Hybrid Twin: An Intimate Alliance of Knowledge and Data

Abstract

Models based on physics were the major protagonists of the Simulation Based Engineering Sciences during the last century. However, engineering is focusing the more and more on performances. Thus, the new engineering must conciliate two usually opposite requirements: fast and accurate. With the irruption of data, and the technologies for efficiently manipulating it, in particular artificial intelligence and machine learning, data serves to enrich physics-based models, and the last allows data becoming smarter. When combined, physics-based and data-driven models, within the concept of Hybrid Twin, real-time predictions are possible while ensuring the highest accuracy. This chapter introduces the Hybrid Twin concept, with the associated technologies, applications and business model.