Reclaimed asphalt pavement (RAP) has been widely implemented in construction due to its cost benefits along with reasonable engineering performance. With the trend of higher RAP applications, it is more critical consider complicated interactions between and virgin binders. An unreasonable assumption full blending material could lead many issues, such as insufficient binder content poor durabili...

This paper discussed Bayesian variable selection methods for models from split-plot mixture designs using samples Metropolis-Hastings within the Gibbs sampling algorithm. is easy to implement due improvement in computing via MCMC sampling. We described methodology by introducing framework, and explaining Markov Chain Monte Carlo (MCMC) The was used draw dependent full conditional distributions ...

one of the most significant issues in pharmaceutical industries, prior to commercializationof a pharmaceutical preparation is the “preformulation” stage. however, far too attention hasbeen paid to verification of the software assisted statistical designs in preformulation studies.the main aim of this study was to report a step by step preformulation approach for a semisolidpreparation based on ...

pavement permanent deformations due to lack of shear strength in mixture are a major reason of rutting. any simple test to determine mixtures resistance to permanent deformation isn’t distinguished in the 1st level of superpave mix design method and prevalent methods for evaluating mixture rut resistance are expensive and time-consuming. two aggregate types, gradations, asphalt cements and fill...

Marshall Test design methods are used to design TLA modified asphalt mixture and base asphalt mixture respectively, and their pavement performance is tested. The results showed that there is a transforming coefficient of 1.15 between OAC of 40% TLA modified asphalt mixture and that of base asphalt mixture, and ultimate gradation of the TLA modified asphalt mixture is finer than previous gradati...

Statistical techniques used to analyze data from Mixture Experiments involve fitting Multiple Regression models with the intercept set to zero, Canonical Analysis to determine the shape of the fitted response, and the Response Surface System. One can use Mixture Design Macros (e.g., ADXMIX File) in SAS or the point-and-click ADX Interface of SAS to analyze data and obtain graphs. Contour plot, ...