Graduate University of Advanced Technology

About: Graduate University of Advanced Technology is a education organization based out in Kerman, Iran. It is known for research contribution in the topics: Carbon paste electrode & Electrochemical gas sensor. The organization has 890 authors who have published 2169 publications receiving 31027 citations.

Effect of particle size of sand and surface properties of reinforcement on sand-geosynthetics and sand–carbon fiber polymer interface shear behavior

Abstract: Soil-reinforcement interface friction is an important geotechnical engineering parameter that needs to be assessed in achieving a safe and cost-effective design. In this study, the effect of mean particle size (D50), type, and surface properties of reinforcements on shear behavior of soil-reinforcement interface were evaluated using direct shear test. Three types of sands with different D50 and similar properties, and six types of reinforcing materials with different surface features; three conventional types (GTX, GGB, and GC) and three novel types (CFRP, SPSCFRP, and GeoFRP), were used for this purpose. The direct shear test (DST) device was modified and proposed to determine the shear strength and friction angle between soil and reinforcements at different normal stresses. Test results revealed that interface shear strength between soil and reinforcements depends on both particle size of the sand and type of reinforcement. The influence of particle size was more significant when coarser size was used since the interlocking behavior occurred between the sand particles and the asperities of reinforcing material. However, the surface roughness of reinforcement affected the shear strength to an extent.

Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets

Abstract: Protection of the downstream of culvert outlets against scour process, as a water conveyance structure, is a highly significant issue in design of culverts. Frequent field and experimental ...

Stochastic Multiobjective Distribution Systems Phase Balancing Considering Distributed Energy Resources

Abstract: A distribution system is usually unbalanced due to its various loads types with different connection patterns. So phase balancing is taken into consideration in distribution networks. Rephasing is the most effective method for phase balancing of distribution networks but the distributed generation (DG) effect on distribution networks phase balancing is also considerable. In this paper, smart distribution feeder has got balanced by DG sizing and rephasing strategy simultaneously. This combination has a significant influence on network phase balancing in addition to the system cost reduction. The problem is investigated in the deterministic and stochastic frameworks. In the stochastic framework, uncertainty related to hourly wind power and load is modeled using a scenario-based method. After the generated scenarios reduction, fuzzy multiobjective phase balancing (rephasing and DG sizing) based on θ-modified bat algorithm (θ-MBA) is applied to each reduced scenario. Finally, the obtained results of phase balancing in these scenarios are aggregated. The results of stochastic phase balancing are more realistic than deterministic phase balancing.