Journal articles: 'Computational wind engineering'

1

Murakami, S. "Computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 36 (January 1990): 517–38. http://dx.doi.org/10.1016/0167-6105(90)90335-a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Turkiyyah, George M., and Dorothy A. Reed. "Computational wind engineering." Engineering Structures 18, no. 11 (November 1996): 855. http://dx.doi.org/10.1016/0141-0296(95)00201-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

ISHIHARA, Takeshi, and Atsushi YAMAGUCHI. "Computational Wind Engineering -Introduction-." Wind Engineers, JAWE 34, no. 4 (2009): 401–2. http://dx.doi.org/10.5359/jawe.34.401.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

ISHIHARA, Takeshi. "Future of Computational Wind Engineering." Wind Engineers, JAWE 38, no. 4 (2013): 385–86. http://dx.doi.org/10.5359/jawe.38.385.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

KAWAI, Hiromasa. "Special Issue of Computational Wind Engineering." Wind Engineers, JAWE 2001, no. 86 (2001): 3. http://dx.doi.org/10.5359/jawe.2001.3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Panneer Selvam, R. "Multigrid methods for computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 67-68 (April 1997): 952. http://dx.doi.org/10.1016/s0167-6105(97)80171-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

ITO, Yasuaki, Naoki IKEGAYA, Tsubasa OKAZE, Hiroto KATAOKA, Hiroshi KATSUCHI, Hideki KIKUMOTO, Naoko KONNO, et al. "6th International Symposium on Computational Wind Engineering." Wind Engineers, JAWE 39, no. 4 (2014): 365–79. http://dx.doi.org/10.5359/jawe.39.365.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

ITO, Yasuaki, Yumi IIDA, Naoki IKEGAYA, Yasuyuki ISHIDA, Tsubasa OKAZE, Hidenori KAWAI, Hideki KIKUMOTO, et al. "7th International Symposium on Computational Wind Engineering." Wind Engineers, JAWE 43, no. 4 (2018): 406–14. http://dx.doi.org/10.5359/jawe.43.406.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Michalski, Alexander, Bernhard Gawenat, Philippe Gelenne, and Eberhard Haug. "Computational wind engineering of large umbrella structures." Journal of Wind Engineering and Industrial Aerodynamics 144 (September 2015): 96–107. http://dx.doi.org/10.1016/j.jweia.2015.05.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Stathopoulos, Ted. "COMPUTATIONAL WIND ENGINEERING: IS IT MATURE FOR CIVIL ENGINEERING APPLICATIONS?" Journal of Aerospace Engineering 12, no. 4 (October 1999): 111–12. http://dx.doi.org/10.1061/(asce)0893-1321(1999)12:4(111).

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

YOSHIE, Ryuichiro, Satoshi ABE, Satoru IIZUKA, Yoshiaki ITOU, Tsubasa OKAZE, Masaaki OHBA, Yuji OHYA, et al. "The Fifth International Symposium on Computational Wind Engineering." Wind Engineers, JAWE 35, no. 4 (2010): 347–63. http://dx.doi.org/10.5359/jawe.35.347.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

OKAJIMA, Atsushi. "Application of computational fluid-dynamics to wind engineering." Doboku Gakkai Ronbunshu, no. 446 (1992): 1–12. http://dx.doi.org/10.2208/jscej.1992.446_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Pielke, Roger A., and Melville E. Nicholls. "Use of meteorological models in computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 67-68 (April 1997): 363–72. http://dx.doi.org/10.1016/s0167-6105(97)00086-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Stathopoulos, Theodore. "Computational wind engineering: Past achievements and future challenges." Journal of Wind Engineering and Industrial Aerodynamics 67-68 (April 1997): 509–32. http://dx.doi.org/10.1016/s0167-6105(97)00097-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Cochran, Leighton, and Russ Derickson. "A physical modeler's view of Computational Wind Engineering." Journal of Wind Engineering and Industrial Aerodynamics 99, no. 4 (April 2011): 139–53. http://dx.doi.org/10.1016/j.jweia.2011.01.015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Schlünzen, K. Heinke, and Rüdiger Höffer. "6th International Symposium on Computational Wind Engineering – CWE2014." Journal of Wind Engineering and Industrial Aerodynamics 144 (September 2015): 1–2. http://dx.doi.org/10.1016/j.jweia.2015.07.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Baskaran, A., and T. Stathopoulos. "Prediction of wind effects on buildings using computational methods — review of the state of the art." Canadian Journal of Civil Engineering 21, no. 5 (October 1, 1994): 805–22. http://dx.doi.org/10.1139/l94-087.

