One of the actual problems in the field of analysing loads and impacts on bearing structures is their identification. It means the point of application, the type of action and its intensity in cases where there is an impact result, but the parameters that caused this result are not determined. For example, it is an accident action, as a result of which the structure is deformed and collapsed. The solution of such problems arises when analysing accidents on load-bearing structures in construction, as well as when monitoring the deformed state of structures in time. The paper proposes to use the principles of neural network modelling to solve the problem of identifying the impact in the form of a concentrated force on the example of beam systems. The values of linear and angular nodal displacements at some action are considered as input data to neurons. As an example, the linearly deformable beam of constant stiffness is considered, the material of which is a continuous isotropic medium.

Keywords: neural network, deflections, load-bearing structure, displacement, deformation, identification

A review of the problem of accounting for random factors in the scheduling of construction projects is considered. The problems of taking into account random factors in construction scheduling have been considered in works. However, these studies have not paid full attention to the course of construction for large projects. At the same time, scheduling problems are closely related to optimization of working hours and resource allocation in construction production. Such tasks are usually solved by considering several variants of the technological sequence of works, and the typology and variability of random factors are not fully taken into account. A number of researchers have the view that the determining factor in estimating the actual duration of construction is the reliability of suppliers and delivery of construction products. However, it is not possible to ensure the construction process in reality without interruptions in work. The main reason for this is random factors. It is suggested to take them into account on the basis of modern information technologies including artificial intelligence, stochastic approaches, probability theory and mathematical statistics.

Keywords: Construction organisation, random factors, organisational expectations, calendar modelling, stochastic search, genetic algorithms