Stability Analysis of Earth-rock Dam Slopes based on Big Data Fuzzy Ant Colony Clustering

Abstract

The soil material, structure, construction, operation and management conditions are all influence affecting the stability of earth-rock dam slopes. The analogy and cluster analysis methods are usually used to solve such multi-influence analysis problems. The common statistical classification method has sensitivity to the calculation process and requires high data parameters, so it is difficult to obtain the optimal result. The ant colony clustering algorithm simulates the method used by ants to solve the optimal path problem through bionics theory, and can obtain better calculation results. Based on the ant colony algorithm, the fuzzy theory is introduced to optimize the parameters of the ant colony clustering process to realize the fuzzy ant colony clustering calculation of the stability of the earth-rock dam slopes. The calculation examples are validated by clustering method, simulated annealing algorithm and ant colony clustering method to prove the result and advantage of the proposed method.