Performance Evaluation of Hospital Waste Ash-Modified Asphalt Mixtures

Oguntayo, Daniel; Ogundipe, Oluwatomisin; Aladegboye, O. J.; Ogunkunbi, Gabriel Ayobami; Babatunde, Yusuf; Aransiola, Olawale

doi:10.1155/2023/6880766

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The coefficients of the polynomial model were calculated to fit the experimental data. The final regression model equations regarding significant factors are expressed in Equations [1]- [6]. Similar regression equations were reported by Lapian et al [3] and Wang et al [1].…”

Section: The Analysis Of Variance (Anova) and Regression Models For T...supporting

confidence: 62%

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RSM based modelling and optimization of Marshall properties of steel-slag and lime-modified asphalt mixtures

Daniel,

Olumide,

Oluwasegun

et al. 2024

Res. Eng. Struct. Mat.

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Statistical and optimization techniques are useful tools in understanding the interactions and relationships between the asphalt mix variables and the contribution of each variable to the resulting asphalt mixture properties. This study explores the response surface methodology to study the influence of steel slag and lime on the Marshall properties of asphalt mixtures using Box Behnken Design tool. The independent variables considered are steel slag (0-100%), lime (0-4%) and bitumen (4-8%). The stability, flow, Marshall quotients, bulk density, Vb and VMA obtained were 1.98-6.35 kN, 3.27-4.53 mm, 0.53-1.60 kN/mm, 2.08-2.29 kg/m3, 7.67-14.7% and 14.02-24.63%, respectively; indicating that the steel-slag and lime-modified asphalt mixtures satisfy the specification limits recommended by the asphalt institute and Nigeria General Specification for Roads and Bridges. The models' analysis of variance revealed could well predict the Marshall properties of the mixtures, and the terms of steel-slag, lime and bitumen content are significant. Likewise, based on the optimization analysis, 24.93% of steel slag, 2.43% of lime and 5.51% of bitumen content were selected as the optimal values for the modified asphalt mixtures. Additionally, a mean error of less than 5% was attained for all the responses, demonstrating the effectiveness of RSM in designing asphalt mixtures.

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Section: The Analysis Of Variance (Anova) and Regression Models For T...supporting

confidence: 62%

“…Incorporating various materials in the asphalt mix has been found suitable for transforming the mechanical and binding properties of asphalt. Modifying the asphalt mixes enhances the performance and increases the service life of asphalt pavement [5][6]. Steel slags are industrial waste from the production of steel.…”

Section: Introductionmentioning

confidence: 99%

RSM based modelling and optimization of Marshall properties of steel-slag and lime-modified asphalt mixtures

Daniel,

Olumide,

Oluwasegun

et al. 2024

Res. Eng. Struct. Mat.

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“…To provide excellent service, the asphalt mixtures must remain durable over their intended life span. However, the durability of the asphalt mixtures is seriously affected due to moisture-induced damage [12]. According to Soenen et al [13], one of the main reasons flexible pavements fails is their vulnerability to moisture, which lowers their durability.…”

Section: Introductionmentioning

confidence: 99%

Moisture susceptibility of waste ceramic tiles modified asphalt mixtures

Daniel,

Olumide,

Jemimah

et al. 2023

Res. Eng. Struct. Mat.

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Waste ceramic tiles have been recognized as viable in producing asphalt mixtures. However, the primary concern is the assurance of its durability, especially in terms of moisture damage. Therefore, this research aims to investigate the moisture susceptibility of asphalt mixtures incorporating waste ceramic tiles (WCT). The coarse aggregates of 25 mm size were partially replaced with WCT at 0%-50% proportions. The Marshall Method of mix design was used to calculate the optimum bitumen content (OBC) at various levels of WCT replacement. Utilizing the retained strength index (RSI) and tensile strength ratio (TSR) tests, the moisture susceptibility of the mixes compacted at OBC was assessed. The results indicate that the continuous increase of WCT leads to decreased TSR and RSI values. The RSI ranges from 91.10%-81.90%, 74.91%-61.07% and 47.89%-41.05% at 1, 3, and 7-day curing, respectively. The TSR ranges from 89.27-74.73%, 71.48-63.81% and 58.02-46.79% at 1, 3, and 7-day curing, respectively. Nevertheless, it was determined that the WCT-modified asphalt mixtures met the TSR and RSI standards for asphalt mixtures with satisfactory moisture resistivity performance at 1 and 3 days of curing. For satisfying performance of WCT-modified asphalt mixtures, the study recommends an optimum proportion of 30% WCT.

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