As part of the implementation of a set of works on the examination of the technical condition, calculation justification and assessment of the remaining service life of the group of buildings of the Left-Bank State Border Service of the city of Voronezh, the development of “Methodology for assessing the technical condition and calculation forecasting and justification of the remaining service life of building structures” was carried out. When developing the methodology, the requirements of the current regulatory and technical documents for the inspection of buildings and structures were taken into account. The methodology of the calculation justification is based on previously published works of the creative team under the direction of Shmelev G. D. The methodology for calculating forecasting and estimating the remaining service life of building structures is based on the following methods: expert, parametric, “load - bearing capacity” and “load - deformation”. This article provides a brief description of the methodology and its main sections. The general content of the methodology, which consists of 11 sections, is given, a detailed description of the 3 key sections of the methodology is given, which are devoted to: determining design parameters and criteria for their evaluation; methods for predicting the residual life of building structures; drawing up a report on the justification of the remaining service life of the building structures of the facility.

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A number of researchers are working on the creation of a general method for forecasting operability and residual life of engineering constructions of buildings and structures of different purposes using the models of nonlinear physical wear development. The authors analyzed two approaches to forecasting operability and estimating residual operating life of structural elements of residential houses using nonlinear models of the changes in physical wear of building structures basing on forecast logistic model. The description of the differences in the approaches to forecasting and advantages of one method compared to another are given. As a result of the conducted analysis the authors recommend the most accurate model for making predictions and estimation of residual operating life of building structures.