rdlc 2018
DOI: 10.7764/rdlc.17.2.330
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Evaluation of natural additives for warm asphalt mix

Abstract: Asphalt professionals in Cuba, taking as a line of work the sustainability of pavements, are involved in the methods for obtaining warm asphalt mixtures, as a technology to achieve construction efficiency, conservation of resources and the environment without affecting the mechanical performance of hot asphalt mixes. On this basis, two fundamental lines have been investigated to obtain this type of mixtures, using natural resources of existence in the country: the natural zeolites of the Tasajera deposit and t… Show more

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Cited by 4 publications
(9 citation statements)
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“…(i) The stellar populations in ETGs belonging to CGs present the same behavior as ETGs in the field following the analysis of the parameters Age, [Z/H] and [α/Fe], indicating that spatial density is not responsible for establishing the stellar content of these systems. We do not confirm the truncation in star formation observed by de La Rosa et al (2007). It is worthy to note that the results shown by de La Rosa et al (2007) are based in a rather small sample composed of 22 ETGs in CGs.…”
Section: Discussioncontrasting
confidence: 99%
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“…(i) The stellar populations in ETGs belonging to CGs present the same behavior as ETGs in the field following the analysis of the parameters Age, [Z/H] and [α/Fe], indicating that spatial density is not responsible for establishing the stellar content of these systems. We do not confirm the truncation in star formation observed by de La Rosa et al (2007). It is worthy to note that the results shown by de La Rosa et al (2007) are based in a rather small sample composed of 22 ETGs in CGs.…”
Section: Discussioncontrasting
confidence: 99%
“…The ratios are determined using the indices measured from the spectra produced using the model from Vazdekis et al (2010) customised for a set of velocity dispersions (50 -350 km/s). Our correction is in excellent agreement with those applied by de La Rosa et al (2007), which use the models from Vazdekis (1999).…”
Section: Spectral Indexsupporting
confidence: 83%
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