient‐Based Iterative Algorithm for Multivariable Autoregressive Output‐Error Autoregressive Moving‐Average Systems

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Machine learning in earthquake engineering: A review on recent progress and future trends in seismic performance evaluation and design

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Multi-target prediction and dynamic interpretation method for displacement of arch dam with cracks based on A-DSRSN and SHAP

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A linear planar magnetic spring for 2-DOF vibration isolation

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A Vision Transformer-based method for predicting seismic damage states of RC piers: Database development and efficient assessment

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近5年高被引文献
A Model-Driven Scheme to Compensate the Strain-Based Non-Intrusive Dynamic Pressure Measurement for Hydraulic Pipe

article Full Text OpenAlex 566 FWCI57.623

Machine learning for structural engineering: A state-of-the-art review

review Full Text OpenAlex 457 FWCI15.807

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

article Full Text OpenAlex 438 FWCI41.306

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

article Full Text OpenAlex 378 FWCI35.893

Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning

article Full Text OpenAlex 358 FWCI28.249

Structural health monitoring of civil engineering structures by using the internet of things: A review

review Full Text OpenAlex 354 FWCI12.1

Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

article Full Text OpenAlex 344 FWCI33.939

Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls

article Full Text OpenAlex 328 FWCI29.544

Nudged Elastic Band Method for Molecular Reactions Using Energy-Weighted Springs Combined with Eigenvector Following

article Full Text OpenAlex 293 FWCI26.492

A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

review Full Text OpenAlex 291 FWCI5.347