Enhancement of adhesive properties of road asphalts, waste oil processing products

Pivsaev, V. Yu.; Krasnikov, P. E.; Пименов, А. А.; Быков, Д.Е.

doi:10.1134/s0965544115010119

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…Bio-oils from soap stock was incorporated improve the adhesion property of biobinders obtained from vegetable oils. Here, improvements in the adhesion behavior of bitumen was achieved with oil contents between 0.9% and 1.1% (Pivsaev et al, 2015).…”

Section: Bio-oil Utilizationmentioning

confidence: 99%

Waste materials in highway applications: An overview on generation and utilization implications on sustainability

Bamigboye

Bassey

Olukanni

et al. 2021

Journal of Cleaner Production

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The rate at which the construction industry explores and consumes non-renewable natural aggregates and other industrial products such as bitumen, lime, and cement during construction and rehabilitation of road pavements has over time proven to be environmentally degrading and non-sustainable. This, alongside the issues of high solid waste generation and inadequate disposal, has led to series of studies by various researchers to find methods to integrate these solid wastes as alternative materials in road construction and maintenance. This paper provides a simple yet detailed review of recent relevant studies conducted to understand the alarming rate of generation and the effects of reusing these waste materials in both flexible and rigid pavements. The review further outlines the advantages and disadvantages of the selected waste materials and compare the results with that of conventional materials in accordance with relevant standards while highlighting the performance, and life cycle environmental and economic sustainability implications. The study shows that the adoption of these materials offers efficiency in waste disposal while reducing the demand for natural aggregates and consequently, significantly reducing life cycle impacts and costs. The challenges limiting the effective practical implementation of these waste recycling techniques in the construction industry were discussed and possible solutions were suggested to encourage and ensure its utilization in road construction.

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Section: Bio-oil Utilizationmentioning

confidence: 99%

Waste materials in highway applications: An overview on generation and utilization implications on sustainability

Bamigboye

Bassey

Olukanni

et al. 2021

Journal of Cleaner Production

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“…By taking IR CAPs of 33 original asphalt samples as verification samples, the discrimination effect obtained through the multinomial logistic regression model in multivariate statistical analysis was evaluated by applying formula (13).…”

Section: Validation Of Discriminatory Effect Of the Modelmentioning

confidence: 99%

“…Just like the human fingerprint information, these components which can express the unique structure of asphalt can be called the "oil fingerprint" of asphalt. It is because of the uniqueness of "oil fingerprint" information of asphalt that it is feasible to discriminate the oil fingerprints of asphalt from different crude oil sources [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Crude Oil Source Identification of Asphalt via ATR‐FTIR Approach Combined with Multivariate Statistical Analysis

Ren

Fan

Zhao

et al. 2020

Advances in Materials Science and Engineering

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The types of crude oil for producing asphalt have a decisive influence on various performance measures (including aging resistance and durability) of asphalt. To discriminate and predict the crude oil source of different asphalt samples, a discrimination model was established using 12 greatly different infrared (IR) characteristic absorption peaks (CAPs) as predictive variables. The model was established based on diverse fingerprint recognition technologies (such as principal component analysis (PCA) and multivariate logistic regression analysis) by using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). In this way, the crude oil source of different asphalt samples can be effectively discriminated. At first, by using PCA, the 12 CAPs in the IR spectra of asphalt samples were subjected to dimension reduction processing to control the variables of key factors. Moreover, the scores of various principal components in asphalt samples were calculated. Afterwards, the scores of principal components were analysed through modelling based on multivariate logistic regression analysis to discriminate and predict the crude oil source of different asphalt samples. The result showed that the logistic regression model shows a favourable goodness of fit, with the prediction accuracy reaching 93.9% for the crude oil source of asphalt samples. The method exhibits some outstanding advantages (including ease of operation and high accuracy), which is important when controlling the source and quality and improving the performance of asphalt.

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A systematic review of bio-asphalt for flexible pavement applications: Coherent taxonomy, motivations, challenges and future directions

Al-Sabaeei

Napiah

Sutanto

et al. 2020

Journal of Cleaner Production

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Enhancement of adhesive properties of road asphalts, waste oil processing products

Cited by 4 publications

References 1 publication

Waste materials in highway applications: An overview on generation and utilization implications on sustainability

Waste materials in highway applications: An overview on generation and utilization implications on sustainability

Crude Oil Source Identification of Asphalt via ATR‐FTIR Approach Combined with Multivariate Statistical Analysis

A systematic review of bio-asphalt for flexible pavement applications: Coherent taxonomy, motivations, challenges and future directions

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