Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics

DOI10.1007/s00466-021-02109-yOpenAlexW3205740685WikidataQ113326578 ScholiaQ113326578MaRDI QIDQ2115601

Yanyan Li

Publication date: 17 March 2022

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://hal-upec-upem.archives-ouvertes.fr/hal-03381359

zbMATH Keywords

multileveluncertainty quantificationreduced-order modelvibroacousticsautomobilebroad-frequency band

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX)

Related Items (1)

Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool

Cites Work

• Unnamed Item
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• A Mathematical Theory of Communication
• Variational-based reduced-order model in dynamic substructuring of coupled structures through a dissipative physical interface: recent advances
• Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation
• Uncertainty quantification. An accelerated course with advanced applications in computational engineering
• Developments in stochastic structural mechanics
• Dynamic analysis of a tube bundle with fluid-structure interaction modelling using a homogenisation method
• Stochastic spectral methods for efficient Bayesian solution of inverse problems
• The truncated SVD as a method for regularization
• A dual Craig--Bampton method for dynamic substructuring
• Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models
• Multilevel model reduction for uncertainty quantification in computational structural dynamics
• Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures
• Stochastic reduced order models for uncertain geometrically nonlinear dynamical systems
• Handbook of Uncertainty Quantification
• Data-driven model reduction for the Bayesian solution of inverse problems
• Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
• On a component mode synthesis method and its application to incompatible substructures
• Information Theory and Statistical Mechanics
• Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis
• Reduction of substructural interface degrees of freedom in flexibility-based component mode synthesis
• Spectral Methods for Uncertainty Quantification
• Flexural wave propagation behavior of lumped mass approximations
• On nonlinear dynamic analysis using substructuring and mode superposition
• Rayleigh-Ritz based substructure synthesis for flexible multibody systems
• Improved Component-Mode Representation for Structural Dynamic Analysis
• Convergence Studies of Dynamic Analysis by Using the Finite Element Method With Lumped Mass Matrix
• HIGH CONVERGENCE ORDER FINITE ELEMENTS WITH LUMPED MASS MATRIX
• Left Eigenvectors: Extraction From Measurements and Physical Interpretation
• Dynamic Substructuring of Damped Structures Using Singular Value Decomposition
• Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
• Méthodes numériques avancées en vibroacoustique basses et moyennes fréquences
• Random field representations for stochastic elliptic boundary value problems and statistical inverse problems
• Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems
• Coupling of substructures for dynamic analyses.
• Vibration Analysis of Structures by Component Mode Substitution

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