The Role of Digital Twin in Computational Engineering and Industry 5.0 for Sustainable Development

Abstract

Digital twin compute equations and advanced data analytics play an important role in enhancing complex engineering processes. This paper emphasizes the impact of digital twin on computational engineering in every field with a significant role in sustainable development. This predictive capability not only enhances the efficiency of engineering design but also contributes to minimizing the environmental footprint of projects. The interaction between digital twin and computational engineering is for smart infrastructure and strong systems. This paper examines digital twin models of monitoring and control systems that enhance the adaptability and responsiveness of infrastructure, ensuring sustainable operation and maintenance. The digital twin has been successfully applied in computational engineering to design and optimize structures, systems, and processes with sustainability in mind. Researchers explore the potential for interdisciplinary collaboration between digital twin researchers, engineers, and sustainability experts to address global challenges with innovative solutions.