Searching the critical slip surface of slope based on new bionics algorithm

Abstract

The computation of slope stability is always a very important work for researchers and engineers in this field. The one key issue to solve this problem is the searching of critical slip surface. Generally, the searching of critical slip surface is a very typical complicated continuous optimization problem. To solve this problem very well, firstly, combing the artificial immune system algorithm and evolutionary algorithm with continuous ant colony algorithm, one new bionics algorithm for continuous function optimization which is called immunized continuous ant colony algorithm is proposed, secondly, combing immunized continuous ant colony algorithm with limit equilibrium analysis, one new global optimization algorithm for critical slip surface searching is proposed. At last, through a typical numerical example-Association for Computer Aided Design Society-Australia (ACADS) example and one engineering example-one highway slope, this new method is verified. The results show that, using the new algorithm, the searched slip surface will be coincided with the measured slip surface very well, and the stability safety factor will also be agree with the actual situation.