PURPOSE. In the works previously performed by the authors it has been proposed to determine conditions for buildings destruction by the method of the stress state automated calculating their building structures after external loads redistribution as a result of “destroyed” elements removal from the design scheme. This has made it possible to determine for the first time the types and number of the buildings supporting structures elements, whose destruction leads to their collapse. In addition, the degree of building destruction is determined not by the amount of overpressure in the front of the air shock wave acting on the building, but by the amount of economic damage, based on the feasibility of its restoration, depending on the proportion of destroyed interconnected structural elements of the building. For the first time, it allows promptly predicting both the degree of individual buildings destruction and their groups in the lesion focus. METHODS. The authors have used positions of the probability theory and the apparatus of mathematical statistics, as well as methods for determining the overpressure in the front of the air shock wave under the influence of conventional destruction means. FINDINGS. As a criterion for the effectiveness of the proposed methodology for forecasting the degree of buildings destruction under the influence of conventional destruction means, the accuracy increase degree of buildings destruction level determining has been taken. A comparative calculation of the brick building destruction degree has been made. With regard to panel and monolithic buildings, it is impossible to perform comparative calculations, due to lack of data on the magnitude of overpressure in the front of the nuclear explosion air shock wave, which causes weak, medium, strong and complete destruction of residential buildings of these types. RESEARCH APPLICATION FIELD. The results can be used to forecast the volume of emergency recovery work in relation to residential buildings and areas of cities and economic facilities under the influence of conventional destruction means as well as to develop measures to ensure the stability of residential buildings functioning as a result of conventional destruction means impact. CONCLUSIONS. Scientific and methodological approaches for the operational forecasting the residential buildings destruction degree under the influence of conventional destruction means are proposed. The analysis of comparative calculations shows that the accuracy of the developed methodology application in comparison with the existing ones is increased by 50 %.
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