Digital twin applications for the JET divertor

Iglesias, Daniel; Bunting, P.; Esquembri, S.; Hollocombe, J.; Silburn, S.; Vitton-Mea, L.; Balboa, I.; Huber, A.; Matthews, G. F.; Riccardo, V.; Rimini, F.; Valcárcel, D.

doi:10.1016/j.fusengdes.2017.10.012

Cited by 32 publications

(11 citation statements)

References 10 publications

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“…In terms of asset management, digital twins have been considered for tasks such as damage detection and structuralhealth/condition monitoring [10,28,41] and uncertainty quantification [42]. In addition to the application areas already mentioned, digital twins have also been considered for application in the areas of offshore drilling [43], offshore wind turbines [44,45], space structures [46] and nuclear fusion [47].…”

Section: History and Background To The Digital Twinmentioning

confidence: 99%

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

Wagg

Worden

Barthorpe

et al. 2020

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

155

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This paper presents a review of the state of the art for digital twins in the application domain of engineering dynamics. The focus on applications in dynamics is because: (i) they offer some of the most challenging aspects of creating an effective digital twin, and (ii) they are relevant to important industrial applications such as energy generation and transport systems. The history of the digital twin is discussed first, along with a review of the associated literature; the process of synthesizing a digital twin is then considered, including definition of the aims and objectives of the digital twin. An example of the asset management phase for a wind turbine is included in order to demonstrate how the synthesis process might be applied in practice. In order to illustrate modeling issues arising in the construction of a digital twin, a detailed case study is presented, based on a physical twin, which is a small-scale three-story structure. This case study shows the progression toward a digital twin highlighting key processes including system identification, data-augmented modeling, and verification and validation. Finally, a discussion of some open research problems and technological challenges is given, including workflow, joints, uncertainty management, and the quantification of trust. In a companion paper, as part of this special issue, a mathematical framework for digital twin applications is developed, and together the authors believe this represents a firm framework for developing digital twin applications in the area of engineering dynamics.

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Section: History and Background To The Digital Twinmentioning

confidence: 99%

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

Wagg

Worden

Barthorpe

et al. 2020

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

155

View full text Add to dashboard Cite

show abstract

“…With the increase in importance of MRO, an emerging concept is the so-called digital twin [190,191]. Modern manufacturing methods, especially for gas turbines, are highly digitized with an electronic inventory of even the smallest production detail [191].…”

Section: Digital Twins and Universesmentioning

confidence: 99%

Emerging trends in numerical simulations of combustion systems

Raman

Hassanaly

2019

Proceedings of the Combustion Institute

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Numerical simulations have played a vital role in the design of modern combustion systems. Over the last two decades, the focus of research has been on the development of the large eddy simulation (LES) approach, which leveraged the vast increase in computing power to dramatically improve predictive accuracy. Even with the anticipated increase in supercomputing capabilities, the use of LES in design is limited by its high computational cost. Moreover, to aid decision making, such LES computations have to be augmented to estimate underlying uncertainties in simulation components. At the same time, other changes are happening across industries that build or use combustion devices. While efficiency and emissions reduction are still the primary design objectives, reducing cost of operation by optimizing maintenance and repair is becoming an important segment of the enterprise. This latter quest is aided by the digitization of combustors, which allows collection and storage of operational data from a host of sensors over a fleet of devices. Moreover, several levels of computing including low-power hardware present on board the combustion systems are becoming available. Such large data sets create unique opportunities for design and maintenance if appropriate numerical tools are made available. As LES revolutionized computing-guided design by leveraging supercomputing, a new generation of numerical approaches is needed to utilize this vast amount of data and the varied nature of computing hardware. In this article, a review of emerging computational approaches for this heterogeneous data-driven environment is provided. A case is made that new but unconventional opportunities for physics-based combustion modeling exist in this realm.

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“…Iglesias et al [5] consider digital twin applications for JET divertor. These applications enable increasing the JET reliability, operational limits, and accuracy of experimental results.…”

Section: Analysis Of Recent Researches and Publicationsmentioning

confidence: 99%

Digital twin information technology for biomedical data complex representation and processing

Dychka¹,

Sulema²,

Bukhtiiarov³

2019

Вісник Херсонського національного технічного університету

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The paper presents an information technology of digital twin for implementation in healthcare, in particular in e-health and m-health applications. The primary objective of this research is to develop a concept of digital twin information technology for medical decision support systems. The second objective is to analyse various medical data formats and to develop an approach to synchronization of multimodal medical data. The approach proposed in the paper will enable aggregation of multimodal data sequences obtained from a wide range of medical diagnostic equipment with the purpose of a patient's digital twin creation. The paper presents an analysis of data synchronization possibility and data representation formats for both single-channel and multi-channel biological signals, results of such investigations as blood tests, ultrasound research, magnetic resonance imaging etc. Digital twin technology will enable development of a new generation of medical decision support systems. A digital twin of a patient is a synchronized and aggregated multimodal data set obtained from a wide range of diagnostic medical equipment which is continuously updated and based on a personalized semantic modal of a patient. Since data are obtained from different medical devices and tools in various formats which directly do not fit for data synchronization and aggregation, the format of a file-wrapper that enables storing time characteristics of medical investigations (time stamps) in an evident form. It allows us to simplify a procedure of multimodal data aggregation while creating and continuous updating the digital twin of a patient. The process of digital twin forming includes the following stages: receiving of original data files in a device format (sonographic device, MRI scanner, electrocardiograph etc.), analysis of data and their time stamps, transformation of the original file to the format of a file-wrapper, data synchronization and aggregation, representation of multimodal data in a digital twin format for further storing and processing.

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Digital twin applications for the JET divertor

Cited by 32 publications

References 10 publications

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

Emerging trends in numerical simulations of combustion systems

Digital twin information technology for biomedical data complex representation and processing

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