Mineral fillers are a fundamental component of asphalt mastic and play a critical role in governing the mechanical performance and durability of flexible pavements. Variations in filler type and dosage can substantially alter mastic stiffness, deformation resistance, fatigue behavior, and adhesion. The objective of this study is to systematically evaluate the influence of mineral filler type and filler-to-asphalt (F/A) ratio on the rheological, fatigue, and adhesive performance of asphalt mastics. Three commonly used fillers; limestone dust, Portland cement, and hydrated lime were investigated at four F/A ratios (0.6, 0.8, 1.0, and 1.2). A comprehensive experimental program was conducted, including conventional binder characterization, Multiple Stress Creep Recovery (MSCR) testing for rutting resistance, Linear Amplitude Sweep (LAS) testing for fatigue performance, and the Blister Method for adhesive bond strength evaluation. Volumetric analysis and scanning electron microscopy (SEM) were employed to support interpretation of filler packing behavior and particle morphology. Statistical analysis using two-way analysis of variance (ANOVA) confirmed that both filler type and filler content significantly influence all evaluated performance indicators. Hydrated lime markedly improved rutting resistance and bond strength but caused severe reductions in fatigue life at higher dosages due to excessive stiffness. In contrast, Portland cement and limestone provided more balanced performance, particularly at intermediate F/A ratios. A Grey Decision Theory (GDT) analysis integrating permanent strain, fatigue life, and bond strength identified the Portland cement mastic at an F/A ratio of 0.8 as the optimal formulation. Future studies are recommended to extend this approach to different binder grades, polymer-modified asphalts, and environmental conditions to further generalize the findings and support performance-based mastic design.
Terrestrial laser scanners (TLSs) are 3D imaging systems that provide the most powerful 3D representation and practical solutions for various applications. Hence this is due to effective range measurements, 3D point cloud reliability, and rapid acquisition performance. Stonex X300 TOF scanner delivered better certainty in far-range than in close-range measurements due to the high noise level inherent within the data delivered from Time of Flight (TOF) scanning sensors. However, if these errors are manipulated properly using a valid calibration model, more accurate products can be obtained even from very close-range measurements. Therefore, to fill this gap, this research presents a user-oriented target-based calibration routi
... Show MoreThe designer must find the optimum match between the object's technical and economic needs and the performance and production requirements of the various material options when choosing material for an engineering application. This study proposes an integrated (hybrid) strategy for selecting the optimal material for an engineering design depending on design requirements. The primary objective is to determine the best candidate material for the drone wings based on Ashby's performance indices and then rank the result using a grey relational technique with the entropy weight method. Aluminum alloys, titanium alloys, composites, and wood have been suggested as suitable materials for manufacturing drone wings. The requirement
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