• Title/Summary/Keyword: Computational Wind Engineering

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CFD modelling and the development of the diffuser augmented wind turbine

  • Phillips, D.G.;Richards, P.J.;Flay, R.G.J.
    • Wind and Structures
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    • v.5 no.2_3_4
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    • pp.267-276
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    • 2002
  • Research being undertaken at the University of Auckland has enabled Vortec Energy to improve the performance of the Vortec 7 Diffuser Augmented Wind Turbine. Computational Fluid Dynamic (CFD) modelling of the Vortec 7 was used to ascertain the effectiveness of geometric modifications to the Vortec 7. The CFD work was then developed to look at new geometries, and refinement of these led to greater power augmentation for a given diffuser exit area ratio. Both full scale analysis of the Vortec 7 and a wind tunnel investigation of the development design have been used for comparison with the CFD model.

Multi-body Dynamic Analysis for the Drivetrain System of a Large Wind Turbine Based on GL 2010 (GL 2010 기반 대형 풍력터빈 드라이브트레인 시스템 다물체 동역학 해석기법)

  • Jeong, Dae-Ha;Kim, Dong-Hyun;Kim, Myung-Hwan
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.24 no.5
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    • pp.363-373
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    • 2014
  • In this study, computational multi-body dynamic analyses for the drivetrain system of a 5 MW class offshore wind turbine have been conducted using efficient equivalent modeling technique based on the design guideline of GL 2010. The present drivetrain system is originally modeled and its related system data is adopted from the NREL 5 MW wind turbine model. Efficient computational method for the drivetrain system dynamics is proposed based on an international guideline for the certification of wind turbine. Structural dynamic behaviors of drivetrain system with blade, hub, shaft, gearbox, supports, brake disk, coupling, and electric generator have been analyzed and the results for natural frequency and equivalent torsional stiffness of the drivetrain system are presented in detail. It is finally shown that the present multi-body dynamic analysis method gives good agreement with the previous results of the 5 MW class wind turbine system.

Numerical framework for stress cycle assessment of cables under vortex shedding excitations

  • Ruiz, Rafael O.;Loyola, Luis;Beltran, Juan F.
    • Wind and Structures
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    • v.28 no.4
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    • pp.225-238
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    • 2019
  • In this paper a novel and efficient computational framework to estimate the stress range versus number of cycles curves experienced by a cable due to external excitations (e.g., seismic excitations, traffic and wind-induced vibrations, among others) is proposed. This study is limited to the wind-cable interaction governed by the Vortex Shedding mechanism which mainly rules cables vibrations at low amplitudes that may lead to their failure due to bending fatigue damage. The algorithm relies on a stochastic approach to account for the uncertainties in the cable properties, initial conditions, damping, and wind excitation which are the variables that govern the wind-induced vibration phenomena in cables. These uncertainties are propagated adopting Monte Carlo simulations and the concept of importance sampling, which is used to reduce significantly the computational costs when new scenarios with different probabilistic models for the uncertainties are evaluated. A high fidelity cable model is also proposed, capturing the effect of its internal wires distribution and helix angles on the cables stress. Simulation results on a 15 mm diameter high-strength steel strand reveal that not accounting for the initial conditions uncertainties or using a coarse wind speed discretization lead to an underestimation of the stress range experienced by the cable. In addition, parametric studies illustrate the computational efficiency of the algorithm at estimating new scenarios with new probabilistic models, running 3000 times faster than the base case.

Low-fidelity simulations in Computational Wind Engineering: shortcomings of 2D RANS in fully separated flows

  • Bertani, Gregorio;Patruno, Luca;Aguera, Fernando Gandia
    • Wind and Structures
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    • v.34 no.6
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    • pp.499-510
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    • 2022
  • Computational Wind Engineering has rapidly grown in the last decades and it is currently reaching a relatively mature state. The prediction of wind loading by means of numerical simulations has been proved effective in many research studies and applications to design practice are rapidly spreading. Despite such success, caution in the use of simulations for wind loading assessment is still advisable and, indeed, required. The computational burden and the know-how needed to run high-fidelity simulations is often unavailable and the possibility to use simplified models extremely attractive. In this paper, the applicability of some well-known 2D unsteady RANS models, particularly the k-ω SST, in the aerodynamic characterization of extruded bodies with bluff sections is investigated. The main focus of this paper is on the drag coefficient prediction. The topic is not new, but, in the authors' opinion, worth a careful revisitation. In fact, despite their great technical relevance, a systematic study focussing on sections which manifest a fully detached flow configuration has been overlooked. It is here shown that the considered 2D RANS exhibit a pathological behaviour, failing to reproduce the transition between reattached and fully detached flow regime.

