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"grain size distribution"

One of the major concern for the gas sequestration/storage feasibility in natural underground formations is the assessment of the sealing efficiency of the low-permeable sequences overlying potential storage formations. The sealing efficiency is quantified via the threshold pressure and/or residual pressure difference parameters; the experimental laboratory procedures for their evaluation have been widely...


The large use of nanomaterials in several industrial processes drove the attention toward the potential health issues associated to their diffusion in the environment. However, since nanomaterials are characterized by a polidisperse particle size distribution, the human health risk induced by a nanoparticle (NP) contamination cannot be assessed through the ASTM procedure commonly used for chemicals. Toxicity...


The wear phenomenon plays a fundamental role in excavation work, as it directly affects
times and costs. While prediction models are available in the literature for rock applications,
a standardized procedure for predicting wear is not yet available for soils. In this
work, the Soil Abrasion Test Apparatus (SATA) is used to study the wear dependence from
the moisture content. 6 different types of soils were tested by varying the moisture content
and results were obtained in terms of weight loss...
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ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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