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| Content Provider | Springer Nature Link |
|---|---|
| Author | Martín, Miguel Ángel Reyes, Miguel Taguas, F. Javier |
| Copyright Year | 2016 |
| Abstract | Information entropy dimension (ED) has been used earlier in the characterization of the particle size distribution (PSD) in complex multi-particle granular media. In this work the ED is first proposed as an indicator of the packing density on the basis of the theoretical based interpretation of the ED in the granular media PSD context. A one-parametric exact self-similar PSD model, where the information ED is known, together with a 2-D computational random packing algorithm, are used to test the ability of the ED as an indicator of packing density. It is found that the packing density increases when the ED does. Moreover, results show a strong linear dependence between packing density and the ED. Empirical results from a large soil data base also reinforce the computational results. As ED may be estimated from field or laboratory data, the above mentioned results suggest its use as an indicator of packing density in complex granular media and material science in order to predict their properties. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISSN | 14345021 |
| Journal | Granular Matter |
| Volume Number | 19 |
| Issue Number | 1 |
| e-ISSN | 14347636 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-12-07 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Particle size distribution Granular media Soil Packing density Information entropy Entropy dimension Soft and Granular Matter, Complex Fluids and Microfluidics Engineering Fluid Dynamics Materials Science Geoengineering, Foundations, Hydraulics Industrial Chemistry/Chemical Engineering Engineering Thermodynamics, Heat and Mass Transfer |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy Mechanics of Materials Materials Science |
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