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https://doi.org/10.2139/ssrn.4511701

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inferredcites →https://doi.org/10.1002/stc.2618openalex-extracted
Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges
inferredcites →https://doi.org/10.1007/s13349-022-00635-8openalex-extracted
Digital modeling approach of distributional mapping from structural temperature field to temperature-induced strain field for bridges
inferredcites →https://doi.org/10.1016/j.conbuildmat.2021.124230openalex-extracted
Ensemble learning based approach for FRP-concrete bond strength prediction
inferredcites →https://doi.org/10.1016/j.engstruct.2018.05.084openalex-extracted
Emerging artificial intelligence methods in structural engineering
inferredcites →https://doi.org/10.1016/j.engstruct.2020.111551openalex-extracted
A damage identification method for connections of adjacent box-beam bridges using vehicle–bridge interaction analysis and model updating
inferredcites →https://doi.org/10.1016/j.engstruct.2021.111979openalex-extracted
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
inferredcites →https://doi.org/10.1016/j.engstruct.2021.113166openalex-extracted
Reliability-based vehicle weight limit determination for urban bridge network subjected to stochastic traffic flow considering vehicle-bridge coupling
inferredcites →https://doi.org/10.1016/j.istruc.2022.11.094openalex-extracted
Real-time drive-by bridge damage detection using deep auto-encoder
inferredcites →https://doi.org/10.1016/j.istruc.2023.01.023openalex-extracted
Research on monitoring index of transverse cooperative working performance of assembled multi-girder bridges based on displacement spectrum similarity measure
inferredcites →https://doi.org/10.1016/j.measurement.2019.107360openalex-extracted
Comprehensive measurement techniques and multi-index correlative evaluation approach for structural health monitoring of highway bridges
inferredcites →https://doi.org/10.1016/j.measurement.2020.107811openalex-extracted
Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder
inferredcites →https://doi.org/10.1016/j.measurement.2023.112832openalex-extracted
Automatic detection and measurement of ground crack propagation using deep learning networks and an image processing technique
inferredcites →https://doi.org/10.1016/j.ymssp.2019.03.022openalex-extracted
Damage detection of highway bridges based on long-gauge strain response under stochastic traffic flow
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001542openalex-extracted
Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors
inferredcites →https://doi.org/10.1088/1361-665x/ab79b3openalex-extracted
Anomaly detection for large span bridges during operational phase using structural health monitoring data
inferredcites →https://doi.org/10.1111/mice.12501openalex-extracted
Image-based crack assessment of bridge piers using unmanned aerial vehicles and three-dimensional scene reconstruction
inferredcites →https://doi.org/10.1111/mice.12519openalex-extracted
Real-time crack assessment using deep neural networks with wall-climbing unmanned aerial system
inferredcites →https://doi.org/10.1111/mice.12528openalex-extracted
Deep learning for data anomaly detection and data compression of a long-span suspension bridge
inferredcites →https://doi.org/10.1111/mice.12746openalex-extracted
Automatic generation of fine‐grained traffic load spectrum via fusion of weigh‐in‐motion and vehicle spatial–temporal information
inferredcites →https://doi.org/10.1111/mice.12817openalex-extracted
Multifidelity approach for data‐driven prediction models of structural behaviors with limited data
inferredcites →https://doi.org/10.1111/mice.12850openalex-extracted
Lost data neural semantic recovery framework for structural health monitoring based on deep learning
inferredcites →https://doi.org/10.1155/2020/9283949openalex-extracted
An Efficient Damage Identification Method for Simply Supported Beams Based on Strain Energy Information Entropy
inferredcites →https://doi.org/10.1177/1369433218804924openalex-extracted
Evaluation of lateral cooperative working performance of assembled beam bridge based on the index of strain correlation coefficient
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