فهرست مطالب mohammadreza fadaei tehrani

Organic pollutants soluble in water such as chlorine compounds, biphenyls and aldrins caused by dyes, detergents, herbicides and toxins cannot be removed in conventional purification processes such as filtration. Carbon nanotubes have a high ability to separate organic pollutants, but its slurry application is not desirable due to the need to remove them at the end of purification. In the present study, upgraded carbon nanotubes attached to particles of sand filters (CNTsand) were synthesized and used to remove organic pollutants. The capacity and efficiency of these nanotubes and the variables affecting it including pH, temperature, contact time and concentration were investigated. Also, reaction kinetics and adsorption isotherms were analyzed. The results showed that CNTsand has a high capacity to remove organic compounds. The data processing showed the pseudo-second order kinetic model for the elimination reaction and the Langmuir isotherm was the most consistent. The reaction enthalpy change equal to ΔH=11.02 kJ/mol and the free energy change from ΔG=-7.32 to -9.20 kJ/mol both indicate an endothermic and thermodynamically spontaneous reaction. Therefore, the adequacy and efficiency of the upgraded nanotube coating on sand grains in removing organic pollutants was confirmed.

Application of Support Vector Machin (SVM), is a new approach to analyze engineering problems which has been considered in recent decades. In this study, the SVM model is applied to predict the seismic response of concrete dam under seismic loading. To provide training data, the finite element analysis software ANSYS is used in concrete gravity dams Shafarood. WinSVM software was used for support vector machin modeling, as well. After completing training process, seismic response resulted from the two methods were compared and verified. The results were validated the ability of support vector machine to determine the seismic behavior of concrete dams. as a matter of fact, the error is less than 7% in terms of loading. However, due to the use of data recorded instrument dams for training of support vector machine, the use of this method for determining the response of concrete dams affected by various loads, in conditions close to reality, is recommended.