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State-of-the-art review on Bayesian inference in structural system identification and damage assessment

https://doi.org/10.1177/1369433218811540
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Bayesian probabilistic approach for structure damage detection
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Tangential‐projection algorithm for manifold representation in unidentifiable model updating problems
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Efficient model updating and health monitoring methodology using incomplete modal data without mode matching
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Probabilistic identification of simulated damage on the Dowling Hall footbridge through Bayesian finite element model updating
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Structural damage detection based on l 1 regularization using natural frequencies and mode shapes
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Bayesian neural networks for bridge integrity assessment
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Bayesian system identification based on probability logic
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Structural damage detection and assessment by adaptive Markov chain Monte Carlo simulation
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Bayesian Learning for Neural Networks
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Monte Carlo Statistical Methods
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Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
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Bayesian Inductive Inference and Maximum Entropy
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Updating of a Model and its Uncertainties Utilizing Dynamic Test Data
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Papers on probability, statistics and statistical physics
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A tutorial on adaptive MCMC
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Approximate Bayesian computational methods
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Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment
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The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm
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Guided wave damage characterisation in beams utilising probabilistic optimisation
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The Bayesian methodology for the detection of railway ballast damage under a concrete sleeper
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A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability
inferredcites →https://doi.org/10.1016/j.engstruct.2016.10.033openalex-snapshot
Probabilistic damage identification of a designed 9-story building using modal data in the presence of modeling errors
inferredcites →https://doi.org/10.1016/j.engstruct.2016.11.035openalex-snapshot
Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique
inferredcites →https://doi.org/10.1016/j.ijnonlinmec.2017.03.012openalex-snapshot
Bayesian System Identification using auxiliary stochastic dynamical systems
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A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites
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Selection of regularization parameter for l1-regularized damage detection
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A Bayesian approach for sparse flaw detection from noisy signals for ultrasonic NDT
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Bayesian state and parameter estimation of uncertain dynamical systems
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Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
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System identification in structural engineering
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Recent developments of Bayesian model class selection and applications in civil engineering
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A novel Bayesian approach for structural model updating utilizing statistical modal information from multiple setups
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A Bayesian model framework for calibrating ultrasonic in-line inspection data and estimating actual external corrosion depth in buried pipeline utilizing a clustering technique
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Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application
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Online updating and uncertainty quantification using nonstationary output-only measurement
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Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models
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Guided wave-based identification of multiple cracks in beams using a Bayesian approach
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A multilevel Bayesian method for ultrasound-based damage identification in composite laminates
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Operational modal identification using variational Bayes
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Bayesian nonlinear structural FE model and seismic input identification for damage assessment of civil structures
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Probability Theory
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Generalized Trajectory Methods for Finding Multiple Extrema and Roots of Functions
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Structural-System Identification. I: Theory
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Updating Models and Their Uncertainties. I: Bayesian Statistical Framework
inferredcites →https://doi.org/10.1061/(asce)0733-9399(1998)124:4(463)openalex-snapshot
Updating Models and Their Uncertainties. II: Model Identifiability
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2000)126:7(738)openalex-snapshot
Bayesian Probabilistic Approach to Structural Health Monitoring
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2002)128:4(380)openalex-snapshot
Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2004)130:10(1233)openalex-snapshot
Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2004)130:2(192)openalex-snapshot
Model Selection Using Response Measurements: Bayesian Probabilistic Approach
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2007)133:7(816)openalex-snapshot
Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging
inferredcites →https://doi.org/10.1061/(asce)0733-9399(2009)135:4(243)openalex-snapshot
Bayesian Model Updating Using Hybrid Monte Carlo Simulation with Application to Structural Dynamic Models with Many Uncertain Parameters
inferredcites →https://doi.org/10.1061/(asce)em.1943-7889.0000351openalex-snapshot
Evidence-Based Identification of Weighting Factors in Bayesian Model Updating Using Modal Data
inferredcites →https://doi.org/10.1061/(asce)em.1943-7889.0000839openalex-snapshot
Bayesian Updating with Structural Reliability Methods
inferredcites →https://doi.org/10.1080/15732479.2014.951867openalex-snapshot
Structural health monitoring of a cable-stayed bridge with Bayesian neural networks
inferredcites →https://doi.org/10.1088/0964-1726/16/2/014openalex-snapshot
Guided-wave signal processing using chirplet matching pursuits and mode correlation for structural health monitoring
inferredcites →https://doi.org/10.1088/0964-1726/22/3/035012openalex-snapshot
A Bayesian approach for damage localization in plate-like structures using Lamb waves
inferredcites →https://doi.org/10.1088/1361-665x/aac248openalex-snapshot
Fractal dimension based damage identification incorporating multi-task sparse Bayesian learning
inferredcites →https://doi.org/10.1088/1361-665x/aae9b4openalex-snapshot
Diagnosis and accuracy enhancement of compressive-sensing signal reconstruction in structural health monitoring using multi-task sparse Bayesian learning
inferredcites →https://doi.org/10.1093/biomet/57.1.97openalex-snapshot
Monte Carlo sampling methods using Markov chains and their applications
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
Information Theory and Statistical Mechanics
inferredcites →https://doi.org/10.1109/cdc.2011.6160563openalex-snapshot
System identification based on variational Bayes method and the invariance under coordinate transformations
inferredcites →https://doi.org/10.1109/tit.2005.862083openalex-snapshot
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
inferredcites →https://doi.org/10.1109/tit.2007.909108openalex-snapshot
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
inferredcites →https://doi.org/10.1109/tsp.2004.831016openalex-snapshot
Sparse Bayesian Learning for Basis Selection
inferredcites →https://doi.org/10.1109/tuffc.2006.1610568openalex-snapshot
Waveguide damage detection by the matching pursuit approach employing the dispersion-based chirp functions
inferredcites →https://doi.org/10.1111/0885-9507.00209openalex-snapshot
Monitoring Structural Health Using a Probabilistic Measure
inferredcites →https://doi.org/10.1111/j.1467-8667.2006.00431.xopenalex-snapshot
Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks
inferredcites →https://doi.org/10.1111/j.1467-8667.2006.00432.xopenalex-snapshot
Structural Model Updating and Health Monitoring with Incomplete Modal Data Using Gibbs Sampler
inferredcites →https://doi.org/10.1111/mice.12051openalex-snapshot
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
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Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination
inferredcites →https://doi.org/10.1111/mice.12408openalex-snapshot
Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring
inferredcites →https://doi.org/10.1115/1.1849240openalex-snapshot
Structural Damage Classification Using Extreme Value Statistics
inferredcites →https://doi.org/10.1119/1.1990764openalex-snapshot
Probability, Frequency and Reasonable Expectation
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Signal denoising and ultrasonic flaw detection via overcomplete and sparse representations
inferredcites →https://doi.org/10.1137/130932831openalex-snapshot
Approximate Bayesian Computation by Subset Simulation
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Atomic Decomposition by Basis Pursuit
inferredcites →https://doi.org/10.1142/s0219455412500526openalex-snapshot
DATA FUSION-BASED STRUCTURAL DAMAGE DETECTION UNDER VARYING TEMPERATURE CONDITIONS
inferredcites →https://doi.org/10.1177/1077546307079400openalex-snapshot
Bayesian Updating and Model Class Selection for Hysteretic Structural Models Using Stochastic Simulation
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New Bayesian Model Updating Algorithm Applied to a Structural Health Monitoring Benchmark
inferredcites →https://doi.org/10.1177/1475921715604386openalex-snapshot
L 1 regularization approach to structural damage detection using frequency data
inferredcites →https://doi.org/10.1177/1475921716665252openalex-snapshot
Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model
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Sparse recovery of multiple dispersive guided-wave modes for defect localization using a Bayesian approach
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Pattern Recognition and Machine Learning
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ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE
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HIERARCHICAL SPARSE BAYESIAN LEARNING FOR STRUCUTRAL HEALTH MONITORING WITH INCOMPLETE MODAL DATA
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Probability, Statistics and Truth.
