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The article is devoted to the development of methods and evaluation of the accuracy of determining the horizontal stiffness of multi-storey buildings basing on the results of instrumental measurements of the self-induced vibrations parameters carried out with the help of high-precision instruments. The proposed studies are extremely relevant in estimating the unsoundness degree of the buildings that have passed a certain period of operation or buildings that have been subjected to severe exposure. The use of dynamic methods of load-bearing structure condition analysis has undeniable advantages, since it excludes the need for a detailed examination, often associated with the necessity to open the enclosing structures and evict the residents of the building. The advantages of using this approach are particularly evident in the survey of a large array of residential buildings that are in heterogeneous operating conditions and require rapid results. The practical application of the methods was tested in the survey of the high-rise apartment buildings of 1-335 series in the city of Irkutsk. However, the need to use dynamic models of small dimension in the evaluation of stiffness parameters makes it inevitable and urgent to solve the problems of assessing the accuracy of such approximations.

In the design practice of design, dynamic models are used, based on the discretization of structures whose inertial parameters are always distributed. The use of discretized models leads to the formation of large-dimensional problems, and the estimation of discretization errors is extremely complicated by the presence of constructive irregularities and heterogeneities of the boundary conditions of the calculated objects. In view of the foregoing, the proposed work is devoted to the formation of mathematical models that allow combining elements with concentrated inertial parameters (discrete elements) with deformable elements whose inertial parameters are distributed (continuous elements). The need for the formation of such models arises, for example, when calculating buildings for horizontal dynamic effects and also when solving the problems of dynamic analysis of building structures with the presence of vibroactive technological equipment.

This research focuses on the application of BD technologies and artificial intelligence, implemented in the convergence of neural network bases and open libraries (BigData). The proposed solution in the form of a distributed analysis system and automated corporate risk management is created on the basis of deep learning algorithms. It is effectively integrated into management processes. In addition, it improves the quality and time of decisions made at all levels.

Integration of modern routing algorithms in logistics is aimed at minimizing costs. The formation of the most effective solutions must take into account the complexity and the variety of types of tracks. It is advisable to optimize the route only after localizing the square of movement, analyzing the terrain, developing the infrastructure of the sector, as well as taking into account the technical characteristics of the declared vehicle and the construction algorithm. The study of the principles of the hierarchical approach in the formation of the route justifies the use of the wave algorithm in the formation of the optimal route on a digital map that meets multifactor criteria: determining the direction of movement of an object by sector, calculating the resources spent on overcoming a specific area of terrain and displaying the results of movement-minimizes costs when building routes.