Name
Abstract | ||
|---|---|---|
The Burgers' equation with uncertain initial and boundary conditions is investigated using a polynomial chaos (PC) expansion approach where the solution is represented as a truncated series of stochastic, orthogonal polynomials. The analysis of well-posedness for the system resulting after Galerkin projection is presented and follows the pattern of the corresponding deterministic Burgers equation. The numerical discretization is based on spatial derivative operators satisfying the summation by parts property and weak boundary conditions to ensure stability. Similarly to the deterministic case, the explicit time step for the hyperbolic stochastic problem is proportional to the inverse of the largest eigenvalue of the system matrix. The time step naturally decreases compared to the deterministic case since the spectral radius of the continuous problem grows with the number of polynomial chaos coefficients. An estimate of the eigenvalues is provided. A characteristic analysis of the truncated PC system is presented and gives a qualitative description of the development of the system over time for different initial and boundary conditions. It is shown that a precise statistical characterization of the input uncertainty is required and partial information, e.g. the expected values and the variance, are not sufficient to obtain a solution. An analytical solution is derived and the coefficients of the infinite PC expansion are shown to be smooth, while the corresponding coefficients of the truncated expansion are discontinuous. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.jcp.2009.08.012 | J. Comput. Physics |
Keywords | Field | DocType |
uncertainty quantification,analytical solution,boundary condition,system matrix,numerical analysis,numerical stability,polynomial chaos,truncated pc system,hyperbolic problems,expansion approach,deterministic case,explicit time step,uncertainty quantification hyperbolic problems polynomial chaos numerical stability,infinite pc expansion,time step,corresponding deterministic burgers equation,satisfiability,expected value,spectral radius,computational mathematics,analytic solution,burgers equation,computer science,eigenvalues,orthogonal polynomial | Boundary value problem,Discretization,Summation by parts,Mathematical optimization,Mathematical analysis,Galerkin method,Polynomial chaos,Burgers' equation,Eigenvalues and eigenvectors,Numerical stability,Mathematics | Journal |
Volume | Issue | ISSN |
228 | 22 | Journal of Computational Physics |
Citations | PageRank | References |
8 | 0.73 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Per Pettersson | 1 | 14 | 1.90 |
| Gianluca Iaccarino | 2 | 229 | 23.37 |
| Jan Nordström | 3 | 218 | 31.47 |