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An Adaptive Metropolis Algorithm
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Algebra of Probable Inference
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Analysis of Sparse Bayesian Learning
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Bayesian methods for adaptive models

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

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Time-domain sparse Bayesian learning with PSO algorithm for CA mortar void detection of slab track system
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Probabilistic assessment of the modal response of monumental structures considering soil deformability and material uncertainty: The Leaning Tower and Baptistery of Pisa (Italy)
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.121264openalex-snapshot
Bayesian-based method for structural damage identification using the improved snow ablation optimizer and hybrid multi-sample objective function
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.121486openalex-snapshot
Robust post-earthquake structural safety evaluation from limited acceleration measurements using sparse Bayesian broad learning with dimensionally reduced damage-sensitive features
inferred← citeshttps://doi.org/10.1016/j.engstruct.2026.122687openalex-snapshot
Sequential broad learning system modeling framework for finite element model updating using incomplete modal data
inferred← citeshttps://doi.org/10.1016/j.finmec.2026.100357openalex-snapshot
An improved Bayesian model updating framework using an enriched spring-based finite element model for structural health monitoring
inferred← citeshttps://doi.org/10.1016/j.iintel.2024.100087openalex-snapshot
Few-shot classification for sensor anomalies with limited samples
inferred← citeshttps://doi.org/10.1016/j.ijfatigue.2021.106686openalex-snapshot
Probabilistic method for fatigue crack growth prediction with hybrid prior
inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2025.110194openalex-snapshot
Autonomous vibration control of beams utilizing intelligent excitation adaptability
inferred← citeshttps://doi.org/10.1016/j.ijnonlinmec.2026.105404openalex-snapshot
Bayesian nonlinear finite element model updating of a full-scale reinforced-concrete bridge column under low-to-moderate seismic excitation
inferred← citeshttps://doi.org/10.1016/j.istruc.2020.11.056openalex-snapshot
Application of convolutional neural network in random structural damage identification
inferred← citeshttps://doi.org/10.1016/j.istruc.2022.05.041openalex-snapshot
Review of finite element model updating methods for structural applications
inferred← citeshttps://doi.org/10.1016/j.istruc.2022.08.066openalex-snapshot
A probabilistic model for fatigue crack growth prediction based on closed-form solution
inferred← citeshttps://doi.org/10.1016/j.istruc.2023.05.020openalex-snapshot
Deterministic and probabilistic-based model updating of aging steel bridges
inferred← citeshttps://doi.org/10.1016/j.istruc.2023.105247openalex-snapshot
Enhanced semi-automated Bayesian modal identification approach for Ultra-high voltage transmission towers
inferred← citeshttps://doi.org/10.1016/j.istruc.2024.108098openalex-snapshot
Application of Bayesian networks in reliability assessment: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.istruc.2026.112387openalex-snapshot
Advances in composite repair strategies for structural damage in aging steel infrastructure: A review
inferred← citeshttps://doi.org/10.1016/j.jcsr.2025.109416openalex-snapshot
Experiment-based modal identification of steel lattice towers considering the effect of conductors
inferred← citeshttps://doi.org/10.1016/j.jobe.2022.105004openalex-snapshot
Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures
inferred← citeshttps://doi.org/10.1016/j.jobe.2024.111053openalex-snapshot
Attention-based hybrid network for structural nonlinear response prediction under long-period earthquake
inferred← citeshttps://doi.org/10.1016/j.jpse.2024.100223openalex-snapshot
Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.jsv.2020.115741openalex-snapshot
Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
inferred← citeshttps://doi.org/10.1016/j.jsv.2020.115768openalex-snapshot
A separation-based analytical framework for seismic responses of weakly-coupled electrical equipment
inferred← citeshttps://doi.org/10.1016/j.jsv.2023.117669openalex-snapshot
Sparse Bayesian technique for load identification and full response reconstruction
inferred← citeshttps://doi.org/10.1016/j.kscej.2024.100139openalex-snapshot
