Performance of Aged Asphalt Mixes Containing Waste Oil Shale Filler

Jweihan, Yazeed S.

doi:10.1007/s42947-023-00311-0

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…Mineral fillers are the proportion of blended aggregates in asphalt mixtures that passes through sieve No. 200 (<0.075 mm) and is suspended in bitumen to form mastic [13,38]. Previous studies indicated that incorporating cementitious types of mineral fillers in asphalt mixes could improve the moisture resistance, stability, and deformation resistance of the mixes [13,15,37,38].…”

Section: Moisture Damage Mechanisms and Common Influential Factorsmentioning

confidence: 99%

“…200 (<0.075 mm) and is suspended in bitumen to form mastic [13,38]. Previous studies indicated that incorporating cementitious types of mineral fillers in asphalt mixes could improve the moisture resistance, stability, and deformation resistance of the mixes [13,15,37,38]. However, increasing the filler contents in asphalt mixes could result in moisture damage.…”

Section: Moisture Damage Mechanisms and Common Influential Factorsmentioning

confidence: 99%

“…Some of the tests include immersed wheel-tracking configurations such as the Hamburg wheel-tracking test and the Asphalt Pavement Analyzer device [9,10], while others evaluate moisture damage by calculating the ratio of strength or stiffness of water-conditioned compacted Hot-Mix Asphalt (HMA) samples to that of unconditioned samples [4]. The latter includes several testing protocols such as the immersion-compression test, the resilient modulus test, the double-punch method, the tensile strength ratio (TSR) or modified Lottman (AASHTO T 283), the Retained Stability Index (RSI), and others [11][12][13][14]. Even though these testing procedures help compare the moisture susceptibility of different mixtures, they do not provide information about the proper characteristics of asphalt mixes.…”

Section: Introductionmentioning

confidence: 99%

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Empirical Model for the Retained Stability Index of Asphalt Mixtures Using Hybrid Machine Learning Approach

Jweihan,

Al-Kheetan,

Rabi

2023

ASI

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Moisture susceptibility is a complex phenomenon that induces various distresses in asphalt pavements and can be assessed by the Retained Stability Index (RSI). This study proposes a robust model to predict the RSI using a hybrid machine learning technique, including Artificial Neural Network (ANN) and Gene Expression Programming. The model is expressed as a simple and direct mathematical function with input variables of mineral filler proportion (F%), water absorption rate of combined aggregate (Ab%), asphalt content (AC%), and air void content (Va%). A relative importance analysis ranked AC% as the most influential variable on RSI, followed by Va%, F%, and Ab%. The experimental RSI results of 150 testing samples of various mixes were utilized along with other data points generated by the ANN to train and validate the proposed model. The model promotes a high level of accuracy for predicting the RSI with a 96.6% coefficient of determination (R2) and very low errors. In addition, the sensitivity of the model has been verified by considering the effect of the variables, which is in line with the results of network connection weight and previous studies in the literature. F%, Ab%, and Va% have an inverse relationship with the RSI values, whereas AC% has the opposite. The model helps forecast the water susceptibility of asphalt mixes by which the experimental effort is minimized and the mixes’ performance can be improved.

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Section: Moisture Damage Mechanisms and Common Influential Factorsmentioning

confidence: 99%

Section: Moisture Damage Mechanisms and Common Influential Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empirical Model for the Retained Stability Index of Asphalt Mixtures Using Hybrid Machine Learning Approach

Jweihan,

Al-Kheetan,

Rabi

2023

ASI

Self Cite

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“…The utilization of Superpave mixtures has been found to exhibit superior performance over Marshall mixtures in Jordan, even at varying loadings and different environmental conditions [29,31]. Thus, this research study adopted the Superpave mix design method AASHTO R35 [32] for mix design and sample preparations.…”

Section: Asphalt MIX Designmentioning

confidence: 99%

“…A tensile strength ratio (TRS) of 83.1% was determined for compacted samples at 7% air voids by following the AASHTO T283 standard method [33]. This approach of Superpave asphalt mix design has been followed in some previous studies, such as by Jweihan et al [31] and Asi [29].…”

Section: Asphalt MIX Designmentioning

confidence: 99%

Waste Not, Want Not: Sustainable Use of Anti-Stripping-Treated Waste Ceramic in Superpave Asphalt Mixtures

Al‐Kheetan

2023

Sustainability

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This research studied the sustainable utilization of waste ceramic in asphalt mixtures by substituting fine aggregate with treated and untreated waste ceramic produced from construction and demolition activities. To improve its adhesion to the asphalt binder and lower the moisture susceptibility of Superpave asphalt mixes, the waste ceramic was treated with a silane anti-stripping agent. The Marshall quotient (MQ), Marshall stability (MS), indirect tensile strength (ITS), retained Marshall stability (RMS), and tensile strength ratio (TSR) were used to assess the mechanical performance and moisture susceptibility of all mixes. The changes in the chemical composition, synergy, physical state, and microstructure of the studied composites were also investigated using Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). The results revealed that substituting fine aggregate with 50% silane-treated waste ceramics reduced permanent deformation by 46%. Moreover, integrating silane-treated ceramics reduced asphalt mixture moisture susceptibility, with an RMS value of 87.7% obtained for asphalt containing 75% treated ceramic particles. The application of a silane anti-stripping agent resulted in high adhesion between the ceramic particles and bitumen as well as the production of fewer air voids in the mixes due to the formation of strong CH aromatic linkages, as well as Si-O and Si-O-Si bonds. The possibility of employing waste ceramics in asphalt mixes as a sustainable alternative to virgin aggregates while decreasing environmental impacts and improving resource efficiency is highlighted in this paper.

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An experimental investigation of high-temperature thermochemical conversion of oil shale residues into valuable materials

Song,

Fu,

Zou

et al. 2024

Chemical Engineering Science

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Performance of Aged Asphalt Mixes Containing Waste Oil Shale Filler

Cited by 3 publications

References 21 publications

Empirical Model for the Retained Stability Index of Asphalt Mixtures Using Hybrid Machine Learning Approach

Empirical Model for the Retained Stability Index of Asphalt Mixtures Using Hybrid Machine Learning Approach

Waste Not, Want Not: Sustainable Use of Anti-Stripping-Treated Waste Ceramic in Superpave Asphalt Mixtures

An experimental investigation of high-temperature thermochemical conversion of oil shale residues into valuable materials

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