Capacity and Demand Factors changing over time. Application to wind turbine steel towers

Inzunza-Aragón, Indira; Ruiz, Sonia E.

doi:10.1016/j.engstruct.2019.110156

Cited by 2 publications

(3 citation statements)

References 35 publications

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“…erefore, to simulate the wind forces on the tower, the auto-regressive moving average (ARMA) method [58] was applied at each meter of the tower's height. Concerning the force on the rotor, the blade element momentum (BEM) method was applied for the rotor in operation, while the simplified BEM method was applied for the standstill condition [59].…”

Section: Case Studymentioning

confidence: 99%

“…As a first step, a parametric analysis of stability and buckling is performed to determine the support towers' acceptable geometry; it is carried out based on what is established by DNV-Riso [60] and Nicholson [61]. Different support tower geometries were tested [59] with heights of 70, 75, 80, and 85 m, lower and upper diameters of 3.0 to 4.5 m, and thicknesses of 2.5 to 4.5 cm. e calculation of the displacement at the top of each tower model, the tower fundamental vibration frequency, the analysis of stability, and the tower's buckling at each meter was according to Section 7.4.7 of DNV-Risø [60].…”

Section: Parametric Analysis Of Stability and Bucklingmentioning

confidence: 99%

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Use of Artificial Neural Networks and Response Surface Methodology for Evaluating the Reliability Index of Steel Wind Towers

Inzunza-Aragón

Ruiz

Cruz-Reyes

2022

Advances in Civil Engineering

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The estimation of structural reliability is a process that requires a large number of computational hours when statistical data are not available since it is necessary to perform a large amount of analysis or numerical simulations to estimate parameters related to the reliability. A methodology is proposed for estimating the structural reliability index, as well as the demand and structural capacity factors inherent to the structure, given the fundamental vibration period and the height of the structure, by using artificial neural networks (ANN) and, alternatively, the response surface method (RSM). Both approaches are applied to steel wind turbine towers. For the cases studied, ANN allow evaluating the reliability index and both the demand and structural capacity factors with greater accuracy than when using RSM.

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Section: Case Studymentioning

confidence: 99%

Section: Parametric Analysis Of Stability and Bucklingmentioning

confidence: 99%

Use of Artificial Neural Networks and Response Surface Methodology for Evaluating the Reliability Index of Steel Wind Towers

Inzunza-Aragón

Ruiz

Cruz-Reyes

2022

Advances in Civil Engineering

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“…Issues that have attracted particular attention include the arrangement of stiffening rings to improve buckling resistance [31][32][33], measures to recover the lost strength and stiffness due to the man-door opening near the tower base [34][35][36][37][38] and the design of ring flange connections between consecutive segments [39,40]. Extensive research efforts have been directed towards structural analysis and design methods [41][42][43][44][45][46][47], as well as towards optimizing the design to achieve reduced tower weight and cost [10,[48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

A Novel Tripod Concept for Onshore Wind Turbine Towers

Gantes

Billi

Güldogan³

et al. 2021

Energies

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A wind turbine tower assembly is presented, consisting of a lower “tripod section” and an upper tubular steel section, aiming at enabling very tall hub heights for optimum exploitation of the wind potential. The foundation consists of sets of piles connected at their top by a common pile cap below each tripod leg. The concept can be applied for the realization of new or the upgrade of existing wind turbine towers. It is adjustable to both onshore and offshore towers, but emphasis is directed towards overcoming the stricter onshore transportability constraints. For that purpose, pre-welded individual tripod parts are transported and are then bolted together during erection, contrary to fully pre-welded tripods that have been used in offshore towers. Alternative constructional details of the tripod joints are therefore proposed that address the fabrication, transportability, on-site erection and maintenance requirements and can meet structural performance criteria. The main structural features are demonstrated by means of a typical case study comprising a 180-m-tall tower, consisting of a 120-m-tall tubular superstructure on top of a 60-m-tall tripod substructure. Realistic cross-sections are calculated, leading to weight and cost estimations, thus demonstrating the feasibility and competitiveness of the concept.

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Capacity and Demand Factors changing over time. Application to wind turbine steel towers

Cited by 2 publications

References 35 publications

Use of Artificial Neural Networks and Response Surface Methodology for Evaluating the Reliability Index of Steel Wind Towers

Use of Artificial Neural Networks and Response Surface Methodology for Evaluating the Reliability Index of Steel Wind Towers

A Novel Tripod Concept for Onshore Wind Turbine Towers

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