DEVELOPMENT OF AN ALGORITHM AND SOFTWARE TOOL THAT TAKES INTO ACCOUNT THE CORROSION OF MATERIALS IN THE WATER DISCHARGE SYSTEM OF A HYDRAULIC STRUCTURE

Abstract

The longevity and effectiveness of infrastructure are significantly impacted by corrosion in hydraulic structures' water discharge systems. To ensure structural integrity, save maintenance costs, and increase the lifespan of hydraulic structures, a sophisticated algorithm and software tool for evaluating and forecasting material corrosion in such settings must be developed.

The goal of this study is to create a computer model that incorporates several material and environmental parameters that affect corrosion rates. To correctly model corrosion processes, the algorithm will consider variables such water pH, temperature, flow velocity, dissolved oxygen levels, and material composition. The suggested software application would offer real-time monitoring and forecasting capabilities by using machine learning, predictive analytics, and empirical data. This will help engineers with decision-making processes pertaining to maintenance planning and material selection.

Engineers will be able to input precise parameters and obtain corrosion risk assessments and mitigation plans thanks to the software's user-friendly interface. To improve its forecast accuracy, the system will also use real-world data and case studies. The creation of this technology would greatly enhance safety, optimise hydraulic structure management, and reduce financial losses from unanticipated corrosion-related breakdowns. By providing a reliable, approachable method for evaluating corrosion in water discharge systems, this research seeks to close the gap between theoretical corrosion models and real-world engineering applications. Better material selection, the scheduling of preventative maintenance, and the general sustainability of hydraulic structures will all be made possible by the use of this algorithm and software.