Introduction to modeling of transport phenomena in porous media [Libro electrónico] / Jacob Bear and Yehuda Bachmat
Por: Bear, Jacob [autor/a].
Bachmat, Yehuda [autor/a].
Tipo de material: Libro en línea Series Editor: The Netherlands: Kluwer Academic Publishers, c1990Descripción: xxiv, 554 páginas : ilustraciones ; centímetros.ISBN: 079231106X; 9780792311065; 9789400919266 (Online).Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía: páginas 527-521 e índice: páginas 541-553 Número de sistema: 56781Resumen:Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|
Libros | Biblioteca Electrónica Recursos en línea (RE) | Acervo General | Recurso digital | ECO400567815979 |
Incluye bibliografía: páginas 527-521 e índice: páginas 541-553
Disponible para usuarios de ECOSUR con su clave de acceso
The main purpose of this book is to provide the theoretical background to engineers and scientists engaged in modeling transport phenomena in porous media, in connection with various engineering projects, and to serve as a text for senior and graduate courses on transport phenomena in porous media. Such courses are taught in various disciplines, e. g. , civil engineering, chemical engineering, reservoir engineering, agricultural engineering and soil science. In these disciplines, problems are encountered in which various extensive quantities, e. g. , mass and heat, are transported through a porous material domain. Often the porous material contains several fluid phases, and the various extensive quantities are transported simultaneously throughout the multiphase system. In all these disciplines, management decisions related to a system's development and its operation have to be made. To do so, the 'manager', or the planner, needs a tool that will enable him to forecast the response of the system to the implementation of proposed management schemes. This forecast takes the form of spatial and temporal distributions of variables that describe the future state of the considered system. Pressure, stress, strain, density, velocity, solute concentration, temperature, etc. , for each phase in the system, and sometime for a component of a phase, may serve as examples of state variables. The tool that enables the required predictions is the model. A model may be defined as a simplified version of the real (porous medium) system that approximately simulates the excitation-response relations of the latter. eng
Disponible en línea
Disponible en formato PDF
Subscripción a ELSEVIER 26 de diciembre del 2013