Modeling and Quantification of Model-Form Uncertainties in Eigenvalue Computations Using a Stochastic Reduced Model

AIAA Journal - United States
doi 10.2514/1.j056314
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Related search

3D Modeling Using a Statistical Sensor Model and Stochastic Search

English

Parametric Covariance Assignment Using a Reduced-Order Closed-Form Covariance Model

Systems Science and Control Engineering
ControlSystems EngineeringOptimizationArtificial Intelligence
2016English

Energy Price Shocks in a Reduced-Form Monetarist Model

SSRN Electronic Journal
1983English

Estimating Parametric, Model Form, and Solution Contributions Using Integral Validation Uncertainty Quantification

2006English

ISPN: Modeling Stochastic With Input Uncertainties Using an Interval-Based Approach

2011English

A POD Reduced-Order Model for Eigenvalue Problems With Application to Reactor Physics

International Journal for Numerical Methods in Engineering
Applied MathematicsNumerical AnalysisEngineering
2013English

Stochastic Model for the Process of Wine Award: Visualization and Quantification

Ciência e Técnica Vitivinícola
2014English

Finite Element Model Developed and Modal Analysis of Large Scale Steam Turbine Rotor: Quantification of Uncertainties and Model Updating

2017English

Dominant Eigenvalue Reduced-Order Model Compensating for a Steady-State Value for Polynomial Inputs

Transactions of the Society of Instrument and Control Engineers
1983English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy