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Modelling of Environmental Ageing of Polymers and Polymer Composites—Modular and Multiscale Methods

Polymers 2022 81 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Christian W. Karl, Andrey E. Krauklis, Olesja Starkova Juris Burlakovs, Juris Burlakovs, Christian W. Karl, Christian W. Karl, Rūta Ozola-Davidāne, Olesja Starkova I.B.C.M. Rocha, Christian W. Karl, Christian W. Karl, Juris Burlakovs, Juris Burlakovs, Rūta Ozola-Davidāne, Abedin I. Gagani, Juris Burlakovs, Juris Burlakovs, Andrey E. Krauklis, Olesja Starkova

Summary

This review systematizes modular and multiscale modelling approaches for predicting environmental ageing and degradation of polymers and polymer composites, offering more affordable alternatives to costly physical durability testing programs.

Service lifetimes of polymers and polymer composites are impacted by environmental ageing. The validation of new composites and their environmental durability involves costly testing programs, thus calling for more affordable and safe alternatives, and modelling is seen as such an alternative. The state-of-the-art models are systematized in this work. The review offers a comprehensive overview of the modular and multiscale modelling approaches. These approaches provide means to predict the environmental ageing and degradation of polymers and polymer composites. Furthermore, the systematization of methods and models presented herein leads to a deeper and reliable understanding of the physical and chemical principles of environmental ageing. As a result, it provides better confidence in the modelling methods for predicting the environmental durability of polymeric materials and fibre-reinforced composites.

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