Modelling error and constitutive relations in simulation of flow and transport

SUMMARY The main theme of this paper is the modelling error associated with the choice of constitutive equations and associated parameter sensitivity. These key concepts arerst discussed in a general way and explored in detail subsequently for threeow application problems which share certain similarities not only in thenite element formulation but also in the nature of the non-linear constitutive laws that are investigated. The specicow problems involve: density drivenow in porous media, the Powell- Eyring model for generalized Newtonianows, and the related Glen'sow type of constitutive relations for glacier modelling. Copyright ? 2004 John Wiley & Sons, Ltd. Continuing advances in high-speed computing permit more complex non-linear problems to be simulated. Non-linearities can arise in several common ways, perhaps the most important being non-linear couplings such as the advective term inow and transport processes, through various non-linear reaction terms and through non-linearities associated with the applicable constitutive models. The focus of the present work is on mathematical and numerical issues associated with the constitutive model assumptions and the resulting model errors. We also study the sensitivity of models to model parameters.

[1]  J. Tinsley Oden,et al.  Estimation of local modeling error and goal-oriented adaptive modeling of heterogeneous materials: I. Error estimates and adaptive algorithms , 2000 .

[2]  Graham F. Carey Circuit, Device and Process Simulation: Mathematical and Numerical Aspects , 1996 .

[3]  Henry Eyring,et al.  RELAXATION THEORY OF TRANSPORT PROBLEMS IN CONDENSED SYSTEMS , 1958 .

[4]  E. Holzbecher Modeling Density-Driven Flow in Porous Media , 1998 .

[5]  J. W. Elder Transient convection in a porous medium , 1967, Journal of Fluid Mechanics.

[6]  K. Ghia,et al.  Editorial Policy Statement on the Control of Numerical Accuracy , 1986 .

[7]  P. Stuyfzand An accurate, relatively simple calculation of the saturation index of calcite for fresh to salt water , 1989 .

[8]  D. N. Herting,et al.  Finite elements: Computational aspects: Vol. III, by G.F. Carey and J. Tinsley Oden, Prentice-Hall, Englewood Cliffs, NJ, 1984 , 1985 .

[9]  W. R. Souza,et al.  Variable density flow and solute transport simulation of regional aquifers containing a narrow freshwater‐saltwater transition zone , 1987 .

[10]  G. F. Carey,et al.  Adaptive Domain Extension and Adaptive Grids for Unbounded Spherical Elliptic PDEs , 1990, SIAM J. Sci. Comput..

[11]  J. Baranger,et al.  Estimateurs a posteriori d'erreur pour le calcul adaptatif d'écoulements quasi-newtoniens , 1991 .

[12]  Benjamin S. Kirk,et al.  Some aspects of adaptive grid technology related to boundary and interior layers , 2004 .

[13]  Ivo Babuška,et al.  A posteriori error analysis and adaptive processes in the finite element method: Part I—error analysis , 1983 .

[14]  Graham F. Carey,et al.  Finite Element Simulation of Phase Change Using Capacitance Methods , 1991 .

[15]  Rüdiger Verfürth,et al.  A posteriori error estimation and adaptive mesh-refinement techniques , 1994 .

[16]  Ivo Babuška,et al.  Quantitative Assessment of the Accuracy of Constitutive Laws for Plasticity with an Emphasis on Cyclic Deformation , 1993 .

[17]  J. Rappaz,et al.  A strongly nonlinear problem arising in glaciology , 1999 .

[18]  Finite element approximations of a glaciology problem , 2004 .

[19]  J. Colinge,et al.  Stress and velocity fields in glaciers: Part I. Finite-difference schemes for higher-order glacier models , 1998, Journal of Glaciology.

[20]  Edward L Cussler,et al.  Diffusion: Mass Transfer in Fluid Systems , 1984 .

[21]  G. Carey,et al.  Analysis of parameter sensitivity and experimental design for a class of nonlinear partial differential equations , 2005 .

[22]  G. Ségol,et al.  Classic Groundwater Simulations: Proving and Improving Numerical Models , 1993 .

[23]  J. Rappaz,et al.  Numerical simulation of the motion of a two‐dimensional glacier , 2004 .

[24]  Rolf Rannacher,et al.  Adaptive finite element methods for differntial equations , 2003 .

[25]  C. Simmons,et al.  Groundwater flow and solute transport at the Mourquong saline-water disposal basin, Murray Basin, southeastern Australia , 2002 .

[26]  Harold A. Buetow,et al.  Adaptive finite element methods for differential equations , 2003, Lectures in mathematics.

[27]  O. Kolditz,et al.  Coupled groundwater flow and transport : 1. Verification of variable density flow and transport models , 1998 .

[28]  H. Eyring Viscosity, Plasticity, and Diffusion as Examples of Absolute Reaction Rates , 1936 .

[29]  I. Babuska,et al.  A posteriori error analysis and adaptive processus in the finite element method. I: Error analysis , 1983 .