Simulating Free-Surface FSI and Fatigue Damage in Wind-Turbine Structural Systems

Bazilevs, Yuri; Yan, Jinhui; Deng, Xiaowei; Korobenko, Artem

doi:10.1007/978-3-319-96469-0_1

Cited by 4 publications

(3 citation statements)

References 106 publications

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“…The big data challenge is mitigated with the reduced order modeling and ensemble methods that afford systems-level performance and analysis. DDDAS methods were used to control wind turbines [28] and wind turbine farms [29]. Hence, for over a decade, there have been approaches to manage wind power plants by integrating DTs and cloud technologies with extensive data analysis to set up remote control stations [30].…”

Section: Digital Twinsmentioning

confidence: 99%

The Microverse: A Task-Oriented Edge-Scale Metaverse

Qu,

Hatami,

et al. 2024

Future Internet

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Over the past decade, there has been a remarkable acceleration in the evolution of smart cities and intelligent spaces, driven by breakthroughs in technologies such as the Internet of Things (IoT), edge–fog–cloud computing, and machine learning (ML)/artificial intelligence (AI). As society begins to harness the full potential of these smart environments, the horizon brightens with the promise of an immersive, interconnected 3D world. The forthcoming paradigm shift in how we live, work, and interact owes much to groundbreaking innovations in augmented reality (AR), virtual reality (VR), extended reality (XR), blockchain, and digital twins (DTs). However, realizing the expansive digital vista in our daily lives is challenging. Current limitations include an incomplete integration of pivotal techniques, daunting bandwidth requirements, and the critical need for near-instantaneous data transmission, all impeding the digital VR metaverse from fully manifesting as envisioned by its proponents. This paper seeks to delve deeply into the intricacies of the immersive, interconnected 3D realm, particularly in applications demanding high levels of intelligence. Specifically, this paper introduces the microverse, a task-oriented, edge-scale, pragmatic solution for smart cities. Unlike all-encompassing metaverses, each microverse instance serves a specific task as a manageable digital twin of an individual network slice. Each microverse enables on-site/near-site data processing, information fusion, and real-time decision-making within the edge–fog–cloud computing framework. The microverse concept is verified using smart public safety surveillance (SPSS) for smart communities as a case study, demonstrating its feasibility in practical smart city applications. The aim is to stimulate discussions and inspire fresh ideas in our community, guiding us as we navigate the evolving digital landscape of smart cities to embrace the potential of the metaverse.

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Section: Digital Twinsmentioning

confidence: 99%

The Microverse: A Task-Oriented Edge-Scale Metaverse

Qu,

Hatami,

et al. 2024

Future Internet

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“…The last publication [27] in 2017 presented our first unsteady blood flow simulation on a full blood pump based on the residual-based Variational Multiscale method (VMS) [16,5,4,17]. The blood pump geometry is provided by the U.S. Food and Drug Administration (FDA) under the framework of Critical Path Initiative (CPI).…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Assessment of the Blood Damage in a Fda Blood Pump

Song¹,

Heuveline²

2019

Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECO

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“…">IntroductionPipes conveying fluid are prevalent in many fields, including marine, civil engineering, nuclear power industries, petroleum, and water conservancy systems in daily life [1]. As an inherent phenomenon, fluid-structure interaction (FSI) always occurs in water conveyance pipelines [2][3][4]. Because of the existence of FSI, those pipes with few supports or thin walls show poor robustness, where the FSI of pipes is enhanced [5].…”

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confidence: 99%

Fluid-Structure Interaction Response of a Water Conveyance System with a Surge Chamber during Water Hammer

Guo

Zhou

et al. 2020

Water

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Fluid-structure interaction (FSI) is a frequent and unstable inherent phenomenon in water conveyance systems. Especially in a system with a surge chamber, valve closing and the subsequent water level oscillation in the surge chamber are the excitation source of the hydraulic transient process. Water-hammer-induced FSI has not been considered in preceding research, and the results without FSI justify further investigations. In this study, an FSI eight-equation model is presented to capture its influence. Both the elbow pipe and surge chamber are treated as boundary conditions, and solved using the finite volume method (FVM). After verifying the feasibility of using FVM to solve FSI, friction, Poisson, and junction couplings are discussed in detail to separately reveal the influence of a surge chamber, tow elbows, and a valve on FSI. Results indicated that the major mechanisms of coupling are junction coupling and Poisson coupling. The former occurs in the surge chamber and elbows. Meanwhile, a stronger pressure pulsation is produced at the valve, resulting in a more complex FSI response in the water conveyance system. Poisson coupling and junction coupling are the main factors contributing to a large amount of local transilience emerging on the dynamic pressure curves. Moreover, frictional coupling leads to the lower amplitudes of transilience. These results indicate that the transilience is induced by the water hammer-structure interaction and plays important roles in the orifice optimization in the surge chamber.Keywords: fluid-structure interaction; pipe flow; finite volume method; water hammer; transient flow IntroductionPipes conveying fluid are prevalent in many fields, including marine, civil engineering, nuclear power industries, petroleum, and water conservancy systems in daily life [1]. As an inherent phenomenon, fluid-structure interaction (FSI) always occurs in water conveyance pipelines [2][3][4]. Because of the existence of FSI, those pipes with few supports or thin walls show poor robustness, where the FSI of pipes is enhanced [5]. Therefore, the FSI responses must be considered when analyzing the characteristics of water conveyance systems [6]. The types of coupling that occur between the pipeline and fluid mainly include friction coupling, Poisson coupling, and junction coupling, among which the former two coupling take place throughout the whole pipeline. However, the last one only happens locally in pipes, including in elbows, branches, valves, boundaries, and variable cross sections [7], where the system coupling is much stronger [8]. Amongst these three coupling forms, friction coupling has the weakest response and shows changes in its magnitude over a long period [9]. Meanwhile, as the most important coupling form, junction coupling produces a pressure head larger Water 2020, 12, 1025 2 of 18 than the classical water hammer, and greatly depends on the robustness of the system [10]. Poisson coupling and friction coupling can greatly influence junction coupling, and, in turn, junction coupling ...

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Simulating Free-Surface FSI and Fatigue Damage in Wind-Turbine Structural Systems

Cited by 4 publications

References 106 publications

The Microverse: A Task-Oriented Edge-Scale Metaverse

The Microverse: A Task-Oriented Edge-Scale Metaverse

Uncertainty Assessment of the Blood Damage in a Fda Blood Pump

Fluid-Structure Interaction Response of a Water Conveyance System with a Surge Chamber during Water Hammer

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