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Title: Numerical parametric analysis of nonlinear phenomena in the confined Benard problem

Conference · · Trans. Am. Nucl. Soc.; (United States)
OSTI ID:6727785

The nonlinearity of the fluids equations permits the existence of multiple solutions for many fluids problems of practical interest. It is of great importance to investigate the existence of multiple solutions and their dependence on the relevant parameters in fluids problems. In a parametric study, these parameters are varied and the problem is solved to obtain the equilibrium solution(s) at each point in the region of parameter space under investigation. For most nontrivial, realistic problems the equilibrium solution is obtained numerically, and to cover a reasonable portion of the parameter space a large number of calculations is required. Highly accurate and computationally efficient numerical methods, such as the nodal integral method (NIM), are therefore necessary to conduct parametric studies of nonlinear problems. A NIM has been developed recently for the numerical solution of natural thermal convection problems in the Boussinesq approximation. The high accuracy and computational efficiency of this method have been established by comparing coarse-mesh NIM solutions to the benchmark solution of the double-glazing problem, obtained via h/sup 2/ extrapolation of fine-mesh finite-difference results. The authors used this NIM to carry out a numerical parametric study of the equilibrium solution surface for the confined Benard problem. Because of the high accuracy of the NIM, they were able to analyze the bifurcations and catastrophes present in the solution surface of this problem using a rather coarse, 6 x 6, mesh.

Research Organization:
Univ. of Virginia, Charlottesville
OSTI ID:
6727785
Report Number(s):
CONF-861102-
Journal Information:
Trans. Am. Nucl. Soc.; (United States), Vol. 53; Conference: American Nuclear Society and Atomic Industrial Forum joint meeting, Washington, DC, USA, 16 Nov 1986
Country of Publication:
United States
Language:
English