An efficient algorithm for simulating ensembles of parameterized flow problems

Abstract

Many applications of computational fluid dynamics require multiple simulations of a flow under different input conditions. In this paper, a numerical algorithm is developed to efficiently determine a set of such simulations in which the individually independent members of the set are subject to different viscosity coefficients, initial conditions and/or body forces. The proposed scheme, when applied to the flow ensemble, needs to solve a single linear system with multiple right-hand sides, and thus is computationally more efficient than solving for all the simulations separately. We show that the scheme is nonlinearly and long-term stable under certain conditions on the time-step size and a parameter deviation ratio. A rigorous numerical error estimate shows the scheme is of first-order accuracy in time and optimally accurate in space. Several numerical experiments are presented to illustrate the theoretical results.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 24, 2018
Source ID
10.1093/imanum/dry029

Entities

People

  • Max Gunzburger
  • Nan Jiang
  • Zhu Wang

Organizations

  • Air Force Office of Scientific Research
  • Florida State University
  • Missouri University of Science and Technology
  • National Science Foundation
  • United States Department of Energy
  • University of South Carolina

Tags

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Operations Research

Technology Areas

  • Space