Modified Asphalt Mixtures Resistance to Permanent Deformations

Radziszewski, Piotr

doi:10.3846/13923730.2007.9636451

Cited by 60 publications

(28 citation statements)

References 5 publications

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“…(3)(4)(5)(6). ܴ = ሼ‫ݔ‬ , ݀ ሽ is used to assume a set of data points, where ‫ݔ‬ indicates the input space vector of the data sample, and the target value and data size are defined as ݀ and n respectively.…”

Section: Support Vector Machinementioning

confidence: 99%

“…The construction of pavement structure with modified characteristics that can offer better performance as well as longer service life is one of the goals of road engineers and designers. Hence, many studies have been previously performed to evaluate asphalt pavement performance with modified characteristics [2][3][4][5][6][7]. However, although using virgin modifiers in road pavement can improve pavement properties, in many cases it incurs higher financial costs.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm

et al. 2015

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Predicting asphalt pavement performance is an important matter which can save cost and energy. To ensure an accurate estimation of performance of the mixtures, new soft computing techniques can be used. In this study, in order to estimate the stiffness property of Polyethylene Terephthalate (PET) modified asphalt mixture, different soft computing methods were developed, namely: support vector machine-firefly algorithm (SVM-FFA), genetic programming (GP), artificial neural network (ANN) and support vector machine. The Support Vector Machine-Firefly algorithm (SVM-FFA) is a metaheuristic search algorithm developed according to the socially dashing manners of fireflies in nature. To develop the models, experiments were performed. The process, which simulates the mixtures' stiffness, was created with a soft computing method, the inputs being PET percentages, stress levels and environmental temperatures. The performance of the proposed system was confirmed by the simulation results. Soft computing methodologies show very good learning and prediction capabilities and the results obtained in this study indicate that the SVM-FFA contributed the most significant effect on stiffness performance estimation since the SVM-FFA model had a better correlation coefficient than the SVM, ANN and GP approaches. R 2 and RMSE were utilized for making comparisons between the expected and actual values of SVM-FFA, GP, ANN and SVM. The proposed SVM-FFA methodology predicted the output values with 254.4743 (mm/day) and 0.9957 RMSE and R 2 respectively.

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Section: Support Vector Machinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED: Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm

et al. 2015

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“…Although asphalt binder characterization shows some acceptable properties for this additive in terms of research responses, the authors recommend the evaluation of the detailed effects of the Rediset content on the properties of asphalt mixtures as well as its other rheological effects on asphalt binders properties. Since fatigue cracking is the main form of structural damage in flexible pavements (Nejad et al 2013) and permanent deformations, primarily in the form of ruts, are one of the basic asphalt pavement damages (Radziszewski 2007), the authors recommend evaluating the effects of Rediset content on the fatigue and rutting properties of warm asphalt mixtures using RSM.…”

Section: Discussionmentioning

confidence: 99%

A quick approach for rheological evaluation of warm asphalt binders using response surface method

Hamzah

Golchin

Woodward³

2017

Journal of Civil Engineering and Management

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This paper describes a quick approach for quantification of the effects of a chemical warm named Rediset, and its interactions with temperature and aging on the rheological properties of asphalt binders using Response Surface Method. The central composite method was applied to design experimental programs for three test temperature conditions, namely; very high temperature (120-180 °C), high temperature (46-82 °C), and intermediate temperature (19-31 °C). Rotational viscosity, G*/sin δ and G*sin δ were selected as parameters to assess the effects of the chemical warm additive on the rheological properties of asphalt binders for different aging conditions. Evaluation of the effects of this additive on the transformed value of G*/sin δ at high temperatures indicates that additive content has significant effect on Ln(G*/sin δ). The results for intermediate temperatures show that this additive has a positive effect on G*sin δ of asphalt binders.

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“…Permanent deformation depends on the type of asphalt mixture and the bitumen used in the process. Asphalt concrete with rubberized bitumen, asphalt concrete with 7 % polymer modified bitumen and SMA as well as Superpave mixtures with unmodified bitumen appear to be the most resistant to the permanent deformations after long-term laboratory aging [11] Conventional and five modified asphalt mixtures were studied on hot mix asphalt permanent deformation resistance by Süreyya Tayfur et al Amorphous polyalphaolefin, cellulose fiber, polyolefin, bituminous cellulose fiber and styrene butadiene styrene were used as modifiers. Indirect tensile strength, indirect tensile, static and repeated creep and The French Rutting Tester (Laboratoire Central des Ponts et Chaussées); LCPC wheel tracking tests were used for different loading conditions and temperatures.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of nanoclay on rutting and fatigue resistance of bitumen binder

Jahromi

Ahmadi

Vossugh

et al. 2012

International Journal of Materials Research

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Effects of nanoclay on rutting and fatigue resistance of bitumen binderNanoclays are a new generation of processed clays of interest in a wide range of high performance composites. Nanoclay is defined as clay that can be modified to make the clay complexes compatible with organic monomers and polymers. Here, it can be said that polymeric nanocomposites are among the most exciting and promising classes of materials discovered recently. A number of physical properties are enhanced successfully when a polymer is modified with a small amount of nanoclay on condition that the clay is dispersed at the nanoscopic level. This research has accomplished a comparative rheological test on unmodified and nanoclay modified bitumen. For this, two types of nanoclay were used: Nanofill-15 and Cloisite-15A. X-ray diffraction has been used to study the nanostructure exfoliation of nanoclay platelets in bitumen. The results show that compared to unmodified bitumen, the nanoclay modification leads to changes in rheological parameters by increasing stiffness and decreasing the phase angle, hence it can also reduce aging effects in bitumen. Further, comparison of the rutting parameter (G*/sin d) shows that the nanoclay modification could increase the rutting resistances of bitumen and the improvement is dependent upon the type and amount of nanoclay. The fatigue resistance parameter (G*/sin d) at low to medium temperatures shows that the nanoclay modification reduces the fatigue life, however it exhibits the same fatigue life as that of the unmodified bitumen after a particular aging condition.

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Modified Asphalt Mixtures Resistance to Permanent Deformations

Cited by 60 publications

References 5 publications

RETRACTED: Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm

RETRACTED: Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm

A quick approach for rheological evaluation of warm asphalt binders using response surface method

Effects of nanoclay on rutting and fatigue resistance of bitumen binder

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