Effect of Aggregate Size on Recycled Aggregate Concrete under Equivalent Mortar Volume Mix Design

In this paper, the effect of the original aggregate size of the recycled aggregate on the mechanical properties of the recycled aggregate concrete was evaluated. A series of concretes were produced in which natural aggregates, recycled aggregates, and original aggregates in recycled aggregates were matched for a single particle size distribution curve. The replacement levels of recycled aggregate were 25% and 50%, and equivalent mortar volume mix design was applied for recycled aggregate concrete. The results show that the mechanical strength of recycled aggregate concrete increases with increasing original aggregate size. This effect was observed to be greater in concrete using recycled aggregate with a high residual mortar content.

Prediction of CEC Using Fractal Parameters by Artificial Neural Networks

The prediction of cation exchange capacity from readily available soil properties remains a challenge. In this study, firstly, we extended the entire particle size distribution curve from limited soil texture data and, at the second step, calculated the fractal parameters from the particle size distribution curve. Three pedotransfer functions were developed based on soil properties, parameters of particle size distribution curve model and fractal parameters of particle size distribution curve fractal model using the artificial neural networks technique. 1 662 soil samples were collected and separated into eight groups. Particle size distribution curve model parameters were estimated from limited soil texture data by the Skaggs method and fractal parameters were calculated by Bird model. Using particle size distribution curve model parameters and fractal parameters in the pedotransfer functions resulted in improvements of cation exchange capacity predictions. The pedotransfer functions that used fractal parameters as predictors performed better than the those which used particle size distribution curve model parameters. This can be related to the non-linear relationship between cation exchange capacity and fractal parameters. Partitioning the soil samples significantly increased the accuracy and reliability of the pedotransfer functions. Substantial improvement was achieved by utilising fractal parameters in the clusters.

Optimization of Typical Grinding Model and the Simulation of Grinding Process Numerical

Based on the actual conditions during industrial production, this paper proposes an improvement method and solution to the typical grinding process model and derives a mathematical model of grinding process that’s suitable for industrial production. Sampling analysis and laboratory experiments of the production process were conducted, the derived model was tested, and the results show that particle size distribution curve obtained from the improved model is similar to the actual product, which means that the improved model can be applied to simulate industrial grinding process.

Electro-Generation of Furfural Alcohol in Ni-P-MCMC/mCS Bipolar Membrane Equipped Electrolysis Cell

Based on the actual conditions during industrial production, this paper proposes an improvement method and solution to the typical grinding process model and derives a mathematical model of grinding process that’s suitable for industrial production. Sampling analysis and laboratory experiments of the production process were conducted, the derived model was tested, and the results show that particle size distribution curve obtained from the improved model is similar to the actual product, which means that the improved model can be applied to simulate industrial grinding process.