A novel Gibbs-MH sampling algorithm for Bayesian model updating
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111966openalex-snapshot
Efficient two-stage strain/temperature measurement method for BOTDA system based on Bayesian uncertainty quantification
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114666openalex-snapshot
Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115665openalex-snapshot
Equivalent reconstruction of local distributed dynamic load based on block sparse Bayesian learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.121668openalex-snapshot
A vision-based substructure approach for Bayesian model updating using displacement measurements
inferred← citeshttps://doi.org/10.1016/j.ndteint.2025.103472openalex-snapshot
On the selection of distance functions and signal processing techniques for guided wave-based damage identification through a likelihood-free Bayesian framework
inferred← citeshttps://doi.org/10.1016/j.nucengdes.2026.114940openalex-snapshot
Ageing Indian nuclear containment structures: Application of Bayesian methods in the estimation of prestress loss
inferred← citeshttps://doi.org/10.1016/j.paerosci.2020.100641openalex-snapshot
The potential for structural simulation to augment full scale fatigue testing: A review
inferred← citeshttps://doi.org/10.1016/j.probengmech.2022.103337openalex-snapshot
Bayesian-based model updating using natural frequency data for historic masonry towers
inferred← citeshttps://doi.org/10.1016/j.probengmech.2023.103507openalex-snapshot
Recent advances in uncertainty quantification in structural response characterization and system identification
inferred← citeshttps://doi.org/10.1016/j.probengmech.2024.103674openalex-snapshot
Approximate Bayesian Computation for structural identification of ancient tie-rods using noisy modal data
inferred← citeshttps://doi.org/10.1016/j.probengmech.2025.103761openalex-snapshot
A state-of-the-art review of Bayesian finite element model updating techniques for structural systems
inferred← citeshttps://doi.org/10.1016/j.probengmech.2025.103868openalex-snapshot
A novel Bayesian method for simultaneous identification of structural mass and stiffness parameters
inferred← citeshttps://doi.org/10.1016/j.renene.2023.119430openalex-snapshot
System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements
inferred← citeshttps://doi.org/10.1016/j.ress.2021.108043openalex-snapshot
Resilience assessment approach of mechanical structure combining finite element models and dynamic Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.ress.2025.111831openalex-snapshot
Sparse Bayesian learning for joint load-parameter-response identification
inferred← citeshttps://doi.org/10.1016/j.ress.2026.112478openalex-snapshot
Probabilistic graphical model using graph neural networks for Bayesian inversion of discrete structural component states
inferred← citeshttps://doi.org/10.1016/j.strusafe.2024.102518openalex-snapshot
Bayesian inference of the spatial distribution of steel corrosion in reinforced concrete structures using corrosion-induced crack width
inferred← citeshttps://doi.org/10.1016/j.strusafe.2026.102695openalex-snapshot
Dynamic Bayesian networks for long-term SHM with scaled mixture likelihood models and improved particle filters
inferred← citeshttps://doi.org/10.1016/j.tws.2023.111138openalex-snapshot
Guided wave-based characterisation of cracks in pipes utilising approximate Bayesian computation
inferred← citeshttps://doi.org/10.1016/j.ultras.2022.106773openalex-snapshot
Guided waves-based damage identification in plates through an inverse Bayesian process
inferred← citeshttps://doi.org/10.1016/j.ymssp.2019.106437openalex-snapshot
A Bayesian approach for wavenumber identification of metamaterial beams possessing variability
inferred← citeshttps://doi.org/10.1016/j.ymssp.2019.106444openalex-snapshot
Bayesian probabilistic damage characterization based on a perturbation model using responses at vibration nodes
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.106884openalex-snapshot
Damage identification in plates under uncertain boundary conditions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.106965openalex-snapshot
Sparse Bayesian learning for structural damage detection under varying temperature conditions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.106998openalex-snapshot
A Bayesian probabilistic approach for damage identification in plate structures using responses at vibration nodes
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.107362openalex-snapshot
Identification of joint structural state and earthquake input based on a generalized Kalman filter with unknown input