Full text

Abstract:

Advancements in computer software and hardware technology provide a new direction for analyzing engineering problems. Recently the field of wind engineering has gained significant momentum in the computer modelling process. This paper reviews the state of the art in computational wind engineering, including the finite element method, finite difference method, and control volume technique. A portion of this paper summarizes the research in this area carried out by the authors. Computations have been made for a variety of building configurations, including normal wind flow conditions for a building with different aspect ratios, and modelling wind environmental conditions around groups of buildings. The computer modelling technique may eventually enhance the design of buildings and structures against wind loading and supplement the current design practice of using building codes and standards or performing experiments in wind tunnels. Key words: buildings, computer modelling, pressure, velocity, wind engineering, wind tunnels.

APA, Harvard, Vancouver, ISO, and other styles

18

Vijgen, P. M. H. W., C. P. van Dam, and B. J. Holmes. "Sheared wing-tip aerodynamics - Wind-tunnel and computational investigation." Journal of Aircraft 26, no. 3 (March 1989): 207–13. http://dx.doi.org/10.2514/3.45747.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Ji, Bai Feng, Wei Lian Qu, Yan Li, Yi Fei Wang, and Zhong Shan He. "Study on Three-Dimensional Wind Field Characteristics of Thunderstorm Microbursts Using Computational Fluid Dynamics." Advanced Materials Research 243-249 (May 2011): 5033–36. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5033.

Full text

Abstract:

Thunderstorm microbursts, which are sources of extreme wind loadings in nature, have caused numerous structural failures, especially collapses of transmission tower around the world. It is important to study wind field characteristics of thunderstorm microbusts from the perspective of wind-resistant design. In this paper, the three-dimensional wind field characteristics of thunderstorm microbursts were studied using computational simulation method. Firstly, the three-dimensional wind field of microburst was computational simulated using time-filtered Reynolds Averaged Navier-Stokes (RANS) numerical computational method. Then, the three-dimensional wind field characteristics including the wind distribution of wind velocity at different heights, the wind contours at lower altitude positions were studied in detail. The results indicate that the three-dimensional wind field of microbursts winds presents quite different characteristics at different heights and radial positions.

APA, Harvard, Vancouver, ISO, and other styles

20

Murakami, Shuzo. "Current status and future trends in computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 67-68 (April 1997): 3–34. http://dx.doi.org/10.1016/s0167-6105(97)00230-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Richards, P. J., and S. E. Norris. "Appropriate boundary conditions for computational wind engineering models revisited." Journal of Wind Engineering and Industrial Aerodynamics 99, no. 4 (April 2011): 257–66. http://dx.doi.org/10.1016/j.jweia.2010.12.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Yamada, Tetsuji, and Katsuyuki Koike. "Downscaling mesoscale meteorological models for computational wind engineering applications." Journal of Wind Engineering and Industrial Aerodynamics 99, no. 4 (April 2011): 199–216. http://dx.doi.org/10.1016/j.jweia.2011.01.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Kato, S., S. Murakami, Y. Utsumi, and K. Mizutani. "Application of massive parallel computer to computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 46-47 (August 1993): 393–400. http://dx.doi.org/10.1016/0167-6105(93)90305-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Davenport, A. G. "A contribution to the workshop on computational wind engineering." Journal of Wind Engineering and Industrial Aerodynamics 46-47 (August 1993): 899–901. http://dx.doi.org/10.1016/0167-6105(93)90372-u.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Vijgen, P. M. H. W., C. P. van Dam, and B. J. Holmes. "Errata: Sheared Wing-Tip Aerodynamics: Wind-Tunnel and Computational Investigation." Journal of Aircraft 26, no. 8 (August 1989): 792. http://dx.doi.org/10.2514/3.56814.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Deineko, Andrei, Aleksey Shamshurin, and Narek Kazaryan. "SELECTION OF THE COMPUTATIONAL MODEL OF WIND FLOW IN THE PROBLEMS OF COMPUTATIONAL ARCHITECTURAL AND CIVIL ENGINEERING AERODYNAMICS IN ACCORDANSE WITH REGULATORY AND TECHNICAL DOCUMENTS." International Journal for Computational Civil and Structural Engineering 15, no. 1 (March 25, 2019): 14–28. http://dx.doi.org/10.22337/2587-9618-2019-15-1-14-28.

Full text

Abstract:

An overview of the main directions of numerical simulation of problems of architectural and civil engineering aerodynamics based on Computational Fluid Dynamics (CFD) is presented. The main advantages of numerical simulation in comparison with traditional methods of aero-physical modeling in wind tunnels are highlighted. The basic principles of numerical simulation of wind loads and actions on buildings and structures are outlined. In modern practice, numerical modeling by finite volume method is used with the decomposition of the velocity of the turbulent wind flow into the average and pulsation component within the averaged by Reynolds solution of Navier-Stokes equations using the semi-empirical turbulence model k-ш SST. In practice, the problem of the legitimate (in accordance with the requirements of building codes) selection of a computational model of wind flow is very important. This is equivalent to the assignment of boundary conditions within numerical simulation. The computational model of the wind, presented in the Russian building codes, requires additions to solve the problems of numerical simulation of architectural and civil engineering aerodynamics. A detailed comparison of the computational models of wind flow in Russian and foreign building codes is carried out. The following wind flow parameters are analyzed: the profile of the average wind speed, the profile of the intensity of turbulence, the profile of the scale of turbulence. A table of correspondence of terrain types according to the classification of Russian and foreign codes is proposed. The possibility of determining the parameters of the computational wind flow model based on the joint use of building codes in force in Russia and Belarus is shown. A set of measures is proposed with the goal of creating a regulatory and technical environment for the practical application of computational architectural and civil engineering aerodynamics in real design.

