Suscripción a Biblioteca: Guest
International Journal for Multiscale Computational Engineering

Publicado 6 números por año

ISSN Imprimir: 1543-1649

ISSN En Línea: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

Upscaling of Permeability of Porous Materials: First Insight into the Effect of Pore-Space Characteristics

Volumen 8, Edición 1, 2010, pp. 103-112
DOI: 10.1615/IntJMultCompEng.v8.i1.80
Get accessGet access

SINOPSIS

The material phase "air'' (pore space) in porous materials determines the amount of fluid flow into and through the material and, hence, the time scale of physical/chemical degradation processes in durability aspects of materials and structures. Hereby, the pore-space characteristics, such as pore-size distribution and pore arrangement, both being accessible via respective experimental techniques, influence the transport properties of the material. In this paper, this influence is investigated within the multiscale framework, employing a so-called random pore-network model. Hereby, random arrangements of prescribed pore-size distributions are modeled, giving - under the assumption of steady-state flow conditions - access to the macroscopic permeability of the material. More specifically, three idealized pore-size distributions, i.e., (i) two different radii and (ii) constant and (iii) normal pore-size distribution, are investigated by means of several sets of network configurations. From the obtained results, both mean value and standard deviation of the macroscopic permeability corresponding to a certain pore-size distribution are determined, giving new insight into the impact of pore-space characteristics on the permeability and its variation in porous materials.

REFERENCIAS
  1. Carmeliet, J., Descamps, F., and Houvenaghel, G., A multiscale network model for simulating moisture transfer properties of porous media.

  2. Galle, C. and Daian, J. F., Gas permeability of unsaturated cement-based materials: Application of a multi-scale network model. DOI: 10.1680/macr.2000.52.4.251

  3. Garboczi, E. J. and Bentz, D. P., Modelling of the microstructure and transport properties of concrete. DOI: 10.1016/0950-0618(94)00019-0

  4. March and , J. and Gerard, B., Microstructure-based models for predicting transport.

  5. Mehta, P. K. and Manmohan, C., Pore size distribution and permeability of hardened cement paste.

  6. Sandouki, H. and van Mier, J. G. M., Meso-level analysis of moisture flow in cement composites using a lattice-type approach. DOI: 10.1007/BF02486899

  7. Sutera, S. P. and Skalak, R., The history of Poiseuille's law. DOI: 10.1146/annurev.fl.25.010193.000245

  8. Wikipedia, en.wikipedia.org/wiki/Hagen-Poiseuille_equation.

  9. Ye, G., Lura, P., and van Breugel, K., Modelling of water permeability in cementitious materials. DOI: 10.1617/s11527-006-9138-4

  10. Zeiml, M., Concrete subjected to fire loading — from experimental investigation of spalling and mass-transport properties to structural safety assessment of tunnel linings under fire.

CITADO POR
  1. Timothy Jithender J., Meschke Günther, A micromechanics model for molecular diffusion in materials with complex pore structure, International Journal for Numerical and Analytical Methods in Geomechanics, 40, 5, 2016. Crossref

  2. Cygan Randall T., Daemen Luke L., Ilgen Anastasia G., Krumhansl James L., Nenoff Tina M., Inelastic Neutron Scattering and Molecular Simulation of the Dynamics of Interlayer Water in Smectite Clay Minerals, The Journal of Physical Chemistry C, 119, 50, 2015. Crossref

  3. Greathouse Jeffery A., Hart David B., Bowers Geoffrey M., Kirkpatrick R. James, Cygan Randall T., Molecular Simulation of Structure and Diffusion at Smectite–Water Interfaces: Using Expanded Clay Interlayers as Model Nanopores, The Journal of Physical Chemistry C, 119, 30, 2015. Crossref

Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones Precios y Políticas de Suscripcione Begell House Contáctenos Language English 中文 Русский Português German French Spain