Hryhorovskyi P. Methodological basis of generating process control and management solutions for instrumental measurements in erecting and usage of buildings and structures

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0519U000162

Applicant for

Specialization

  • 05.23.08 - Технологія та організація промислового та цивільного будівництва

28-02-2019

Specialized Academic Board

Д 64.056.01

Kharkov National University of Civil Engineering and Architecture

Essay

Scientific proposals are formulated and substantiated which, in aggregate, can be defined as a theoretical generalization and a new solution to a topical scientific and applied problem of creation of the methodological basis of generating process control and management solutions for instrumental measurements in erecting and usage of buildings and structures. Specific features of the processes of determining the parameters impacting the choice of process control and management solutions are revealed, industrial and natural factors impacting the indicators of the measuring works effectiveness are systematized. The parameters of process control and management solutions are researched depending on the impact of the researched factors; modeling algorithms of optimal solutions of the integrated process of defining parameters of buildings and construction by the instrumental methods are developed; methods of validating labor and duration of measuring works and determining the volume of observations and their periodicity with due consideration of the vulnerability criterion are developed; the techniques of measuring works are theorized. A general research methodology is developed and validated, the essence of the theory and the methodological principles of determining parameters of buildings and construction by instrumental methods are disclosed. The consistency of the impact of technology and organization of measurements on the duration of the technological processes of construction of objects and on their operational suitability throughout their whole life cycle is studied. A strategy for planning the operation of measuring systems for failure prediction depending on the actual state of the objects is proposed, which considers not the operation experience of similar systems and statistical data, but the methodological link between the accuracy and periodicity of instrumental measurements. The scientific results have been used by engineering, construction and investment companies.

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