Prediction of aerodynamic coefficients of streamlined bridge decks using artificial neural network based on CFD dataset

  • Severin Tinmitonde;Xuhui He;Lei Yan;Cunming Ma;Haizhu Xiao
    • Wind and Structures
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    • v.36 no.6
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    • pp.423-434
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    • 2023
  • Aerodynamic force coefficients are generally obtained from traditional wind tunnel tests or computational fluid dynamics (CFD). Unfortunately, the techniques mentioned above can sometimes be cumbersome because of the cost involved, such as the computational cost and the use of heavy equipment, to name only two examples. This study proposed to build a deep neural network model to predict the aerodynamic force coefficients based on data collected from CFD simulations to overcome these drawbacks. Therefore, a series of CFD simulations were conducted using different geometric parameters to obtain the aerodynamic force coefficients, validated with wind tunnel tests. The results obtained from CFD simulations were used to create a dataset to train a multilayer perceptron artificial neural network (ANN) model. The models were obtained using three optimization algorithms: scaled conjugate gradient (SCG), Bayesian regularization (BR), and Levenberg-Marquardt algorithms (LM). Furthermore, the performance of each neural network was verified using two performance metrics, including the mean square error and the R-squared coefficient of determination. Finally, the ANN model proved to be highly accurate in predicting the force coefficients of similar bridge sections, thus circumventing the computational burden associated with CFD simulation and the cost of traditional wind tunnel tests.

A GUIDE FOR NUMERICAL WIND TUNNEL ANALYSIS IN ORDER TO PREDICT WIND LOAD ON A BUILDING (건축물의 풍하중을 예측하기 위한 수치풍동기법)

  • Lee, Mung-Sung;Lee, June-Hee;Hur, Nahm-Keon;Choi, Chang-Koon
    • 한국전산유체공학회:학술대회논문집
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    • 2010.05a
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    • pp.5-9
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    • 2010
  • A numerical wind tunnel simulation is performed in order to predict wind loads acting on a building. The aim of the present study is to suggest a guideline for the numerical wind tunnel analysis, which could provide more detail wind load distributions compared to the wind code and expensive wind tunnel experiments. To validate the present numerical simulation, wind-induced loads on a 6 m cube model is predicted. Atmospheric boundary layer is used as a inlet boundary condition. Various effect of numerical methods are investigated such as size of computational domain, grid density, turbulence model and discretization scheme. The appropriate procedure for the numerical wind tunnel analysis is suggested through the present study.

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Interference Effects of Change in Wind Passage of a Building Group on Wind Loads and Wind Environments (건축물군의 바람길변화로 인한 풍하중 상호간섭 및 풍환경)

  • Cho, Kang-Pyo;Hong, Sung-Il;Kim, Mu-Hwan;Lee, Ok-Jin
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.402-409
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    • 2008
  • Wind loads and environments in realistic situations surrounded by neighboring buildings may be considerably different from those in idealized or simplified situations such as codes and standards. Interference effects of change in wind passage of a building group on wind loads and wind environments are reviewed. Wind-induced interference effects depend mainly on the building geometry and arrangement of these structures, their orientation and upstream terrain conditions. The most important factor among them may be the arrangement of building structures which can change the wind direction directly. Interference effects regarding wind loads are discussed with examples of window damages by typhoon and of pressure measurements in the boundary layer wind tunnel. Wind environment problems are also discussed, specially underlined on pedestrian comfort and safety. Various evaluation techniques or standards of wind environment are introduced. The change of wind velocity between the panel-type apartment buildings is examined, depending on the distance each other.

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Setting the scene: CFD and symposium overview

  • Murakami, Shuzo
    • Wind and Structures
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    • v.5 no.2_3_4
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    • pp.83-88
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    • 2002
  • The present situation of CWE(Computational Wind Engineering) and the papers presented to the CWE 2000 Symposium are reviewed from the following viewpoints; 1) topics treated, 2) utilization of commercial code (software), 3) incompleteness of CWE, 4) remaining research subjects, 5) prediction accuracy, 6) new fields of CWE application, etc. Firstly, new tendencies within CWE applications are indicated. Next, the over-attention being given to the application field and the lack of attention to fundamental problems, including prediction error analysis, are pointed out. Lastly, the future trends of CFD (Computational Fluid Dynamics) applications to wind engineering design are discussed.

Predictive Control of Structural Vibration Subject to Wind Loads (풍하중에 대한 구조진동의 예측제어)

  • 최창근;권대건;이은진
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1996.10a
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    • pp.29-36
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    • 1996
  • A procedure for the predictive control for structural vibration control in building subject to wind loads is presented. The building motions are modeled by the first mode of the response. Wind velocities are generated by the simulation using power spectral density function. Predictive control algorithm is the discrete-time formulation and that is developed as a control strategy that computes the control signal which makes the predicted process output equal to a desired process output. Results on the reduction of the dynamic response and control effectiveness of the algorithm are presented and discussed.

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Wind Effects on Loose-Laid Roofing Paver Systems (조립식 지붕 외장 시스템에 대한 풍하중 평가)

  • Ham, Hee-Jung;Lee, Jaehong-
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1994.10a
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    • pp.47-54
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    • 1994
  • Full-scale and 1:15 scale fluid model experiments of roof ballast pavers are employed to optimize paver geometry and study wind loading and performance of roof ballast pavers. Wind pressures above and beneath pavers are conducted for buildings of different heights and in different flow conditions. The effects of the side hole size and the underneath rib height under the wind loading on pavers and the effects of roof parapet height as well as flow conditions on the performance of pavers are studied. Incorporation of wind tunnel experimental results into code statements is also provided.

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