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R. Neves

Researcher at Instituto Politécnico Nacional

Publications -  31
Citations -  1067

R. Neves is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Carbonation & Corrosion. The author has an hindex of 14, co-authored 30 publications receiving 804 citations. Previous affiliations of R. Neves include Instituto Superior Técnico.

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Carbonation behaviour of recycled aggregate concrete

TL;DR: In this paper, the effect of incorporating recycled aggregates, sourced from construction and demolition waste, on the carbonation behavior of concrete is reviewed and a statistical analysis is presented on the effect that introducing increasing amounts of recycled aggregate concrete on carbonation depth and coefficient of accelerated carbonation is presented.
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Corrosion Behavior of Stainless Steel Rebars Embedded in Concrete: an Electrochemical Impedance Spectroscopy Study

TL;DR: In this paper, the electrochemical behavior of duplex and austenitic stainless steels was studied by Electrochemical Impedance Spectroscopy (EIS) and open circuit potential (OCP) measurements.
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Statistical analysis of the carbonation coefficient in open air concrete structures

TL;DR: In this paper, a statistical study is presented to enable a better evaluation of carbonation depth and concrete age in open air concrete structures, based on the results of over 100 measurements taken on existing structures up to 99 years old.
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Compressive behaviour of steel fibre reinforced concrete

TL;DR: In this paper, an experimental study to investigate the influence of matrix strength, fibre content and diameter on the compressive behaviour of steel fibre reinforced concrete is presented. But the authors did not consider the effect of fiber volume, length and diameter.
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Field assessment of the relationship between natural and accelerated concrete carbonation resistance

TL;DR: In this paper, the relationship between natural and accelerated concrete carbonation resistance has been investigated and different factors, according to exposure classes, were determined by linear regression analysis to correlate accelerated and natural carbonation coefficients.