4. Conclusion
A complex system is difficult for the human mind to grasp. Indeed, it presents two main difficulties for anyone wishing to understand how it works: it contains a variety of phenomena that interact with each other and with the environment, and it evolves over time, often in a non-linear fashion.
Numerical models describing the phenomena at play in a complex system must be capable of transcribing both these interactions and the system's temporal evolution. A digital twin is a faithful digital model of a precise physical system, combining all the knowledge, data and digital simulations acquired since its conception. Co-constructed with experts in the fields involved, it proves to be an invaluable tool in understanding a complex system, which may partly explain the growing interest in the engineering field for these digital twins.
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Bibliography
- (1) - LIM (K.Y.H.), ZHENG (P.), CHEN (C.-H.) - A state-of-the-art survey of Digital Twin : techniques, engineering product lifecycle management and business innovation perspectives. - J Intell Manuf 31, 1313-1337 (2020). https://doi.org/10.1007/s10845-019-01512-w ...
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