Evaluation of the performance and temperature susceptibility of gilsonite- and SBS-modified asphalt binders

Mirzaiyan, Danial; Ameri, Mahmoud; Amini, Amir; Sabouri, Mohammadreza; Norouzi, Amirhossein

doi:10.1016/j.conbuildmat.2019.02.145

Cited by 54 publications

(22 citation statements)

References 22 publications

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“…Physical properties of gilsonite: a black and breakable mineral, which is simply crushed into powder [12], and used in numerous industrial contexts [15]. Table 1 illustrates the physical properties of gilsonite.…”

Section: Characterisation Of the Gilsonitementioning

confidence: 99%

“…At the start of the process, the natural asphalt binder must be separated from the underground stone reservoir and exploited through ground layer failures. It may undergo steady solidification and oxidization, ending up as a solid and hard-mineral asphalt binder if it stayed underground or near the ground surface [14,15]. Gilsonite is found abundantly mainly in Iran and America, and can simply be mixed with asphalt binder as a result of their comparable structures [16].…”

Section: Characterisation Of the Gilsonitementioning

confidence: 99%

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A Review on Improving Asphalt Pavement Service Life Using Gilsonite-Modified Bitumen

et al. 2021

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Hot mix asphalt has various benefits such as good workability and durability. It is one of the most general materials used as asphalt mixtures in road pavements. Asphalt mixtures and binders can be improved by modifying them with various additives. Gilsonite is a natural asphalt hydrocarbon which may be used as an additive to hot mix asphalt. It is used as an asphalt binder modifier (wet process) and an asphalt mixture modifier (dry process) to improve the properties of the mix. It provides the option of improved rheological properties, stability, strength rutting resistance and moisture sensitivity. This paper examines the current research relating to the use of gilsonite to improve the asphalt properties (binder and mixture). The rheological properties of the modified asphalt binders and mechanical properties of the modified asphalt mixtures will be reviewed. The influence of adding gilsonite individually or combined with other additives will be discussed. Furthermore, assessment of the environmental and economic perspectives of the studied asphalt along with some suggestions to improve the asphalt binders and mixtures will be explored.

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Section: Characterisation Of the Gilsonitementioning

confidence: 99%

Section: Characterisation Of the Gilsonitementioning

confidence: 99%

A Review on Improving Asphalt Pavement Service Life Using Gilsonite-Modified Bitumen

et al. 2021

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“…Nevertheless, they are fully connected with every neuron in the next adjacent layer. e eigenvector X, as expressed by equation (13), is imported into the input layer that contains 512 neurons. Equation (14) describes an element in X. e output value is obtained by equation (15) based on its corresponding input value.…”

Section: Architecture Of Dnnmentioning

confidence: 99%

“…However, there is a need to improve this technology for quantifying the SBS content accurately. Several researchers have suggested that an accurate and effective method for quantifying the SBS content in modified asphalt could be proposed based on the Fouriertransform infrared spectroscopy (FTIR) test [12][13][14]. To identify the C�C bond in butadiene and determine the existence of styrene, 966 and 699 cm − 1 bands are adopted, respectively [15].…”

Section: Introductionmentioning

confidence: 99%

SBS Content Detection for Modified Asphalt Using Deep Neural Network

Wang¹,

Zhang

et al. 2020

Advances in Materials Science and Engineering

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This study proposes a prediction model for accurately detecting styrene-butadiene-styrene (SBS) content in modified asphalt using the deep neural network (DNN). Traditional methods used for evaluating the SBS content are inaccurate and complicated because they are prone to produce errors by manual computation. Feature data of SBS content are derived from the spectra, which are obtained by the Fourier-transform infrared spectroscopy test. After designing DNN, preprocessed feature data are utilized as training and testing data and are fed into the DNN via a feature matrix. Furthermore, comparative studies are conducted to verify the accuracy of the proposed model. Results show that the mean square error value decreased by 68% for DNN with noise and dimension reduction. The DNN-based prediction model showed that the correlation coefficient between the target value and the mean predicted value is 0.9978 and 0.9992 for training and testing samples, respectively, indicating its remarkable accuracy and applicability after training. In comparison with the standard curve method and the random forest method, the precision of DNN is greater than 98% for the same test conditions, achieving the best predicting performance.

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“…The SBS-rich phase forms, a rubbery supporting network is created in the blended bitumen, which produced the Heightened complex modulus and viscosity enhanced elastic response and development cracking resistance at low temperatures of SBS blended bitumen [13], also produced growth in rheological properties such as increase the softening point, viscosity and decrease the penetration grade [14,15]. Figure 1 shows Fluorescent images of SBS modified asphalt with various contents of SBS [16].…”

Section: Introductionmentioning

confidence: 99%

Marshall Performance and Volumetric Properties of Styrene-Butadiene-Styrene Modified Asphalt Mixtures

Jasim

Ismael

2021

Civ Eng J

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The durability of asphalt pavement is associated with the properties and performance of the binder. This work-study intended to understand the impact of blending Styrene-Butadiene-Styrene (SBS) to conventional asphalt concrete mixtures and calculating the Optimum Asphalt Content (OAC) for conventional mixture also; compare the performance between SBS modified with the conventional mixture. Two different kinds of asphalt penetration grades, A.C. (40-50) and A.C. (60-70), were improved with 2.5 and 3.5% SBS polymer, respectively. Marshall properties were determined in this work. Optimum Asphalt Content (OAC) was 4.93 and 5.1% by weight of mixture for A.C. (40-50) and (60-70), respectively. Marshall properties results show an increasement in the stability value by 8.65 and 20.19% for A.C. (40-50) with 2.5 and 3.5% of SBS, respectively. And an increasement by 9.32 and 20.61% for AC (60-70) with 2.5 and 3.5% of SBS respectively. Furthermore, the results indicate a decrease in Marshall flow by 14.7 and 26.47% for A.C. (40-50) with 2.5 and 3.5% SBS respectively and a decrease by 10.46 and 21.21% for A.C. (60-70) with 2.5 and 3.5% SBS respectively. Other Marshall properties were also calculated. Moreover, Blending SBS polymers to conventional asphalt mixtures produces a better performance to asphalt binder and better Marshall properties, which provides a great solution to Iraqi road problems affected by temperature and high traffic load, including less maintenance. Doi: 10.28991/cej-2021-03091709 Full Text: PDF

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Evaluation of the performance and temperature susceptibility of gilsonite- and SBS-modified asphalt binders

Cited by 54 publications

References 22 publications

A Review on Improving Asphalt Pavement Service Life Using Gilsonite-Modified Bitumen

A Review on Improving Asphalt Pavement Service Life Using Gilsonite-Modified Bitumen

SBS Content Detection for Modified Asphalt Using Deep Neural Network

Marshall Performance and Volumetric Properties of Styrene-Butadiene-Styrene Modified Asphalt Mixtures

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