A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments
From MaRDI portal
Publication:412608
DOI10.1016/j.crma.2012.01.018zbMath1291.76195OpenAlexW2011646562MaRDI QIDQ412608
Gaël Poëtte, Hervé Jourdren, Didier Lucor
Publication date: 4 May 2012
Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.crma.2012.01.018
Related Items (2)
A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation ⋮ Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations
Cites Work
- Unnamed Item
- Time-dependent generalized polynomial chaos
- Treatment of uncertain material interfaces in compressible flows
- A gPC-based approach to uncertain transonic aerodynamics
- Arbitrary high-order schemes for the linear advection and wave equations: application to hydrodynamics and aeroacoustics
- Long-term behavior of polynomial chaos in stochastic flow simulations
- A Godunov-type method in Lagrangian coordinates for computing linearly-perturbed planar-symmetric flows of gas dynamics
- Beyond Wiener-Askey expansions: handling arbitrary PDFs
- Uncertainty quantification for chaotic computational fluid dynamics
- The orthogonal development of non-linear functionals in series of Fourier-Hermite functionals
- SOME EXPERIMENTS WITH STABILITY ANALYSIS OF DISCRETE INCOMPRESSIBLE FLOWS IN THE LID-DRIVEN CAVITY
- Gaussian fields and random flow
- Richtmyer–Meshkov instability growth: experiment, simulation and theory
This page was built for publication: A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments
