Keyword: «arctic environments»

The absence of reliable methods for predicting the durability of polymer composite materials (PCMs) in Arctic environments increases operational risks and costs. This study aims to develop a combined semi-empirical method for estimating the remaining service life of PCMs under extreme conditions. The proposed approach integrates the superposition of climatic factors with the minimization of the standard deviation between calculated and experimental data. Calculations are automated using the Delphi programming environment. Validation on polymer fiber composites demonstrated model convergence for retrospective intervals of at least seven years. The method supports the prediction of residual service life over a 15-year period.