Abstract
Material-environment interactions (MEI) significantly impact the durability and performance of various engineered materials, creating uncertainties that complicate the prediction of their service lifetimes, as well as affect the environment by the release of chemicals and ions. The duality of lifetime prediction lies in the definitions of failure criteria and end-of-life scenarios. Similar modeling methodologies can be applied, whether prioritizing "safety," "decomposition" of the material, or environmental pollution. Conventional experimental approaches are costly and time-consuming, presenting a substantial hurdle to innovation. Mathematical modeling methods offer a cost-effective and efficient alternative by combining accelerated testing data and simulations based on fundamental scientific principles of MEI. This paper presents a modular and multiscale modeling framework, illustrating how environmental factors such as chemical composition, temperature, acidity, and mechanical stresses influence material degradation. This framework, applicable to a wide variety of materials and environments, provides essential tools for predicting service lifetimes, contributing to both academia and industrial applications.