فهرست مطالب ندا مهین خاکی

This study investigates the potential of nano-zero-valent iron particles coated with nickel in the removal of lead (Pb2+) from porous media. For this purpose, the nano-particles were initially synthesized and later stablilized using the strach biopolymer prior to conducting batch and continuous experiments. The results of the batch experiments revealed that the reaction kinetics fitted well with the pseudo-first-order adsorption model and that the reaction rate ranged from 0.001 to 0.035 g/mg/min depending on solution pH and the molar ratio of Fe/Pb. Continuous experiments showed that lead remediation was mostly influenced not only by seepage velocity but also by the quantity and freshness of nZVI as well as the grain type of the porous media. Maximum Pb2+ removal rates obtained in the batch and lab models were 95% and 80%, respectively. Based on the present study, S-nZVI may be suggested as an efficient agent for in-situ remediation of groundwater contaminated with lead.

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.