Evaluation of hot mix asphalt resilient modulus based on aggregate morphological properties

Neham, Sahar S.; Ali, Rehana; Ashour, H. A.

doi:10.1088/1757-899x/433/1/012002

Cited by 3 publications

(2 citation statements)

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“…The resilient modulus of an asphalt concrete mixture is mainly affected by the morphology of coarse aggregates [19]. Research findings declared that aggregate gradation significantly influences the resilient modulus of HMA, followed by the shape and surface texture of aggregates [20].…”

Section: Figure 1 Hma Response During Loading [4]mentioning

confidence: 96%

Investigating the Effect of Gradation, Temperature and Loading Duration on the Resilient Modulus of Asphalt Concrete

et al. 2022

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This research was carried out to assess the effect of aggregate skeleton, temperature variation, and loading duration on the resilient modulus of asphalt concrete mixtures. Two different gradation methods, i.e., the conventional method of gradation and the Bailey method of gradation, were adopted to design the aggregate skeleton. The effect of these gradation methods, with temperature and loading duration, on the resilient modulus of asphalt concrete has not been previously investigated. The Modified Marshall Test was used to determine optimum binder content against 4% air voids, and then volumetric and strength parameters were calculated against optimum binder content. For performance tests, specimens were prepared at optimum binder content using a Superpave gyratory compactor. An indirect tensile strength test on both types of mixtures was conducted, and a 20% value of indirect tensile strength was kept for peak load, whereas 10% was kept for seating load for conducting resilient modulus tests. The tests were conducted at 100 and 300 ms duration loads under two different temperatures, i.e., 25 oC and 40 oC. The results declared that aggregate skeleton, temperature, and loading duration have a prominent effect on the resilient modulus of asphalt concrete mixtures. Bailey gradation mixtures disclosed higher resilient modulus values than conventional gradation mixtures. Higher values of resilient modulus were observed for both gradation mixtures at low temperatures and under small duration loads than at high temperatures and large duration loads. The results of the two-way factorial design also confirmed the above findings. Doi: 10.28991/CEJ-2022-08-02-07 Full Text: PDF

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Section: Figure 1 Hma Response During Loading [4]mentioning

confidence: 96%

Investigating the Effect of Gradation, Temperature and Loading Duration on the Resilient Modulus of Asphalt Concrete

et al. 2022

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“…The results showed a significant effect of morphological characteristics on the resilient modulus of the asphalt mixture. The shape and texture had also indicated a strong correlation with the gradation's sizes of aggregates [12]. The aggregate particle obtained through two-stage crushing indicated better results in the asphalt mixture [13].…”

Section: Introductionmentioning

confidence: 94%

Shape Characterizing of Aggregates Produced through Different Crushing Techniques

et al. 2021

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The aggregate shape properties produced from the different crushing techniques influence the performance properties of the asphalt mixtures. The objective of this study was to classify the aggregates into spherical, flat, elongated and flat, and elongated shapes, collected from impact crusher and jaw crusher of two sources, and to calculate the shape parameters, such as aspect ratio, shape factor, form factor, sphericity, roundness, and angularity index. In addition, this study also investigated the effects of this classification on the Marshall stability and volumetric properties of asphalt mixtures prepared from the respective shape of aggregates. The results showed that the aggregate of different fractions (passing 37.5 mm and retained on 4.75 mm) produced from the jaw crusher of Margalla quarry showed better shape parameters. The spherical aggregates collected from all crushers showed 20–30% higher Marshall stability of the blends by improving the mechanical and volumetric properties of the asphalt mixtures.

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Evaluation Model of Asphalt Mixture Road Performance Based on Data Mining

Sun

Gui-e

2020

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)

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Evaluation of hot mix asphalt resilient modulus based on aggregate morphological properties

Cited by 3 publications

References 1 publication

Investigating the Effect of Gradation, Temperature and Loading Duration on the Resilient Modulus of Asphalt Concrete

Investigating the Effect of Gradation, Temperature and Loading Duration on the Resilient Modulus of Asphalt Concrete

Shape Characterizing of Aggregates Produced through Different Crushing Techniques

Evaluation Model of Asphalt Mixture Road Performance Based on Data Mining

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