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Finite element/percolation theory modelling of the micromechanical behavior of clayey soils

Overview of attention for article published in SpringerPlus, March 2015
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9 Mendeley
Title
Finite element/percolation theory modelling of the micromechanical behavior of clayey soils
Published in
SpringerPlus, March 2015
DOI 10.1186/s40064-015-0887-9
Pubmed ID
Authors

M Luz Pérez-Rea, Jaime Horta-Rangel, Teresa López-Lara, Juan B Hernández-Zaragoza, Sergio M Alcocer, Victor M Castaño

Abstract

A hybrid model for soils, which combines percolation theory and finite element method is presented. The internal soil structure is modelled via the finite element method, and percolation networks are used for analyzing its mechanical behaviour. Through a microscopic characterization of elastic properties of soil grains, the model is generated. The effective percolation threshold obtained is lower than that of the network geometric percolation. The effective mechanical properties predicted are successfully compared to published experimental results.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 11%
Belgium 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Unspecified 1 11%
Professor 1 11%
Librarian 1 11%
Student > Ph. D. Student 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Engineering 3 33%
Unspecified 1 11%
Arts and Humanities 1 11%
Chemistry 1 11%
Physics and Astronomy 1 11%
Other 0 0%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2015.
All research outputs
#15,327,280
of 22,797,621 outputs
Outputs from SpringerPlus
#932
of 1,851 outputs
Outputs of similar age
#157,017
of 263,390 outputs
Outputs of similar age from SpringerPlus
#40
of 62 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.