APA, Harvard, Vancouver, ISO, and other styles

27

Blocken, Bert. "50 years of Computational Wind Engineering: Past, present and future." Journal of Wind Engineering and Industrial Aerodynamics 129 (June 2014): 69–102. http://dx.doi.org/10.1016/j.jweia.2014.03.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Löhner, Rainald, Eberhard Haug, Alexander Michalski, Britto Muhammad, Atis Drego, Ramakrishna Nanjundaiah, and Raham Zarfam. "Recent advances in computational wind engineering and fluid–structure interaction." Journal of Wind Engineering and Industrial Aerodynamics 144 (September 2015): 14–23. http://dx.doi.org/10.1016/j.jweia.2015.04.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Bai, Yuguang, Youwei Zhang, Tingting Liu, David Kennedy, and Fred Williams. "Numerical predictions of wind-induced buffeting vibration for structures by a developed pseudo-excitation method." Journal of Low Frequency Noise, Vibration and Active Control 38, no. 2 (February 14, 2019): 510–26. http://dx.doi.org/10.1177/1461348419828248.

Full text

Abstract:

A numerical analysis method for wind-induced response of structures is presented which is based on the pseudo-excitation method to significantly reduce the computational complexity while preserving accuracy. Original pseudo-excitation method was developed suitable for adoption by combining an effective computational fluid dynamic method which can be used to replace wind tunnel tests when finding important aerodynamic parameters. Two problems investigated are gust responses of a composite wing and buffeting vibration responses of the Tsing Ma Bridge. Atmospheric turbulence effects are modeled by either k–ω shear stress transport or detached eddy simulation. The power spectral responses and variances of the wing are computed by employing the Dryden atmospheric turbulence spectrum and the computed values of the local stress standard deviation of the Tsing Ma Bridge are compared with experimental values. The simulation results demonstrate that the proposed method can provide highly efficient numerical analysis of two kinds of wind-induced responses of structures and hence has significant benefits for wind-induced vibration engineering.

APA, Harvard, Vancouver, ISO, and other styles

30

Husain, Z., M. Z. Abdullah, and T. C. Yap. "Two-Dimensional Analysis of Tandem/Staggered Airfoils Using Computational Fluid Dynamics." International Journal of Mechanical Engineering Education 33, no. 3 (July 2005): 195–207. http://dx.doi.org/10.7227/ijmee.33.3.2.

Full text

Abstract:

The two-dimensional analysis, using computational fluid dynamics (CFD), of tandem/staggered arranged airfoils of the canard and wing of an Eagle 150 aircraft and also the aerodynamic tests conducted in an open-circuit wind tunnel are presented in the paper. The wind tunnel tests were carried out at a speed of 38m/s in a test section of size 300 mm (width), 300 mm (height) and 600 mm (length), at Reynolds number 2.25 × 105. The tests were carried out with tandem and staggered placement of the airfoils in order to determine the optimum position of the wing with respect to the canard and also to determine the lift coefficient at various angles of attack. The CFD code FLUENT 5 was used to investigate the aerodynamic performance of a two-dimensional model to validate the wind tunnel results. The flow interaction was studied in the tandem and staggered arrangements in the wind tunnel as well as by the computational method. The k-ε turbulence model gave exceptionally good results.

APA, Harvard, Vancouver, ISO, and other styles

31

Svorcan, Jelena, Ognjen Peković, Aleksandar Simonović, Dragoljub Tanović, and Mohammad Sakib Hasan. "Design of optimal flow concentrator for vertical-axis wind turbines using computational fluid dynamics, artificial neural networks and genetic algorithm." Advances in Mechanical Engineering 13, no. 3 (March 2021): 168781402110090. http://dx.doi.org/10.1177/16878140211009009.

