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Bridge influence line identification from structural dynamic responses induced by a high‐speed vehicle

https://doi.org/10.1002/stc.2544
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/stc.1749openalex-snapshot
Bridge damage detection using ambient traffic and moving force identification
inferredcites →https://doi.org/10.1002/stc.1937openalex-snapshot
Vibration-based bridge scour detection: A review
inferredcites →https://doi.org/10.1002/stc.2242openalex-snapshot
Damage quantification of beam structures using deflection influence lines
inferredcites →https://doi.org/10.1002/stc.2355openalex-snapshot
Bridge influence line identification based on adaptive B‐spline basis dictionary and sparse regularization
inferredcites →https://doi.org/10.1002/stc.2515openalex-snapshot
Sliding life prediction of sliding bearings using dynamic monitoring data of bridges
inferredcites →https://doi.org/10.1002/stc.416openalex-snapshot
Piezo-based weigh-in-motion system for the railway transport
inferredcites →https://doi.org/10.1007/978-1-4612-6333-3openalex-snapshot
A Practical Guide to Splines
inferredcites →https://doi.org/10.1007/s00158-016-1637-5openalex-snapshot
Simultaneous identification of damage and input dynamic force on the structure for structural health monitoring
inferredcites →https://doi.org/10.1007/s11075-012-9612-8openalex-snapshot
Old and new parameter choice rules for discrete ill-posed problems
inferredcites →https://doi.org/10.1016/0021-9045(72)90080-9openalex-snapshot
On calculating with B-splines
inferredcites →https://doi.org/10.1016/j.compstruc.2017.04.014openalex-snapshot
Influence line extraction by deconvolution in the frequency domain
inferredcites →https://doi.org/10.1016/j.engstruct.2017.06.067openalex-snapshot
Extraction of influence line through a fitting method from bridge dynamic response induced by a passing vehicle
inferredcites →https://doi.org/10.1016/j.engstruct.2018.03.054openalex-snapshot
Improvement of the lateral dynamic response of a high pier viaduct under turbulent wind during the high-speed train travel
inferredcites →https://doi.org/10.1016/j.engstruct.2019.01.124openalex-snapshot
Damage diagnosis in bridge structures using rotation influence line: Validation on a cable-stayed bridge
inferredcites →https://doi.org/10.1016/j.engstruct.2019.109539openalex-snapshot
Development of bridge influence line identification methods based on direct measurement data: A comprehensive review and comparison
inferredcites →https://doi.org/10.1016/j.jsv.2013.01.024openalex-snapshot
An investigation into the acceleration response of a damaged beam-type structure to a moving force
inferredcites →https://doi.org/10.1016/j.ymssp.2018.02.036openalex-snapshot
Impairment localization and quantification using noisy static deformation influence lines and Iterative Multi-parameter Tikhonov Regularization
inferredcites →https://doi.org/10.1016/s0022-460x(03)00378-xopenalex-snapshot
Extracting bridge frequencies from the dynamic response of a passing vehicle
inferredcites →https://doi.org/10.1016/s0377-0427(99)00298-8openalex-snapshot
A regularizing Lanczos iteration method for underdetermined linear systems
inferredcites →https://doi.org/10.1061/(asce)as.1943-5525.0000935openalex-snapshot
In Situ Data Analysis for Condition Assessment of an Existing Prestressed Concrete Bridge
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0000288openalex-snapshot
Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0000681openalex-snapshot
Damage Detection in Long Suspension Bridges Using Stress Influence Lines
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001258openalex-snapshot
New Representative Temperature for Performance Alarming of Bridge Expansion Joints through Temperature-Displacement Relationship
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001281openalex-snapshot
Monitoring an In-Service Railway Bridge with a Distributed Fiber Optic Strain Sensing System
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000384openalex-snapshot
Bridge Influence Line Estimation for Bridge Weigh-in-Motion System
inferredcites →https://doi.org/10.1061/tpejan.0000783openalex-snapshot
Weigh-in-Motion System Using Instrumented Bridges
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
inferredcites →https://doi.org/10.1117/12.774478openalex-snapshot
A regularization scheme for displacement reconstruction using acceleration data measured from structures
inferredcites →https://doi.org/10.1137/1034115openalex-snapshot
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
inferredcites →https://doi.org/10.1139/cjce-2017-0508openalex-snapshot
Probabilistic bridge weigh-in-motion
inferredcites →https://doi.org/10.1177/1369433216630443openalex-snapshot
Identification of distributed damage in bridges from vehicle-induced dynamic responses
inferredcites →https://doi.org/10.12989/sss.2012.9.1.001openalex-snapshot
Influence line- model correction approach for the assessment of engineering structures using novel monitoring techniques
inferredcites →https://doi.org/10.1680/bren.2006.159.1.31openalex-snapshot
Calculating an influence line from direct measurements
inferredcites →https://doi.org/10.7763/ijet.2013.v5.643openalex-snapshot
Application of Influence Lines on Static Analysis of Cable-Stayed Bridges

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4693736openalex-extracted
Innovation of Rapid Diagnosis Method Based on Strain Influence Line for T-Beam Bridge Damage
inferred← citeshttps://doi.org/10.1002/stc.2769openalex-snapshot
Bridge influence surface identification method considering the spatial effect of vehicle load
inferred← citeshttps://doi.org/10.1002/stc.2968openalex-snapshot
Using vehicle–bridge contact spectra and residue to scan bridge's modal properties with vehicle frequencies and road roughness eliminated
inferred← citeshttps://doi.org/10.1002/stc.3080openalex-snapshot
A statistical influence line identification method using Bayesian regularization and a polynomial interpolating function
inferred← citeshttps://doi.org/10.1007/978-3-032-10649-0_41openalex-snapshot
Bridge Influence Line Calculation Based on Bernstein Polynomials
inferred← citeshttps://doi.org/10.1007/978-981-95-7595-4_9openalex-snapshot
Bridge Influence Line Identification with Vehicle-Induced Static Transmissibility Functions
inferred← citeshttps://doi.org/10.1007/s00366-021-01299-6openalex-snapshot
An efficient approach for damage identification based on improved machine learning using PSO-SVM
inferred← citeshttps://doi.org/10.1007/s13349-022-00564-6openalex-snapshot
Truss bridge anomaly detection using quasi-static rotation response
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103740openalex-snapshot
Automatic identification of dense damage-sensitive features in civil infrastructure using sparse sensor networks
inferred← citeshttps://doi.org/10.1016/j.cma.2024.116986openalex-snapshot
Convex model-based regularization method for force reconstruction
inferred← citeshttps://doi.org/10.1016/j.engstruct.2020.110625openalex-snapshot
A new probabilistic frequency-domain approach for influence line extraction from static transmissibility measurements under unknown moving loads
inferred← citeshttps://doi.org/10.1016/j.engstruct.2021.111931openalex-snapshot
Moving point load approximation from bridge response signals and its application to bridge Weigh-in-Motion
inferred← citeshttps://doi.org/10.1016/j.engstruct.2021.113353openalex-snapshot
A Bayesian algorithm with second order autoregressive errors for B-WIM weight estimation
inferred← citeshttps://doi.org/10.1016/j.engstruct.2021.113728openalex-snapshot
Assessment of optimal ground motion intensity measure for high-speed railway girder bridge (HRGB) based on spectral acceleration
inferred← citeshttps://doi.org/10.1016/j.engstruct.2022.114277openalex-snapshot
Flexibility matrix identification using the moving vehicle induced responses for beam type bridge
inferred← citeshttps://doi.org/10.1016/j.engstruct.2022.115268openalex-snapshot
Investigation on the pattern for train-induced strains of the long-span steel truss railway bridge
inferred← citeshttps://doi.org/10.1016/j.engstruct.2022.115573openalex-snapshot
Bridge monitoring: Application of the extreme function theory for damage detection on the I-40 case study
inferred← citeshttps://doi.org/10.1016/j.engstruct.2024.119561openalex-snapshot
Bridge influence line identification using an adaptive enhanced variational mode decomposition
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.120049openalex-snapshot
Bearing capacity evaluation for highway multi-beam bridges by impact testing influence surface identification and virtual loading
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.121364openalex-snapshot
Identification of bridge influence lines using an inspection vehicle under normal traffic
inferred← citeshttps://doi.org/10.1016/j.engstruct.2026.122704openalex-snapshot
Two-stage finite element model updating of hollow slab girder bridges using full-bridge influence line matrix and modal frequencies
inferred← citeshttps://doi.org/10.1016/j.engstruct.2026.123518openalex-snapshot
Statistical condition assessment of railway bridges based on influence lines from repeated train passages
inferred← citeshttps://doi.org/10.1016/j.istruc.2022.06.022openalex-snapshot
On damage detection of beam structures using multiple types of influence lines
inferred← citeshttps://doi.org/10.1016/j.istruc.2024.107069openalex-snapshot
Influence zones of continuous beam systems
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.109378openalex-snapshot
A new iteration regularization method for stochastic excitation under multi-source uncertainties
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.110582openalex-snapshot
