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Proceedings Papers

Bayesian Updating of Nonlinear Model Predictions Using Markov Chain Monte Carlo Simulation

Proc. ASME. IDETC-CIE2001, Volume 6A: 18th Biennial Conference on Mechanical Vibration and Noise, 821-828, September 9–12, 2001

Paper No: DETC2001/VIB-21398

DOI: https://doi.org/10.1115/DETC2001/VIB-21398

View Paper titled, Bayesian Updating of Nonlinear Model Predictions Using Markov Chain Monte Carlo Simulation

Topics: Chain, Simulation, Reliability, Algorithms, Cities, Dynamic systems, Probability

Journal Articles

Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation

Stephen Wu, Panagiotis Angelikopoulos, James L. Beck, Petros Koumoutsakos

ASME J. Risk Uncertainty Part B. March 2019, 5(1): 011006.

Paper No: RISK-17-1104

DOI: https://doi.org/10.1115/1.4040571

Published Online: August 14, 2018

View Article titled, Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation

Topics: Approximation, Errors, Uncertainty, Engineering systems and industry applications, Polynomials, Electromagnetic weapons, Anticancer drugs, Pharmacokinetics

Includes: Supplementary data

Journal Articles

Robust Stochastic Design of Linear Controlled Systems for Performance Optimization

Alexandros A. Taflanidis, Jeffrey T. Scruggs, James L. Beck

J. Dyn. Sys., Meas., Control. September 2010, 132(5): 051008.

DOI: https://doi.org/10.1115/1.4001849

Published Online: August 19, 2010

View Article titled, Robust Stochastic Design of Linear Controlled Systems for Performance Optimization

Topics: Control equipment, Design, Optimization, Reliability, Probability, Uncertainty

Proceedings Papers

Algorithms for Bayesian Model Class Selection of Higher-Dimensional Dynamic Systems

Sai Hung Cheung, James L. Beck

Proc. ASME. IDETC-CIE2007, Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C, 1549-1558, September 4–7, 2007

Paper No: DETC2007-35858

DOI: https://doi.org/10.1115/DETC2007-35858

View Paper titled, Algorithms for Bayesian Model Class Selection of Higher-Dimensional Dynamic Systems

Topics: Algorithms, Computation, Dynamic systems, Probability, Structural dynamics, Structural health monitoring

Proceedings Papers

Updating Nonlinear Dynamical Models Using Response Measurements Only

Ka-Veng Yuen, James L. Beck

Proc. ASME. IDETC-CIE2003, Volume 5: 19th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C, 1593-1600, September 2–6, 2003

Paper No: DETC2003/VIB-48494

DOI: https://doi.org/10.1115/DETC2003/VIB-48494

View Paper titled, Updating Nonlinear Dynamical Models Using Response Measurements Only

Topics: Density, Fast Fourier transforms, Linear systems, Nonlinear dynamical systems, Nonlinear systems, Probability, Robustness, Signals, Spectral energy distribution, Statistical distributions

Journal Articles

Unified Probabilistic Approach for Model Updating and Damage Detection

Ka-Veng Yuen, James L. Beck, Lambros S. Katafygiotis

J. Appl. Mech. July 2006, 73(4): 555–564.

DOI: https://doi.org/10.1115/1.2150235

Published Online: September 29, 2005

View Article titled, Unified Probabilistic Approach for Model Updating and Damage Detection

Topics: Approximation, Damage, Damping, Excitation, Probability, Stiffness, Wind, Errors, White noise, Vibration

Journal citation

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Supplemental Material

Bayesian Updating of Nonlinear Model Predictions Using Markov Chain Monte Carlo Simulation

Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation

Robust Stochastic Design of Linear Controlled Systems for Performance Optimization

Algorithms for Bayesian Model Class Selection of Higher-Dimensional Dynamic Systems

Updating Nonlinear Dynamical Models Using Response Measurements Only

Unified Probabilistic Approach for Model Updating and Damage Detection

Journals

Conference Proceedings

eBooks

Resources

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Bayesian Updating of Nonlinear Model Predictions Using Markov Chain Monte Carlo Simulation

Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation

Robust Stochastic Design of Linear Controlled Systems for Performance Optimization

Algorithms for Bayesian Model Class Selection of Higher-Dimensional Dynamic Systems

Updating Nonlinear Dynamical Models Using Response Measurements Only

Unified Probabilistic Approach for Model Updating and Damage Detection

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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