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.107563openalex-snapshot
Sparse Bayesian factor analysis for structural damage detection under unknown environmental conditions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.107615openalex-snapshot
Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108150openalex-snapshot
Digital clone testing platform for the assessment of SHM systems under uncertainty
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108204openalex-snapshot
Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108782openalex-snapshot
Bayesian spectral density approach for identification of bridge section’s flutter derivatives operated in turbulent flow
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109742openalex-snapshot
Bayesian-based method for the simultaneous identification of structural damage and moving force
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110318openalex-snapshot
Real-time structural model updating using local eigenvalue modification procedure for applications in high-rate dynamic events
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110324openalex-snapshot
Efficient structural model updating with spatially sparse modal data: A Bayesian perspective
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110365openalex-snapshot
Damage localization and robust diagnostics in guided-wave testing using multitask complex hierarchical sparse Bayesian learning
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110483openalex-snapshot
A robust sparse Bayesian learning method for the structural damage identification by a mixture of Gaussians
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.111025openalex-snapshot
Bayesian two-stage structural identification with equivalent formulation and EM algorithm
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111409openalex-snapshot
Improved hierarchical Bayesian modeling framework with arbitrary polynomial chaos for probabilistic model updating
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.112137openalex-snapshot
Outlier-resistant guided wave dispersion curve recovery and measurement placement optimization base on multitask complex hierarchical sparse Bayesian learning
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112395openalex-snapshot
Bayesian generative kernel Gaussian process regression
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112688openalex-snapshot
High-Dimensional Bayesian inference for model updating with neural likelihood approximator powered by dimensionality-reducing flow-based generative model
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112697openalex-snapshot
Modelling and stochastic updating of nonlinear structural joints
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112743openalex-snapshot
Data-driven stochastic model updating and damage detection with deep generative model
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112867openalex-snapshot
Model selection in damage identification using approximate Bayesian computations
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112969openalex-snapshot
From likelihood to limit state: A reliability-inspired framework for Bayesian evidence estimation and high-dimensional sampling
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113333openalex-snapshot
Bayesian model inference with complex posteriors: Exponential-impact-informed Bayesian Quadrature
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113398openalex-snapshot
Flow-HBM: A generative likelihood-free hierarchical Bayesian model updating framework with dual normalizing flow-based inference networks
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113602openalex-snapshot
Fast variational Bayesian inference for structural finite element model updating
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114020openalex-snapshot
Hierarchical Bayesian model updating using Dirichlet process mixtures for structural damage localization
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114339openalex-snapshot
Bay-Fi: Approximate Bayesian main Frequency Identification for extremely undersampled signals
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114512openalex-snapshot
Experimental identification of a bistable device for seismic energy dissipation
inferred← citeshttps://doi.org/10.1017/aer.2024.31openalex-snapshot
FEM-based eigenstructure recovery of a space truss with active members
inferred← citeshttps://doi.org/10.1017/dce.2022.28openalex-snapshot
Digital twinning of self-sensing structures using the statistical finite element method
inferred← citeshttps://doi.org/10.1017/dce.2023.18openalex-snapshot
