An adjoint-assisted multilevel multifidelity method for uncertainty quantification and its application to turbomachinery manufacturing variability
DOI10.1002/nme.6617zbMATH Open1548.74856MaRDI QIDQ6553937
Pavanakumar Mohanamuraly, Jens-Dominik Müller
Publication date: 12 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
uncertainty quantificationadjoint sensitivitymultilevel multifidelity Monte Carlogoal-based PCAmanufacturing variations
Probabilistic models, generic numerical methods in probability and statistics (65C20) Monte Carlo methods (65C05) Vibrations in dynamical problems in solid mechanics (74H45) Finite element methods applied to problems in solid mechanics (74S05)
Cites Work
- Unnamed Item
- Efficient shape optimization for certain and uncertain aerodynamic design
- A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems
- Finite elements for elliptic problems with stochastic coefficients
- A generalized approximate control variate framework for multifidelity uncertainty quantification
- On the influence of robustness measures on shape optimization with stochastic uncertainties
- Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws
- Multifidelity approaches for optimization under uncertainty
- Multilevel Monte Carlo Path Simulation
- Multigrid Methods and Sparse-Grid Collocation Techniques for Parabolic Optimal Control Problems with Random Coefficients
- Adjoint Recovery of Superconvergent Functionals from PDE Approximations
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- On the distribution of points in a cube and the approximate evaluation of integrals
- Supersensitivity due to uncertain boundary conditions
- Introducing Monte Carlo Methods with R
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