Traditional volumetric asphalt mix design methods do not directly evaluate cracking and rutting resistance, which may result in mixtures with inadequate field performance despite satisfying conventional volumetric requirements. Balanced Mix Design (BMD) has been introduced to address this limitation by incorporating performance testing. However, it remains unclear whether additive modification alone can recover mixtures that do not satisfy BMD criteria, or whether volumetric redesign (binder content optimization) is necessary. Therefore, this study investigated the effectiveness of additive modification before and after BMD redesign using IDEAL-CT and IDEAL-RT performance indices. Three additive systems were evaluated: SBS polymer, nano-silica, and hybrid modification. Performance threshold values for CT and RT Indices were established using a percentile-based statistical approach derived from an experimental database of 18 asphalt mixtures prepared with different aggregate gradations, filler types, and asphalt binder contents. The 25th percentile (P25) was adopted as the minimum performance criterion. The experimental program consisted of three evaluation cases. The first case investigated the ability of additives to recover initially performance-deficient mixtures before and after BMD redesign. Results showed that additive incorporation alone was insufficient to recover deficient mixtures and, in some cases, reduced cracking resistance due to excessive stiffness. However, after BMD redesign, the modified mixtures achieved balanced cracking and rutting performance above the adopted threshold values. The second case, based on a single initially compliant mixture, suggested that additives may be more effective when applied to mixtures that already satisfy performance requirements; however, this observation is preliminary and requires validation with a broader range of passing mixtures. The hybrid modification system provided the best overall balance. The third case isolated the effect of SBS polymer after BMD redesign using paired t-tests and Cohen’s d analysis. Statistical results confirmed a significant and very large positive effect of polymer modification on rutting resistance, whereas the effect on cracking resistance depended strongly on filler type. Overall, the findings indicate that additive modification cannot reliably compensate for deficient mixture design, while the combination of BMD redesign and additive modification can successfully achieve balanced performance. In addition, filler characteristics were found to play a critical role in controlling modifier effectiveness. These findings are based on a limited number of mixtures and additive combinations, and the proposed thresholds (CT ≥ 52, RT ≥ 44) should be validated using independent datasets before general application.
In this article four samples of HgBa2Ca2Cu2.4Ag0.6O8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa2Ca2Cu2.4Ag0.6O8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I
... Show MoreDesign sampling plan was and still one of most importance subjects because it give lowest cost comparing with others, time live statistical distribution should be known to give best estimators for parameters of sampling plan and get best sampling plan.
Research dell with design sampling plan when live time distribution follow Logistic distribution with () as location and shape parameters, using these information can help us getting (number of groups, sample size) associated with reject or accept the Lot
Experimental results for simulated data shows the least number of groups and sample size needs to reject or accept the Lot with certain probability of
... Show MoreThis paper describes a new finishing process using magnetic abrasives were newly made to finish effectively brass plate that is very difficult to be polished by the conventional machining processes. Taguchi experimental design method was adopted for evaluating the effect of the process parameters on the improvement of the surface roughness and hardness by the magnetic abrasive polishing. The process parameters are: the applied current to the inductor, the working gap between the workpiece and the inductor, the rotational speed and the volume of powder. The analysis of variance(ANOVA) was analyzed using statistical software to identify the optimal conditions for better surface roughness and hardness. Regressions models based on statistical m
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