Modeling and Simulation Formalisms, Methods, and Tools for Digital-Twin-Driven Engineering and Sustainability-Led Management of Complex Systems
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 6156
Special Issue Editor
Interests: modeling and simulation; artificial intelligence; digital twin; sustainable system management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of digitalization at all levels of society, digital twin (DT) technology is emerging as one of the key research directions in many areas, ranging from manufacturing to healthcare, architecture, smart cities, etc. Even if the concept and therefore use of the DT is variously understood in different scientific communities, DTs can be seen as a natural extension of conventional models for the digital simulation of systems based on information derived from the physical world using sensors and Internet-of-Things devices. They can be also seen as a disruptor of digital simulation for systems engineering and management based on their ability to fuse IoT information with events from digital simulation. Therefore, there are formalisms, methods, tools, and building blocks that can be formalized to provide unified support to DT technology that is transversal to all application domains.
This Special Issue aims at exploring the spectrum of such theoretical, methodological, and applied elements from the perspective of simulationists. Relevant topics include (but are not limited to) the following: languages for DT modeling, models and architectures for DT composition and interoperability, simulation-enabled DT, AI-enhanced DT, simulation-based DT engineering approaches (design, reuse, reverse engineering, etc.), DT-based sustainable system management (support to product/process/system lifecycle, predictive maintenance, qualitative production, monitoring and surveillance, etc.), and DT applications to challenges relating to sustainability (energy, environment, health, climate, industry, mobility, etc.).
The original idea of the DT was to mirror the life of aerospace vehicles with a series of integrated sub-models that reflected different features of vehicle systems by considering stochasticity, historical data, and sensor data, including in this way interactions of the vehicle with the real world. In subsequent research works, other aspects emerged, such as the use of the Digital Twin for prognostics and diagnostics activities, which then remained as core characteristics of the concept in future works. As such, the DT can be considered the next step in simulation, as modern systems evolve toward high connectivity through networks and high integration of physical and cyber components. Such a perspective must be thoroughly investigated in the early ages of this burgeoning domain by the modeling and simulation community. This Special Issue will offer a pioneering gallery to that purpose.
Prof. Dr. Mamadou K. Traoré
Guest Editor
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Keywords
- digital twin
- modeling and simulation
- system engineering
- sustainable system management
