4.7 Article

A new Bayesian finite element model updating method based on information fusion of multi-source Markov chains

Related references

Note: Only part of the references are listed.
Article Engineering, Mechanical

Sampling methods for solving Bayesian model updating problems: A tutorial

Adolphus Lye et al.

Summary: This tutorial paper reviews the use of advanced Monte Carlo sampling methods in Bayesian model updating for engineering applications, introducing different methods and comparing their performance. Three case studies demonstrate the advantages and limitations of these sampling techniques in parameter identification, posterior distribution sampling, and stochastic identification of model parameters.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Review Computer Science, Artificial Intelligence

Multi-source information fusion based on rough set theory: A review

Pengfei Zhang et al.

Summary: Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary subject that faces new challenges in dealing with multi-source data. Rough set theory provides a computing paradigm for uncertain data modeling and reasoning. Researchers need to better clarify the approaches and application of MSIF in the RST research community.

INFORMATION FUSION (2021)

Article Acoustics

Dynamic condensation approach for response-based finite element model updating of large-scale structures

Wei Tian et al.

Summary: This study introduces the dynamic condensation approach to improve the computational efficiency of response-based finite element model updating for large-scale structures. By selecting a small number of master DOFs and using a transformation matrix, the global vibration equation is reduced to enhance efficiency. Response and response sensitivities can be calculated directly from the reduced vibration equation, ensuring an efficient model updating process.

JOURNAL OF SOUND AND VIBRATION (2021)

Article Engineering, Mechanical

A homotopy transformation method for interval-based model updating of uncertain vibrating systems

Dario Richiedei et al.

Summary: This paper presents a novel approach for model updating in linear vibrating systems, utilizing measured natural frequencies, antiresonances, and uncertain or incomplete data of mode shapes. The method relies on non-linear, non-convex minimization and homotopy optimization to simultaneously update mass and stiffness matrices. Introducing Jacobian matrices for parameter normalization improves numerical conditioning and computation speed.

MECHANISM AND MACHINE THEORY (2021)

Article Engineering, Chemical

Model-based information fusion investigation on fault isolation of subsea systems considering the interaction among subsystems and sensors

Guozheng Song et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2020)

Article Engineering, Mechanical

Novel parameter update for a gradient based MCMC method for solid-void interface detection through elastodynamic inversion

Michael Conrad Koch et al.

PROBABILISTIC ENGINEERING MECHANICS (2020)

Article Mechanics

An interval updating model for composite structures optimization

Qinghe Shi et al.

COMPOSITE STRUCTURES (2019)

Article Engineering, Multidisciplinary

Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection

Jize Zhang et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)

Article Computer Science, Interdisciplinary Applications

Accelerating pseudo-marginal MCMC using Gaussian processes

Christopher C. Drovandi et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2018)

Article Engineering, Multidisciplinary

Efficient Markov Chain Monte Carlo for combined Subset Simulation and nonlinear finite element analysis

David K. E. Green

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2017)

Article Statistics & Probability

Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

Patrick R. Conrad et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2016)

Article Acoustics

A new iterative model updating method using incomplete frequency response function data

Xianyue Gang et al.

JOURNAL OF SOUND AND VIBRATION (2014)

Article Engineering, Mechanical

A novel approach for stochastic finite element model updating and parameter estimation

Tianzheng Ma et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2014)

Article Acoustics

Investigation of model uncertainties in Bayesian structural model updating

B. Goller et al.

JOURNAL OF SOUND AND VIBRATION (2011)

Review Management

Kriging metamodeling in simulation: A review

Jack P. C. Kleijnen

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2009)

Article Engineering, Multidisciplinary

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

Jasper A. Vrugt et al.

INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION (2009)

Article Computer Science, Theory & Methods

DRAM: Efficient adaptive MCMC

Heikki Haario et al.

STATISTICS AND COMPUTING (2006)

Article Statistics & Probability

Sequential Monte Carlo samplers

Pierre Del Moral et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Engineering, Mechanical

Finite-element model updating, eigenstructure assignment and eigenvalue embedding techniques for vibrating systems

BN Datta

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2002)