Krauklis Andrey E, Karl Christian W, Rocha Iuri B C M, Burlakovs Juris, Ozola-Davidane Ruta, Gagani Abedin I, Starkova Olesja
Institute for Mechanics of Materials, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia.
SINTEF Industry, Forskningsveien 1, 0373 Oslo, Norway.
Polymers (Basel). 2022 Jan 5;14(1):216. doi: 10.3390/polym14010216.
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.
聚合物和聚合物复合材料的使用寿命会受到环境老化的影响。新型复合材料及其环境耐久性的验证涉及成本高昂的测试项目,因此需要更经济实惠且安全的替代方案,而建模被视为这样一种替代方案。本文对当前的先进模型进行了系统化整理。该综述全面概述了模块化和多尺度建模方法。这些方法提供了预测聚合物和聚合物复合材料环境老化及降解的手段。此外,本文所呈现的方法和模型的系统化有助于更深入、可靠地理解环境老化的物理和化学原理。因此,它为预测聚合物材料和纤维增强复合材料环境耐久性的建模方法提供了更高的可信度。