Bayesian system identification for structures considering spatial and temporal correlation
inferred← citeshttps://doi.org/10.1038/s44172-025-00486-3openalex-snapshot
Intelligent excitation adaptability for full-spectrum real-time vibration isolation
inferred← citeshttps://doi.org/10.1061/(asce)st.1943-541x.0003405openalex-snapshot
Symbolic Deep Learning for Structural System Identification
inferred← citeshttps://doi.org/10.1061/ajrua6.0001196openalex-snapshot
A Practical Bayesian Framework for Structural Model Updating and Prediction
inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-1402openalex-snapshot
Performance-Based Risk Assessment for Large-Scale Transportation Networks Using the Transitional Markov Chain Monte Carlo Method
inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-1692openalex-snapshot
Fast and Scalable Likelihood-Free Bayesian Model Updating for Multiple-Measurement Data via Conditional Invertible Neural Network and Posterior Stacking
inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-1910openalex-snapshot
Bayesian Model Updating for the Minimum Cross-Sectional Thickness of a Belt Conveyor Support Structure Member
inferred← citeshttps://doi.org/10.1088/1361-6501/ae41daopenalex-snapshot
An improved robust sparse Bayesian learning method by matrix balancing for accurate identification of structural damage
inferred← citeshttps://doi.org/10.1088/1361-665x/aae9b4openalex-snapshot
Diagnosis and accuracy enhancement of compressive-sensing signal reconstruction in structural health monitoring using multi-task sparse Bayesian learning
inferred← citeshttps://doi.org/10.1088/1361-665x/ad5504openalex-snapshot
A comprehensive review on health monitoring of joints in steel structures
inferred← citeshttps://doi.org/10.1088/1755-1315/1415/1/012098openalex-snapshot
Application of the numerical modelling for the interpretation of the piezometric data on earth dams in the view of uncertainties specific for dam operation
inferred← citeshttps://doi.org/10.1088/3050-2454/adc580openalex-snapshot
Hierarchical Bayesian modeling for uncertainty quantification and reliability updating using data
inferred← citeshttps://doi.org/10.1108/ecam-08-2025-1321openalex-snapshot
Time-dependent Bayesian dynamic probabilistic duration forecasting of underground construction activities
inferred← citeshttps://doi.org/10.1109/icrms65480.2025.00028openalex-snapshot
Reliability Modeling and Assessment of Complex Electronic Systems in Spacecraft Based on Multisource Data Fusion
inferred← citeshttps://doi.org/10.1109/icus66297.2025.11295762openalex-snapshot
An Assessment Method for UAV Damage Degree in Strong Electromagnetic Pulse Environment Based on Neural Network
inferred← citeshttps://doi.org/10.1109/tim.2025.3573001openalex-snapshot
Damage Localization in CFRP Composites Based on Distributionally Robust Methods and Ultrasonic Guided Waves
inferred← citeshttps://doi.org/10.1109/tr.2020.3032157openalex-snapshot
Probabilistic Analysis for Remaining Useful Life Prediction and Reliability Assessment
inferred← citeshttps://doi.org/10.1115/1.4054575openalex-snapshot
A Methodology for the Efficient Quantification of Parameter and Model Uncertainty
inferred← citeshttps://doi.org/10.1115/1.4065826openalex-snapshot
Model Parameter Calibration for Vibration Fatigue Analysis by Means of Bayesian Updating and Artificial Neural Network Based Surrogate Models
inferred← citeshttps://doi.org/10.1142/s0219455420501230openalex-snapshot
Identification of Structural Stiffness and Mass using Bayesian Model Updating Approach with Known Added Mass: Numerical Investigation
inferred← citeshttps://doi.org/10.1142/s0219455426500987openalex-snapshot
Damage Detection of an Asymmetrical Frame via Sparse Bayesian Learning with a PSO Algorithm
inferred← citeshttps://doi.org/10.1142/s3060932125500050openalex-snapshot
Flaw detection in plates using Bayesian inference
inferred← citeshttps://doi.org/10.1155/2019/4652328openalex-snapshot
Impact of Damping Models in Damage Identification
inferred← citeshttps://doi.org/10.1155/2022/3890255openalex-snapshot
Construction of Artistic Design Patterns Based on Improved Distributed Data Parallel Computing of Heterogeneous Tasks
inferred← citeshttps://doi.org/10.1155/stc/1738114openalex-snapshot
Hybrid Eigensensitivity‐Machine Learning Framework for Model Updating of a Generally Damped Base‐Isolated Bridge
inferred← citeshttps://doi.org/10.1155/stc/6676202openalex-snapshot
A Bayesian and Laplace Prior‐Based Adaptive Sparse Regularization Approach for Structural Damage Diagnosis With Uncertainty Quantification
inferred← citeshttps://doi.org/10.1177/10775463221081182openalex-snapshot
