Estimating Cement Take of Grouting Curtain of the Bakhtiari Dam Using Artificial Neural Network


1 Department of Geology, University of Isfahan

2 M.A. in Geotechnical Engineering


One of the major costly parts of construction of dams is performance of grouting curtain. Therefore, estimation of expenses of this part is highly important. Usually, the cost of grouting process is calculated based on cement take. Considering the fact that the relationship between the effective factors on grouting process is complex and somehow indistinctive, it is necessary to find a logical relationship between these parameters. For this purpose, in this study artificial neural network is applied to determine a reliable relationship between cement take of the grout curtain of Bakhtiari Dam and some major parameters such as lugeon, geological properties of the site, discontinuities, depth and injection pressure. Cement take was also calculated using two and multi-variables regressions. Comparisons of results of the cement take estimation, using these methods, demonstrated the excellence of using the neural network method.


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