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Showing 2 results for Mahmoodabadi


Volume 6, Issue 4 (Fall 2018)
Abstract

Aims: Soil erosion has been known as the most important land degradation feature in the globe and is also identified as a serious environmental threat due to its onsite and offsite effects. The aims of this study were to evaluate temporal changes of sediment concentration in a soil with high clay content under erosion by rainfall and inflow as well as interpreting the reasons for their very high erosion rate.
Materials & Methods: This experimental study was done in the Rainfall and Erosion Simulation Laboratory of the Soil Conservation and Watershed Management Research Institute (SCWMRI). All experiments were performed at a 20% slope gradient under 55.9mm.h-1 rain intensity for 30 minutes. Four slope lengths (1, 6, 12 and 18m) were considered for erosion simulation. With regard to the 6m length of the flume, 1 and 6m lengths were simulated only under rainfall and the other two longer lengths by combining rainfall-inflow.
Findings: Very high concentrations up to 80, 59, 40 and 9gr.l-1 were recorded in 18, 12, 6 and 1m slope lengths, respectively. Sediment concentration increased exponentially by increasing the length of the slope that could be explained by the influence of flow velocity increase on longer slopes. The high sediment concentration could be justified by the breakdown of the soil mass during rainfall and the formation of more than 65.0% of fine aggregates in the size of silt and very fine sand.
Conclusion: The erodibility of clayey soil can be explained by the secondary aggregate size distribution rather than texture properties. 

Mohammad Javan Bakht, Mohammad Javad Mahmoodabadi,
Volume 18, Issue 3 (5-2018)
Abstract

The Moving Least Square (MLS) interpolation method is proposed for approximation of adaptive fuzzy controller parameters for two degrees of freedom suspension system and each one has two inputs, one output with twenty-five linguistic fuzzy IF-THEN rules. Fuzzy systems are designed by using five Gaussian membership functions for each input, product inference engine, singleton fuzzifier and center average defuzzifier. The constructed fuzzy systems is composed with adaptation rules. For this purpose, Lyapunove approach is implemented for stability of the adaptation rules. The Gravity Search Algorithm (GSA) is implemented for achieve the optimum controller parameters. The relative displacement between sprung mass and tire and the body acceleration are two objective functions used in the optimization algorithm. Since, choose the suitable controller coefficients are important and when the parameter of the system change, Optimum coefficients of the controller will also change. In order to solve this obstacle, the MLS predictive model is purposed that is interpolation method based on a radius of the neighborhood, a basis function and a weight function for points of interest. Finally online model is implemented on the two degrees of freedom suspension system and results compared with the offline optimal systems.

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