Abstract
Corrosive processes in technical systems are crucial for their longevity and reliability. The stability of engineering structures and the efficiency of technical systems depend on successful corrosion management. In this regard, manufacturers and researchers are actively working on the development of mathematical models for the prediction and control of corrosion processes. Mathematical models have become a key tool for accurately predicting corrosion activity and assessing associated risks. This opens up opportunities for the rational use of resources and preventing accidents, which can significantly enhance the durability of technical constructions. The primary goal of scientific research is to develop effective models that consider the key factors influencing corrosion. Incorporating these factors into mathematical models enables a comprehensive approach to the problem that adapts to various conditions and characteristics of technical systems. The emphasis on mathematical models is determined by their ability to provide accurate forecasts of corrosion activity and to control and prevent negative consequences for technical systems. Research focuses on identifying key factors, developing high-precision models, and considering various conditions and features of technical systems. The overall objective is to create effective tools for predicting corrosion activity and preventing negative impacts on technical systems. This not only contributes to the development of advanced technologies in industry and engineering but also improves safety standards and the longevity of technical constructions. Among the important aspects related to corrosion processes in technical systems, it is crucial to consider their ecological consequences. Corrosive damage can lead to the release of harmful substances into the environment, resulting in soil and water pollution. Specifically, the corrosion of metal structures can contribute to the release of toxic metals, negatively impacting biodiversity and ecosystems. The application of mathematical models for predicting and controlling corrosion activity not only contributes to resource conservation and increased durability of technical systems but also plays a crucial role in reducing environmental impact. Minimizing corrosion processes helps maintain ecological stability and makes a significant contribution to preserving natural resources and biodiversity