Physics-Based and Data-Driven Modeling for Digital Twins: 8 (ICIAM2023 Springer Series, 8)

This book presents a compelling and up-to-date exploration of modeling techniques for digital twins, a transformative concept revolutionizing how physical assets are designed, operated, optimized, and managed throughout their lifecycle.Digital twins are precise virtual counterparts of physical systems, capable of integrating real-time data to offer dynamic, predictive insights into system behavior.As this paradigm gains momentum across industries, it enhances decision-making and operational efficiency but also introduces new mathematical and engineering challenges in model development. At the core of this volume is a thorough investigation into the modeling frameworks essential for building effective digital twins.These systems must fulfill multifunctional roles, requiring models that are both robust and flexible enough to simulate complex physical processes with high fidelity.The book spans a wide spectrum of approaches from physics-based models grounded in the laws of nature to data-