Using Genetic Algorithm for Design Length of Reinforcers in Slope Reinforced

Two effective parameters in determining the length of reinforces in the reinforced slopes are, the one, the length of reinforce located in the active zone which is estimated based on the location of failure surface and the second, the length of reinforces located after the failure surface. Generally the first one is calculated based on the angle of wedge failure by Rankin method. In this method the effect of reinfocrers on the location of failure surface is ignored. In order to assess the location of the failure surface in the reinforced slopes the horizontal slice method, Spencer Method, is used. In this method, slippery mass with the presence of reinforces is divided into a number of horizontal slices parallel to reinforce’s direction. Inter-slice forces are computed by using Spencer basic rules. Earthquake load is affected on the center of each slice by horizontal and vertical pseudo-static coefficients. In the present method, the critical slip surfaces are examined and are reinforced. So the probability of presence the critical slip surface is minimum. In this paper, Genetic Algorithm optimization method is used to produce non-circular slip surface in slopes reinforced with a safety factor of one. Comparing the results of GA optimization with the results of other investigators for the same geometry, material properties and loadings, this method shows that the introduced and utilized method is more critical for the estimation of the length of reinforces , thus the design of reinforcement with the proposed method is more reliable.