Optimizing the landslide-prone slope stabilization

Introduction. Nowadays, the study of landslide processes is one of the most intensive aspects of construction and maintenance of industrial and civil buildings and installations. The landslides violate the stability of foundations and entire complexes of installations, so the assessment of the stability of the slopes is the most important task before starting the construction. Currently, there is a large number of landslide classifications, which characterize the conditions of their formation, the history of geological development, their age, and structure. Normative documentation gives three ways of slope slump control: preventive, restricting, and liquidation ones. However, this source does not give systematic validity of the engineering solutions. The study sets the following tasks: to develop an algorithm for the optimal choice of rational slope strengthening in landslide construction conditions and to test it with a specific example. Materials and methods. The study analyzed the publications on theoretical and practical experience in dealing with landslides as well as normative documents. Numerical simulation methods were used to calculate the slope stability when testing the algorithm. Results. Using the introduced classification, the study presented an algorithm that makes it possible to choose a rational way of slope strengthening under landslide construction conditions. The concept of the algorithm allows step-by-step approximating parameters of a landslide-prone slope model to the real conditions, on the one hand, and selecting the most reasonable anti-landslide measures, on the other hand. The developed algorithm was tested on the territory of a large industrial complex situated on river overflood plain fringes. By applying the value engineering comparison of several slope stabilization variants, the research has taken the most optimal one of them for realization. Conclusions. The study developed the author’s classification and algorithm for the selection of optimal design solutions to stabilize landslide-prone slopes or slants. Successful approbation of the algorithm confirmed its practical applicability. The algorithm allows choosing the most effective complex for protection against landslides.