The True Digital Twin Concept for Fatigue Re-Assessment of Marine Structures

Tygesen, Ulf T.; Jepsen, Michael S.; Vestermark, Jonas; Dollerup, Niels; Pedersen, Anne

doi:10.1115/omae2018-77915

Cited by 36 publications

(24 citation statements)

References 1 publication

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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

185

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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

185

View full text Add to dashboard Cite

show abstract

“…[85,86] are focused on lifecycle management where sustainable manufacturing, IoT and sensor information can be utilized to promote lifetime extension in the personal computer and for automobile, aircraft and ship manufacturers, respectively. The role of the digital twin for prediction, integration of the life cycle of a product and develop a model to extend the lifetime is described in the case study of existing marine structures [87], rotating machinery fault diagnosis [89] and wind turbine [90]. Ref.…”

Section: Recyclementioning

confidence: 99%

Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review

et al. 2021

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Even if the economy nowadays is still locked into a linear model of production, tighter environmental standards, resource scarcity and changing consumer expectations are forcing organizations to find alternatives to lighten their impacts. The concept of Circular Economy (CE) is to an increasing extent treated as a solution to this series of challenges. That said, the multitude of approaches and definitions around CE and Life Cycle Extension Strategies (LCES) makes it difficult to provide (Small and Medium Enterprise) SMEs with a consistent understanding of the topic. This paper aims at bridging this gap by providing a systematic literature review of the most prominent papers related to the CE and lifetime extension, with a particular focus on the equipment and machinery sector. A taxonomy was used to define and cluster a subset of selected papers to build a homogeneous approach for understanding the multiple strategies used in the industry, and the standards in maintenance and remanufacturing strategies. As a final research step, we also propose a Strategy Characterization Framework (SCF) to build the ground for the selection of the best strategy to be applied for production equipment life cycle extension on several industrial use cases.

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“…A search in Pub Med for "digital twin" returns only 4 documents. Many of these publications such as [11], [12], [13] and [14], discuss the prognostics and health management of components or machines in the industrial process rather than human health,.…”

Section: A Digital Twin For Health and Well-being Systemsmentioning

confidence: 99%

An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities

et al. 2020

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The use of the digital twin has been quickly adopted in industry in recent years and continues to gain momentum. The recent redefinition of the digital twin from the digital replica of a physical asset to the replica of a living or nonliving entity has increased its potential. The digital twin not only disrupts industrial processes, but also expands the domain of health and well-being towards fostering smart healthcare services in smart cities. In this paper, we propose an ISO/IEEE 11073 standardized digital twin framework architecture for health and well-being. This framework encompasses the process of data collection from personal health devices, the analysis of this data, and conveying the feedback to the user in a loop cycle. The framework proposes a solution to include not only X73 compliant devices, but also noncompliant health devices, by interfacing them with an X73 wrapper module as we explain in this paper. Besides, we propose a configurable X73 mobile application, designed to work with any X73 compliant device. We designed and implemented the proposed framework, and the X73 mobile app, and conducted an experiment as a proof of concept of the digital twin in the domain of health and well-being in smart cities. The experiment shows promising results and the potential of benefiting from the proposed framework, by gaining insights on the health and well-being of individuals, and providing feedback to the individual and caregiver.

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The True Digital Twin Concept for Fatigue Re-Assessment of Marine Structures

Cited by 36 publications

References 1 publication

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

Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review

An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities

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