Structural monitoring of a wind turbine steel tower - Part I: system description and calibration

Rebelo, Carlos; Veljković, Milan; Silva, L. Simoes da; Simões, Rui; Henriques, José

doi:10.12989/was.2012.15.4.285

Cited by 15 publications

(18 citation statements)

References 5 publications

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“…where for air density, ρ is equal to 1.25 kg/m 3 , for wind speed, v is expressed in m/s, and for the wind pressure, p is in N/m 2 . According to Rebelo et al [28,29], the magnitude of the average maximum bending moment at the base of the tower under monitoring is 2.9×10 7 N•m. The self-weight of the tower was calculated by the software, based on the dimensions of the tower and the material density.…”

Section: On the Numerical Modelingmentioning

confidence: 95%

“…The numerical models were developed using the commercial package ABAQUS. The models were first validated with respect to existing data recently obtained by Rebelo et al [28,29] who monitored the structural response of an actual wind turbine tower of 76.15 m height.…”

Section: On the Numerical Modelingmentioning

confidence: 99%

“…The self-weight of the wind turbine, a bending moment created by the gravity of wind turbine with an eccentricity and a horizontal wind load applied on the blades of the towers can be simply applied to the reference node. The horizontal force is 380 kN according to the inventory data of Rebelo et al [28,29]. A non-linear static analysis has been performed to solve the numerical model.…”

Section: On the Numerical Modelingmentioning

confidence: 99%

“…In this paper, a repowering solution with reference to the design of wind turbine towers is numerically performed by means of the finite element software ABAQUS [27]. Firstly, the results of the numerical model are compared with the experimental data obtained by Rebelo et al [28,29]. Secondly, to repower wind turbine towers in a more efficient way, the wall thickness (referred to as "T"), the mid-section width-to-thickness ratio of the ring sections (referred to as "R") and the spacing of the stiffening rings (referred to as "H") are considered as the repowering design variables for each height case of 50 m, 150 m and 250 m. To obtain a direct comparison, the maximum von Mises stresses and horizontal sways of the finite element model towers are calculated for each height case.…”

Section: Introductionmentioning

confidence: 99%

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Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings

Yang

Baniotopoulos

2020

Energies

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This paper presents a robust repowering approach to the structural response of tubular steel wind turbine towers enhanced by internal stiffening rings. First, a structural response simulation model was validated by comparison with the existing experimental data. This was then followed with a mesh density sensitivity analysis to obtain the optimum element size. When the outdated wind turbine system needs to be upgraded, the wall thickness, the mid-section width-to-thickness ratio and the spacing of the stiffening rings of wind turbine tower were considered as the critical design variables for repowering. The efficiency repowering range of these design variables of wind turbine towers of various heights between 50 and 250 m can be provided through the numerical analysis. Finally, the results of efficiency repowering range of design variables can be used to propose a new optimum design of the wind turbine system when repowering a wind farm.

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Section: On the Numerical Modelingmentioning

confidence: 95%

Section: On the Numerical Modelingmentioning

confidence: 99%

Section: On the Numerical Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings

Yang

Baniotopoulos

2020

Energies

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“…Nowadays, the finite element method is widely used to analyze the dynamic responses of VAWTs numerically . Rebelo et al used a numerical model of support tower setup by finite element technique to compare with the measurement results and verified its feasibility. Avila et al solved the vibration equation of a wind turbine tower and got a valuable result.…”

Section: Introductionmentioning

confidence: 99%

Flow characteristics and dynamic responses of a parked straight‐bladed vertical axis wind turbine

Kuang

Chen

et al. 2019

Energy Science & Engineering

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With the development of urbanization and the application of renewable energy, wind turbine is becoming an important approach for wind energy reservation and utilization. This study provides a numerical investigation on understanding the surface pressure distribution, flow characteristics and dynamic responses of a parked straight‐bladed vertical axis wind turbine (VAWT), which is helpful for its design. Together with the two‐way coupling method between simulation platforms such as STAR‐CCM+ and ABAQUS, the SST k‐ω turbulence model is used to obtain the surface pressure and surrounding flow of the VAWT, and the finite element method is used to obtain the dynamic responses of its structural components. The results show that the contours of the pressure distribution on the windward surface of the VAWT are similar even under a few different conditions, and the deformation of the VAWT can lead to changes in surface pressure; the turbulent flow characteristics and the wake effect become more obvious as the wind velocity increases; the blades and support arms of the VAWT need to be reinforced during the design, and the effect of the parked condition on the dynamic responses of the VAWT can be neglected. The two‐way coupling method as well as the numerical simulation results is expected to provide references for the design of VAWTs subjected to coming wind action.

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Detektion von Vorspannkraftverlusten in Schraubenverbindungen auf Basis elektromechanischer Impedanzspektren

Pak,

Sahm,

Dreisbach

et al. 2023

Stahlbau

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Das FOSTA‐Forschungsprojekt P 1403 „Detektion von Vorspannkraftverlusten in Schrauben auf Basis elektromechanischer Impedanzspektren“ zielt auf die Entwicklung eines statistisch abgesicherten Verfahrens ab, welches im Rahmen eines Structural Health Monitorings (SHM) eine kostengünstige, kontinuierliche Überwachung von Schraubenkräften in vorgespannten HV‐Verbindungen auf Basis von elektromechanischen Impedanzspektren (EMI) ermöglicht. Die EMI‐Methode basiert auf der indirekten Messung der frequenz‐ und vorspannkraftabhängigen mechanischen Impedanz der Schraube. Im Rahmen des Projekts konnte ein Indikator von den Messdaten abgeleitet werden, der mit der Vorspannkraft korreliert. Des Weiteren wurden im Rahmen des Projekts zusätzliche Effekte auf EMI‐Spektren, die für eine zuverlässige Vorspannkraftüberwachung von dem Einfluss der Vorspannkraft selbst unterschieden werden müssen, untersucht. Hierbei handelt es sich u. a. um den Einfluss der Temperatur. In dieser Veröffentlichung werden diese Einflüsse näher untersucht. Dies geschieht zum einen auf Basis von Simulationen, die mithilfe einer FE‐Software durchgeführt wurden, und zum anderen mithilfe von Experimenten.

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Structural monitoring of a wind turbine steel tower - Part I: system description and calibration

Cited by 15 publications

References 5 publications

Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings

Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings

Flow characteristics and dynamic responses of a parked straight‐bladed vertical axis wind turbine

Detektion von Vorspannkraftverlusten in Schraubenverbindungen auf Basis elektromechanischer Impedanzspektren

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