Annenkov A. Theory and practice of GNSS application for geodetic monitoring tasks of engineering structures

In the dissertation, the scientific and applied problem of using GNSS technologies to solve the problems of geodetic monitoring of engineering structures has been solved. The state-of-the-art analysis of the problem of monitoring engineering structures has been carried out. Methods of geodetic monitoring are classified, and the place of GNSS technologies in solving problems of geodetic monitoring has been determined. The analysis of coordinate systems has been carried out, and mathematical models for the transformation of heights have been developed and investigated, making it possible to develop practical recommendations for the use of global geoid models when performing geodetic monitoring employing GNSS and combining GNSS and terrestrial observations. Mathematical models and methods of analysis of deformation processes in the territories of construction and operation of engineering structures have been developed. Mathematical models are based on the use of equations of the stress-strain state for plane and spatial models and the finite element method. To provide the technology of geodetic monitoring employing GNSS, a technological scheme of monitoring and methods of preliminary calculation of GNSS observations' accuracy by the PSO method. Mathematical models for predicting deformation processes have been improved on the example of the results of experimental observations of various types of engineering structures obtained through GNSS technologies. Mathematical models based on the use of Kalman filtering and artificial neural networks have been investigated. Experimental studies of GNSS technologies have been carried out when creating GNSS networks when performing geodetic monitoring of territories to construct and operate engineering structures, high-rise buildings, and large sports facilities. Keywords: monitoring, engineering structure, GNSS monitoring, deformation, accuracy calculation, Monte Carlo method, finite element method, artificial neural network, Kalman filtering.