Accurate prediction of transport properties for cementitious materials remains a challenge since it is difficult to experimentally obtain the realistic three-dimensional (3D) pore network cement paste. In this study, 3D paste quantitatively characterized using nano X-ray microtomography coupled with metal centrifugation porosimetry (MCP). First, MCP technique carried out impel liquid into Subse...

Zinc-air flow batteries are a promising energy storage technology. Their performance depends on their porous cathodes where the oxygen reduction reaction (ORR) occurs. A key feature of cathode is invasion electrolyte, creating so-called triple phase boundary between air, electrolyte and catalyst, which shown in this work to be an overly simplified picture. In study mathematical framework based ...

Immiscible two-phase flow of Newtonian fluids in porous media exhibits a power law relationship between rate and pressure drop when the is such that viscous forces compete with capillary forces. When large enough for to dominate, there crossover linear relation drop. Different values exponent relating regime where two have been reported different experimental numerical studies. We investigate i...

information on the productivity, costs and applications of the logging system is a key component in the evaluation of management plans for the rehabilitation and utilization of caspian forests. skidding and road construction costs are expensive forest operations. determining the optimum forest road network density is one of the most important factors in sustainable forest management. logging me...

the application of neural networks to model a laboratory scale inverse fluidized bed reactor has been studied. a radial basis function neural network has been successfully employed for the modeling of the inverse fluidized bed reactor. in the proposed model, the trained neural network represents the kinetics of biological decomposition of organic matters in the reactor. the neural network has b...