LASSO algorithm and its application in slope stability analysis

By introducing the LASSO algorithm into the slope reliability analysis, an algorithm model to predict the safety factor of a slope is established, and the function of searching the dangerous area of the slope is realized. First, using the finite element software is used to implement the Monte Carlo algorithm and to obtain the data of slope reliability analysis. Second, the acquired data is analyzed by the LASSO algorithm. A model is established to predict the safety factor of the slope under the specific intensity parameter distribution. The predicted results are compared with those by the ordinary linear regression algorithm to confirm the superiority of the LASSO algorithm, and its application suggestions in long-term slope risk monitoring are put forward. Third, the LASSO algorithm is combined with the Monte Carlo simulation to search for the most dangerous areas that affect the stability of the slope under multiple simulation results. The results indicate that compared with the ordinary linear regression algorithm, the model established by the LASSO algorithm can accurately find out the most dangerous area that affects the stability of the slope. Therefore, the LASSO algorithm can provide new ideas for the long-term slope risk monitoring and slope reinforcement.