critical loads

Problem statement and the research purpose. Modernization and improvement of manufactured mobile cranes makes it possible to increase their load capacity, improve their operational properties, change their appearance, etc. At the same time, the modernization must take into account the features of new or changed components in order to ensure the requirements of strength and reliability. In the case of special and specialized equipment, loads are manifested in the mode of movement (transportation) and execution of technological processes.

Two problems are analyzed in the paper: 1) prediction and identification of critical loads and concrete strength in compressed R/C columns, 2) identification of compaction characteristics in granular soils. The main goal of the paper is to compare the numerical efficiency of the Method of Gaussian Processes with the results obtained by means of other methods (Extended Back Propagation Neural Network, Semi Bayesian Neural Networks and Bayesian methods).