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A Bayesian methodology for crack identification in structures using strain measurements

A dual Kalman filter approach for state estimation via output-only acceleration measurements

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A hierarchical Bayesian framework for force field selection in molecular dynamics simulations.

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A new stationary PDF approximation for non-linear oscillators

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Approximate Random Vibration Analysis of Classically Damped MDOF Systems

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Approximate analysis of higher cumulants for multi-degree-of-freedom random vibration

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Approximate analysis of response variability of uncertain linear systems

Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics

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Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials

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Bayesian uncertainty quantification of turbulence models based on high-order adjoint

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Component mode synthesis techniques for finite element model updating

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Data driven, predictive molecular dynamics for nanoscale flow simulations under uncertainty

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Data-driven prediction and origin identification of epidemics in population networks

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Design Optimization of Quarter-car Models with Passive and Semi-active Suspensions under Random Road Excitation

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Direct derivation of response moment and cumulant equations for non-linear stochastic problems

Entropy-based optimal sensor location for structural damage detection

Experimental Validation of the Dual Kalman Filter for Online and Real-Time State and Input Estimation

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification

Fatigue Monitoring in Metallic Structures using Vibration Measurements

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Fatigue Reliability of Multidimensional Vibratory Degrading Systems under Random Loading

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Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering

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Hierarchical Bayesian Model Updating for Probabilistic Damage Identification

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Hierarchical Bayesian model updating for structural identification

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Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

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Leakage detection in water pipe networks using a Bayesian probabilistic framework

Model-reduction techniques for Bayesian finite element model updating using dynamic response data

Model-reduction techniques for reliability-based design problems of complex structural systems

Moving resonance in nonlinear response to fully nonstationary stochastic ground motion

Multi-objective framework for structural model identification

Nonlinear Gear Transmission System Numerical Dynamic Analysis and Experimental Validation

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On prediction error correlation in Bayesian model updating

Optimal experimental design in stochastic structural dynamics

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Optimal sensor placement methodology for parametric identification of structural systems

Pareto Optimal Structural Models and Predictions Consistent With Data and Modal Residuals

Pareto optimal sensor locations for structural identification

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Reliability sensitivity analysis of stochastic finite element models

Sensitivity Analysis for Uncertainty Propagation and Robust Design

Sequential importance sampling for structural reliability analysis

Special issue of the Journal of Structural Safety in honor of Professor James L. Beck

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Stochastic Response Cumulants of MDOF Linear Systems

Stochastic cumulant analysis of MDOF systems with polynomial-type nonlinearities

Structural identification based on optimally weighted modal residuals

Structural identification of Egnatia Odos bridges based on ambient and earthquake induced vibrations

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Structural model updating and prediction variability using Pareto optimal models

The effect of prediction error correlation on optimal sensor placement in structural dynamics

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The use of updated robust reliability measures in stochastic dynamical systems

Updating robust reliability using structural test data

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X-TMCMC: Adaptive kriging for Bayesian inverse modeling

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