Impact testing-based influence surface identification: A novel methodology for deflection prediction in highway prefabricated bridges
inferred← citeshttps://doi.org/10.1016/j.istruc.2026.112030openalex-snapshot
Bridge influence line inversion using SVMD–IWTD denoising combined with regularized multi-segment polynomial fitting
inferred← citeshttps://doi.org/10.1016/j.jsv.2022.117046openalex-snapshot
Moving force identification of simply supported bridges through the integral time domain method
inferred← citeshttps://doi.org/10.1016/j.jsv.2023.117605openalex-snapshot
A novel extraction method for the actual influence line of bridge structures
inferred← citeshttps://doi.org/10.1016/j.jsv.2024.118719openalex-snapshot
Probabilistic regularization load reconstruction method based on iterative strategy
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.109807openalex-snapshot
Bridge influence line identification based on big data and interval analysis with affine arithmetic
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111172openalex-snapshot
Damage localization for prefabricated bridges group using the area-ratio of the strain time-history curve
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111883openalex-snapshot
Influence line estimation of bridge based on Elastic Net and vehicle-induced response
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112599openalex-snapshot
Structural damage detection of the bridge under moving loads with the quasi-static displacement influence line from one sensor
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.119035openalex-snapshot
Bridge influence line identification by load-response spatiotemporal synchronization and kernel density estimation-based statistical analysis under long-term monitoring
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.119083openalex-snapshot
Bayesian sequential multi-measurement updating for interference-resistant bridge influence line identification
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.107774openalex-snapshot
A novel uncertainty-oriented regularization method for load identification
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109907openalex-snapshot
Integrating flexibility-based curvature with quasi-static features induced by traffic loads for high-resolution damage localization in bridges
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110390openalex-snapshot
Curvature envelope area based rapid identification method of bridge distributional element stiffness using microwave interference radar
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110518openalex-snapshot
Damage identification method for tied arch bridge suspender based on quasi-static displacement influence line
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111622openalex-snapshot
A novel bridge influence line identification approach based on nonlinear frequency modulation signal reconstruction
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.112196openalex-snapshot
FT-SMNet: Fourier transform sparse matrix network for structural health monitoring time series data forecasting
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112883openalex-snapshot
On the normalisation and mapping of influence lines
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.113881openalex-snapshot
Damage localization in bridges using curvature profiles identified from acceleration data via continuous wavelet transform
inferred← citeshttps://doi.org/10.1038/s41598-025-07233-wopenalex-snapshot
Research on damage identification in T-beam bridges based on strain influence lines
inferred← citeshttps://doi.org/10.1061/(asce)be.1943-5592.0001838openalex-snapshot
Rapid Evaluation of Load-Carrying Capacity of Long-Span Bridges Using Limited Testing Vehicles
inferred← citeshttps://doi.org/10.1061/(asce)be.1943-5592.0001839openalex-snapshot
Model Updating Using Bridge Influence Lines Based on an Adaptive Metamodel Global Optimization Method
inferred← citeshttps://doi.org/10.1061/(asce)em.1943-7889.0001942openalex-snapshot
Stiffness Estimation of Girder Bridges Using Influence Lines Identified from Vehicle-Induced Structural Responses
inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-1247openalex-snapshot
Operational Influence Line Identification of High-Speed Railway Bridge Considering Uncertainty of Train Load
inferred← citeshttps://doi.org/10.1061/jbenf2.beeng-5604openalex-snapshot
Genuine Influence Line and Influence Surface Identification from Measured Bridge Response Considering Vehicular Wheel Loads
inferred← citeshttps://doi.org/10.1061/jbenf2.beeng-5891openalex-snapshot
Bridge Damage Identification Using Rotation Measurement
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Experimental Study of Influence Line–Based Damage Localization for Long-Span Cable Suspension Bridges
inferred← citeshttps://doi.org/10.1061/jbenf2.beeng-6148openalex-snapshot
