Performance of GLASS WOOL FIBERS in ASPHALT CONCRETE Mixtures

Mrema, Agathon Honest; Noh, Sihyeon; Lee, Jaejun; Kwon, Oh-Seok

doi:10.20944/preprints202009.0570.v1

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…Past researcher studies shows that the glass wool fibers interaction with aggregates in AC mixtures resulted in good manner as the tensile strength increased and higher durability of the asphalt mixture. As stated, condition proved with good condition of the fibers after an interaction with both aggregates and binder after Indirect Tensile Strength application [14].…”

Section: Scanning Electron Microscopy (Sem)mentioning

confidence: 55%

A Review of Morphological and Chemical Properties of Porous Asphalt

2021

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Porous asphalt mixture is also known as gap graded mixture with less amount of fine aggregate has led the mixture contains high air voids, tends to make the mixture less durable and high porousity. Hence, past researchers has investigate on how to increase the strength of porous asphalt mixture by the addition of additive such as fiber and nanomaterials. The chemical and physical properties of porous asphalt mixture was highlighted in this paper to compare its structure, the bonding between the materials and its chemical composition that exist. This paper reviews on how additive affect the asphalt mixture in terms of Scanning Electron Microscopy (SEM), X-Ray Diffractions (XRD) and Fourier Transform Infrared Spectroscopy (FTIR). These tests are selected to improve the asphalt mixture according to the morphological and chemical properties of porous asphalt. This study is expected to identify the morphological and chemical composition of the materials in asphalt mixture.

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Section: Scanning Electron Microscopy (Sem)mentioning

confidence: 55%

A Review of Morphological and Chemical Properties of Porous Asphalt

2021

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“…Heavy traffic loads and adverse environmental or weather conditions are to blame for these annoyances. Distresses on road pavements might lead to the structure of the pavement failing [2]. Incorporating additives is one of the important strategies for enhancing the quality of pavement structures and reducing distresses -related problems.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Binder Content in Glass Fiber Reinforced Asphalt Mix Using Machine Learning Techniques

et al. 2022

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Several researchers have been reported the results of adding a variety of fibers to asphalt concrete described as fiber-reinforced asphalt concrete FRAC. This research paper finds the most suitable prediction model for Marshall Stability and the optimistic bitumen content useful in glass fiber reinforced asphalt mix by performing Marshall Stability tests and further analyzing the data in consonance with published research. Four machine learning approaches were used to find the best prediction model: Artificial Neural Network, Support-Vector-Machine, Gaussian-Process, and Random-Forest. Seven statistical metrics were used to evaluate the performance of the applied models i.e., Coefficient-of-correlation (CC), Mean-Absolute-Error (MAE), Root mean squared error (RMSE), Relative absolute error (RAE), Root relative squared error (RRSE), Scattering index (SI), and (BIAS). Test results of testing stage indicated that the Support Vector Machine (SVM_PUK) model performs the best in validation amongst all applied models with CC values as 0.8776 MAE as 1.2294, RMSE as 1.9653, RAE as 38.33%, RRSE as 55.22%, SI as 1.0648 and BIAS as 0.5005. The Taylor diagram of the testing dataset also confirms that the model based on SVM outperforms the other models. Results of sensitivity analysis show that the bitumen content of about 5% has a significant effect on the Marshall Stability.

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Feasibility Assessment of Mudstone Aggregate as an Alternative Material for Colored Asphalt Pavement in South Korea

Kim,

Elipse

2024

Applied Sciences

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Colored asphalt pavements have been implemented in South Korea to enhance visibility and lane distinction; however, color fading, accelerated deterioration, and increased pothole occurrence have been noticed. As a solution, alternative materials that can be used for the construction of colored asphalt pavements are being explored. This study evaluates the feasibility of using mudstone aggregate in constructing colored asphalt pavement in South Korea. Initially, aggregate quality tests were conducted on mudstone samples to assess their suitability compared to standard criteria. To enhance the visibility and color retention of colored asphalt, addition of pigment in the colored asphalt pavement mixture was considered and evaluated. The asphalt mixtures were evaluated for deformation, crack and viscoelastic properties using the Kim test, indirect tensile (IDT) strength test, and dynamic modulus test, respectively. Results showed that mudstone aggregate exceeded quality standards and the colored asphalt mixtures demonstrated superior deformation strength and crack resistance compared to typical SMA. However, the addition of pigment slightly reduced these properties. Overall, the findings suggest mudstone aggregate as a viable alternative for constructing colored asphalt pavements, offering potential improvements in durability and color retention.

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Performance of GLASS WOOL FIBERS in ASPHALT CONCRETE Mixtures

Cited by 8 publications

References 7 publications

A Review of Morphological and Chemical Properties of Porous Asphalt

A Review of Morphological and Chemical Properties of Porous Asphalt

Prediction of Binder Content in Glass Fiber Reinforced Asphalt Mix Using Machine Learning Techniques

Feasibility Assessment of Mudstone Aggregate as an Alternative Material for Colored Asphalt Pavement in South Korea

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