Shape monitoring and damage identification in stiffened plates using inverse finite element method and Bayesian learning
inferred← citeshttps://doi.org/10.1177/13694332211069511openalex-snapshot
Hybrid nested sampling method for identifying the uncertainty of the high-dimensional updating parameters in Bayesian structural model updating
inferred← citeshttps://doi.org/10.1177/13694332251321196openalex-snapshot
State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures
inferred← citeshttps://doi.org/10.1177/13694332251346848openalex-snapshot
Parallelized adaptive Bayesian updating with structural reliability methods for inference of large engineering models
inferred← citeshttps://doi.org/10.1177/13694332261477774openalex-snapshot
Multi-type data anomaly detection for structural health monitoring using interpretable machine learning methodology
inferred← citeshttps://doi.org/10.1177/1475921720921256openalex-snapshot
Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm
inferred← citeshttps://doi.org/10.1177/1475921720926970openalex-snapshot
Sparse representation for damage identification of structural systems
inferred← citeshttps://doi.org/10.1177/1475921720985143openalex-snapshot
IWSHM 2019: Perturbation-based Bayesian damage identification using responses at vibration nodes
inferred← citeshttps://doi.org/10.1177/14759217241247130openalex-snapshot
Probabilistic damage identification for bridges using multiple damage-sensitive features and FE model update
inferred← citeshttps://doi.org/10.1177/14759217241256395openalex-snapshot
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams
inferred← citeshttps://doi.org/10.1177/14759217241273999openalex-snapshot
ANN-based damage detection with two-stage approach and model reduction
inferred← citeshttps://doi.org/10.1177/14759217251320044openalex-snapshot
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis
inferred← citeshttps://doi.org/10.1177/14759217251333059openalex-snapshot
Anomaly detection of sensor faults and extreme events by anomaly locating strategies and convolutional autoencoders
inferred← citeshttps://doi.org/10.1177/14759217261449462openalex-snapshot
Domain-adaptive nonlinear probabilistic latent variable model for vibration-based structural damage detection under climate change
inferred← citeshttps://doi.org/10.14808/sci.plena.2023.119909openalex-snapshot
Identificação de danos estruturais empregando modelos de funções exponenciais, transformação integral e inferência Bayesiana
inferred← citeshttps://doi.org/10.1590/0001-3765202420230953openalex-snapshot
Response Surface Model of the Reduced Flexibility Matrix for Bayesian Damage Identification
inferred← citeshttps://doi.org/10.1680/jsmic.23.00076openalex-snapshot
Non-contact municipal bridge structure identification based on Bayesian theory
inferred← citeshttps://doi.org/10.18297/etd/3791openalex-snapshot
Hybrid structural health monitoring using data-driven modal analysis and model-based Bayesian inference.
inferred← citeshttps://doi.org/10.2139/ssrn.4827815openalex-snapshot
Approximate Bayesian Computation for Structural Identification of Ancient Tie-Rods Using Noisy Modal Data
inferred← citeshttps://doi.org/10.2139/ssrn.5347930openalex-snapshot
Sparse Bayesian Identification of Arx Transfer Functions for Modal Analysis with Uncertainty Quantification
inferred← citeshttps://doi.org/10.2139/ssrn.5615212openalex-snapshot
Sequential broad learning system modeling framework for finite element model updating using incomplete modal data
inferred← citeshttps://doi.org/10.2139/ssrn.5641159openalex-snapshot
An improved Bayesian model updating framework using an enriched spring-based finite element modelfor structural health monitoring
inferred← citeshttps://doi.org/10.2139/ssrn.5971325openalex-snapshot
Sequential broad learning system modeling framework for finite element model updating using incomplete modal data
inferred← citeshttps://doi.org/10.2749/christchurch.2021.0319openalex-snapshot
Analysis of Performance Evaluation Index for bridge group networking monitoring and collaborative supervision
inferred← citeshttps://doi.org/10.28948/ngumuh.1361253openalex-snapshot
Düzlem çerçeve modelinin hasar tespit sonuçlarının belirsizlik ölçümü
inferred← citeshttps://doi.org/10.32604/sdhm.2024.053662openalex-snapshot
Structural Modal Parameter Recognition and Related Damage Identification Methods under Environmental Excitations: A Review
inferred← citeshttps://doi.org/10.3390/app12030986openalex-snapshot
Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with a Mechatronics-Twin Framework
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