Introduction to the thermodynamically constrained averaging theory for porous medium systems - Info and Reading Options
By W. G. Gray
"Introduction to the thermodynamically constrained averaging theory for porous medium systems" was published by Springer in 2014 - Cham, it has 582 pages and the language of the book is English.
“Introduction to the thermodynamically constrained averaging theory for porous medium systems” Metadata:
- Title: ➤ Introduction to the thermodynamically constrained averaging theory for porous medium systems
- Author: W. G. Gray
- Language: English
- Number of Pages: 582
- Publisher: Springer
- Publish Date: 2014
- Publish Location: Cham
“Introduction to the thermodynamically constrained averaging theory for porous medium systems” Subjects and Themes:
- Subjects: ➤ Thermodynamics - Mathematics - Porous materials - Mathematical models - Multiphase flow - Mineralogy - Earth sciences - Geography - GeologyxMathematics - Physical geography - Geophysics/Geodesy - Quantitative Geology
Edition Specifications:
- Pagination: xxxiv, 582 pages
Edition Identifiers:
- The Open Library ID: OL30387881M - OL22310746W
- Online Computer Library Center (OCLC) ID: 875346082
- Library of Congress Control Number (LCCN): 2014931385
- ISBN-13: 9783319040097 - 9783319040193
- ISBN-10: 331904009X
- All ISBNs: 331904009X - 9783319040097 - 9783319040193
AI-generated Review of “Introduction to the thermodynamically constrained averaging theory for porous medium systems”:
"Introduction to the thermodynamically constrained averaging theory for porous medium systems" Description:
The Open Library:
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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