A Multiscale Modeling and Updating Framework for Suspension Bridges Based on Modal Frequencies and Influence Lines
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Identification of Influence Lines for Highway Bridges Using Bayesian Parametric Estimation Based on Computer Vision Measurements
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Unsupervised Stiffness Evaluation of High-Speed Railway Bridges Using Periodic Monitoring Data
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Automated Girder Rotation Assessment of High-Speed Railway Bridges for Operation Safety
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Fatigue life prediction for high-speed railway bridges by reconstructing monitoring-based dynamic stress
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Finite Element Model Updating for Identifying Structural Stiffness in Bridge Structures via Computer Vision and Deep Learning
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A Stochastic Traffic-Bridge Coupling Vibration Analysis for Cross-Sea Bridges Using MCMC-Based Traffic Flow Simulation
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Bridge damage identification based on synchronous statistical moment theory of vehicle–bridge interaction
inferred← citeshttps://doi.org/10.1111/mice.70008openalex-snapshot
Computer vision wireless sensors for displacement influence line/surface measurement of footbridges using stationary pedestrian loading
inferred← citeshttps://doi.org/10.1142/s0219455423400266openalex-snapshot
Bridge Evaluation Based on Identified Influence Lines and Influence Surfaces: Multiple-Scenario Application
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Bridge Static Influence Line Identification Based on Structural Dynamic Responses Under High-Speed Trains
inferred← citeshttps://doi.org/10.1142/s0219455424502158openalex-snapshot
Influence Line Identification Method Based on VMD Combined with Improved Wavelet Threshold Denoising
inferred← citeshttps://doi.org/10.1142/s0219455426501841openalex-snapshot
Damage Identification of Multi-Girder Steel-Concrete Composite Girder Bridges with Distributed Long-Gauge FBG Sensors Under Moving Load
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Active Vibration Isolation Platforms for Wafer Front Opening Unified Pod Transporting Carts Under Raised Floor Irregularities in Industrial Factories
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Effect of Cracks on the Influence Lines of a Smart Concrete Girder Bridge Based on the Element Size–Independent FE Model
inferred← citeshttps://doi.org/10.1177/13694332251363355openalex-snapshot
Deflection influence line identification under moving vehicle based on variational modal decomposition and B-spline basis function
inferred← citeshttps://doi.org/10.1177/14759217231153678openalex-snapshot
Optical frequency domain reflectometry sensing for damage detection in long-span bridges using influence surface
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Application of bridge weigh-in-motion system in bridge health monitoring: a state-of-the-art review
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Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks
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A comprehensive review of bridge influence lines: from identifications to applications in bridge health monitoring
inferred← citeshttps://doi.org/10.1201/9781003595120-145openalex-snapshot
Rapid influence line identification for bridges using dynamic responses induced by two passages of a two-axle vehicle
inferred← citeshttps://doi.org/10.2139/ssrn.5072692openalex-snapshot
An Inverse Bayesian Network Framework for Uncertainty Quantification in Bridge Influence Line Identification
inferred← citeshttps://doi.org/10.3390/app151810023openalex-snapshot
High-Precision Visual Monitoring Method for Bridge Displacement Based on Computer Vision and Its Engineering Application
inferred← citeshttps://doi.org/10.3390/buildings14113537openalex-snapshot
Computer-Vision-Aided Deflection Influences Line Identification of Concrete Bridge Enhanced by Edge Detection and Time-Domain Forward Inference
inferred← citeshttps://doi.org/10.3390/buildings15101595openalex-snapshot
Research on the Rapid Testing Method of Influence Lines for Beam Bridges and Its Engineering Applications
inferred← citeshttps://doi.org/10.3390/s22083100openalex-snapshot
A Transformer-Based Bridge Structural Response Prediction Framework
inferred← citeshttps://doi.org/10.3390/s22093247openalex-snapshot
Representation of In-Service Performance for Cable-Stayed Railway–Highway Combined Bridges Based on Train-Induced Response’s Sensing Data and Knowledge
inferred← citeshttps://doi.org/10.7250/bjrbe.2021-16.547openalex-snapshot
Eliminating the Influence of Axle Parameters in Influence Line Identification
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