Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems

Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems

AIAA JOURNAL

Saved in:

Bibliographic Details
Main Authors:	McGurk, Michael, Lye, Adolphus, Renson, Ludovic, Yuan, Jie
Other Authors:	S'PORE NUCLEAR RSCH & SAFETY INITIATIVE
Format:	Article
Published:	American Institute of Aeronautics and Astronautics 2024
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/246706
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Identification of Volterra kernels for improved predictions of nonlinear aeroelastic vibration responses and flutter
by: Lin, Rongming, et al.
Published: (2020)

NONLINEAR STRUCTURAL AND AEROELASTIC ANALYSIS OF HALE AIRCRAFT
by: LIU LU
Published: (2018)

On-line Bayesian Inference for Structural Health Monitoring under Model Uncertainty using Sequential Ensemble Monte Carlo
by: Lye, Adolphus, et al.
Published: (2023)

COMPARISON BETWEEN DISTANCE FUNCTIONS FOR APPROXIMATE BAYESIAN COMPUTATION TOWARDS STOCHASTIC MODEL UPDATING AND MODEL VALIDATION UNDER LIMITED DATA
by: Lye, Adolphus, et al.
Published: (2023)

Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data
by: Lye, Adolphus, et al.
Published: (2024)

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
by: LI, Zhize, et al.
Published: (2019)

Stochastic Simulations for Inference in Nonlinear Errors-in-Variables Models
by: Mariano, Roberto S., et al.
Published: (1993)

AEROELASTIC LIMIT CYCLE OSCILLATION ANALYSIS OF AIRCRAFT WING WITH MULTIPLE STRUCTURAL NONLINEARITIES
by: YU QIJING
Published: (2020)

Aeroelastic load control of large and flexible wind turbines through mechanically driven flaps
by: Wei, Xing, et al.
Published: (2020)

AEROELASTIC MODELLING OF TALL STRUCTURES
by: ZHONG QUN
Published: (2020)

Flutter-boundary prediction using system identification-based reduced-order aeroelasticity analysis
by: Lai, K.L., et al.
Published: (2014)

Flutter-boundary prediction using system identification-based reduced-order aeroelasticity analysis
by: Lai, K.L., et al.
Published: (2014)

An investigation into an alternative transition criterion of the Transitional Markov Chain Monte Carlo method for Bayesian model updating
by: Lye, Adolphus, et al.
Published: (2023)

Bayesian calibration of stochastic computer models
by: Yuan, J., et al.
Published: (2014)

BAYESIAN LIKELIHOOD-FREE INFERENCE
by: ATLANTA CHAKRABORTY
Published: (2022)

Explaining Inferences in Bayesian Networks
by: YAP, Ghim-Eng, et al.
Published: (2008)

Simulation-based Bayesian inference for epidemic models
by: McKinley, T.J., et al.
Published: (2014)

Stochastic Model Updating Using The Jenson-Shannon Divergence For Calibration and Validation Under Limited Data
by: Lye, Adolphus, et al.
Published: (2024)

Reduced-order aeroelastic modeling using coupled CFD-CSD simulations and system identification technique
by: Lai, K.L., et al.
Published: (2014)

Reduced-order aeroelastic modeling using coupled CFD-CSD simulations and system identification technique
by: Lai, K.L., et al.
Published: (2014)

SEQUENTIAL MONTE CARLO FOR BAYESIAN INFERENCE AND DATA ASSIMILATION
by: DEBORSHEE SEN
Published: (2018)

Application of three-dimensional interfaces for data transfer in aeroelastic computations
by: Sadeghi, M., et al.
Published: (2014)

Data-driven material property prediction using probabilistic AI for Nuclear safety
by: Lye, Adolphus, et al.
Published: (2024)

BAYESIAN INFERENCE FOR LATENT VARIABLE MODELS
by: DENG LU
Published: (2020)

Quasi-Bayesian inference for production frontiers
by: LIU, Xiaobin, et al.
Published: (2020)

Synchronized charge extraction for aeroelastic energy harvesting
by: Zhao, Liya, et al.
Published: (2014)

Augmenting machine learning to thermoelectric measurements : using Bayesian inference to infer electronic transport parameters from device level power-load data
by: Darmawan, Michael
Published: (2020)

Aeroelastic analysis of super long cable-supported bridges
by: Zhang, Xin
Published: (2008)

Identifying modal properties of trees with Bayesian inference
by: Burcham, Daniel C., et al.
Published: (2022)

Modeling stock market dynamics with stochastic differential equation driven by fractional brownian motion: A Bayesian method
by: N. Harnpornchai, et al.
Published: (2018)

Modeling stock market dynamics with stochastic differential equation driven by fractional brownian motion: A Bayesian method
by: Harnpornchai N., et al.
Published: (2017)

Model-based aeroelastic analysis and blade load alleviation of offshore wind turbines
by: Ng, Bing Feng, et al.
Published: (2022)

Reduced-order based flutter analysis for complex aeroelastic systems
by: Lai, K.L., et al.
Published: (2014)

Graphical models and variational Bayesian inference for financial networks
by: Xin, Luyin
Published: (2019)

Bayesian parameter inference for partially observed stopped processes
by: Jasra, A., et al.
Published: (2016)

Bayesian inference using synthetic likelihood: asymptotics and adjustments
by: David Frazier, et al.
Published: (2024)

Bayesian variational inference for exponential random graph models
by: Linda Siew Li Tan, et al.
Published: (2021)

Inference on dengue epidemics with Bayesian regime switching models.
by: Lim, Jue Tao, et al.
Published: (2020)

Bayesian Inference of Social Norms as Shared Constraints on Behavior
by: Tan, Zhi-Xuan, et al.
Published: (2020)

A Bayesian metamodeling approach for stochastic simulations
by: Yin, J., et al.
Published: (2014)