للكاتين
E. A. Eisawy and H. A. Sallam
Operational Safety Dept., National Center for nuclear safety
ABSTRACT
Determination of effective earth resistivity for use in deep ground rod resistance calculations is an
important contribution to ground design. An Artificial Neural Network (ANN) algorithm for
predicting the resistance of deep driven ground rods has been developed. The ANN has been trained
on the data obtained from field ground rod test results. The algorithm extrapolates known test ground
rod data up to seven times the known depth values. This algorithm can be used to predict the
practical limits for driving deep rods, and thus eliminate the many extra rods and valuable
construction time spent installing deep rods.