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Introduction to the Thermodynamically Constrained Averaging Theory for Porous Medium Systems (Hardcover, 2014 ed.): William G.... Introduction to the Thermodynamically Constrained Averaging Theory for Porous Medium Systems (Hardcover, 2014 ed.)
William G. Gray, Cass T. Miller
R4,344 Discovery Miles 43 440 Ships in 10 - 15 working days

Thermodynamically constrained averaging theory provides a consistent method for upscaling conservation and thermodynamic equations for application in the study of porous medium systems. The method provides dynamic equations for phases, interfaces, and common curves that are closely based on insights from the entropy inequality. All larger scale variables in the equations are explicitly defined in terms of their microscale precursors, facilitating the determination of important parameters and macroscale state equations based on microscale experimental and computational analysis. The method requires that all assumptions that lead to a particular equation form be explicitly indicated, a restriction which is useful in ascertaining the range of applicability of a model as well as potential sources of error and opportunities to improve the analysis.

Introduction to the Thermodynamically Constrained Averaging Theory for Porous Medium Systems (Paperback, Softcover reprint of... Introduction to the Thermodynamically Constrained Averaging Theory for Porous Medium Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
William G. Gray, Cass T. Miller
R4,745 Discovery Miles 47 450 Ships in 10 - 15 working days

Thermodynamically constrained averaging theory provides a consistent method for upscaling conservation and thermodynamic equations for application in the study of porous medium systems. The method provides dynamic equations for phases, interfaces, and common curves that are closely based on insights from the entropy inequality. All larger scale variables in the equations are explicitly defined in terms of their microscale precursors, facilitating the determination of important parameters and macroscale state equations based on microscale experimental and computational analysis. The method requires that all assumptions that lead to a particular equation form be explicitly indicated, a restriction which is useful in ascertaining the range of applicability of a model as well as potential sources of error and opportunities to improve the analysis.

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