Full text

Abstract:

Wind energy extraction is one of the fastest developing engineering branches today. Number of installed wind turbines is constantly increasing. Appropriate solutions for urban environments are quiet, structurally simple and affordable small-scale vertical-axis wind turbines (VAWTs). Due to small efficiency, particularly in low and variable winds, main topic here is development of optimal flow concentrator that locally augments wind velocity, facilitates turbine start and increases generated power. Conceptual design was performed by combining finite volume method and artificial intelligence (AI). Smaller set of computational results (velocity profiles induced by existence of different concentrators in flow field) was used for creation, training and validation of several artificial neural networks. Multi-objective optimization of concentrator geometric parameters was realized through coupling of generated neural networks with genetic algorithm. Final solution from the acquired Pareto set is studied in more detail. Resulting computed velocity field is illustrated. Aerodynamic performances of small-scale VAWT with and without optimal flow concentrator are estimated and compared. The performed research demonstrates that, with use of flow concentrator, average increase in wind speed of 20%–25% can be expected. It also proves that contemporary AI techniques can significantly facilitate and accelerate design processes in the field of wind engineering.

APA, Harvard, Vancouver, ISO, and other styles

32

Liu, Tianshu, RS Vewen Ramasamy, Ryne Radermacher, William Liou, and David Moussa Salazar. "Oscillating-wing unit for power generation." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 4 (September 19, 2018): 510–29. http://dx.doi.org/10.1177/0957650918790116.

Full text

Abstract:

This paper describes an exploratory study of a nonconventional wind power converter with a pair of oscillating wings, which is called an oscillating-wing unit. The working principles of the oscillating-wing unit are described, including the aerodynamic models, kinematical, and dynamical models. The performance of the oscillating-wing unit is evaluated through computational simulations and the power scaling in comparison with conventional horizontal-axis wind turbines. Then, a model oscillating-wing unit is designed, built, and tested in a wind tunnel to examine the feasibility of the oscillating-wing unit in extraction of the wind energy in comparison with the theoretical analysis. The theoretical analysis and experimental data indicate that the oscillating-wing unit has the power efficiency comparable to the conventional horizontal axis wind turbine and it can operate at low wind speeds.

APA, Harvard, Vancouver, ISO, and other styles

33

Hemida, Hassan. "Contribution of computational wind engineering in train aerodynamics—past and future." Journal of Wind Engineering and Industrial Aerodynamics 234 (March 2023): 105352. http://dx.doi.org/10.1016/j.jweia.2023.105352.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Stamou, Anastasios, and Anthoula Gkesouli. "Modeling settling tanks for water treatment using computational fluid dynamics." Journal of Hydroinformatics 17, no. 5 (March 6, 2015): 745–62. http://dx.doi.org/10.2166/hydro.2015.069.

Full text

Abstract:

A computational fluid dynamics model is presented for the calculation of the flow, suspended solids, and tracer concentration fields in the settling tanks of the water treatment plant of Aharnes, an important component of the water supply system of the greater area of Athens, Greece. The model is applied to investigate the expected negative effect of the wind on the hydraulic and settling performance of the tanks and to evaluate the improvement resulting from the installation of one and two baffles; the wind is modeled using a simple and very conservative approach that involves the setting of a constant horizontal flow velocity on the free surface. The model is calibrated and verified with field turbidity measurements. Calculations show that the effect of wind on the flow field and the hydraulic efficiency is strong, with the creation of massive re-circulation areas with intense mixing and high short circuiting; however, the effect of wind on the settling performance of the tanks is not pronounced. The removal efficiency of the tanks, which is 72.48% in calm conditions, is reduced to 68.07% for windy conditions; moreover, it increases to 70.00 and 71.04%, when one or two baffles are installed, respectively.

APA, Harvard, Vancouver, ISO, and other styles

35

Allan, M. R., K. J. Badcock, G. N. Barakos, and B. E. Richards. "Wind-Tunnel Interference Effects on Delta Wing Aerodynamics Computational Fluid Dynamics Investigation." Journal of Aircraft 42, no. 1 (January 2005): 189–98. http://dx.doi.org/10.2514/1.5324.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Otoguro, Yuto, Hiroki Mochizuki, Kenji Takizawa, and Tayfun E. Tezduyar. "Space–Time Variational Multiscale Isogeometric Analysis of a tsunami-shelter vertical-axis wind turbine." Computational Mechanics 66, no. 6 (August 31, 2020): 1443–60. http://dx.doi.org/10.1007/s00466-020-01910-5.

Full text

Abstract:

AbstractWe present computational flow analysis of a vertical-axis wind turbine (VAWT) that has been proposed to also serve as a tsunami shelter. In addition to the three-blade rotor, the turbine has four support columns at the periphery. The columns support the turbine rotor and the shelter. Computational challenges encountered in flow analysis of wind turbines in general include accurate representation of the turbine geometry, multiscale unsteady flow, and moving-boundary flow associated with the rotor motion. The tsunami-shelter VAWT, because of its rather high geometric complexity, poses the additional challenge of reaching high accuracy in turbine-geometry representation and flow solution when the geometry is so complex. We address the challenges with a space–time (ST) computational method that integrates three special ST methods around the core, ST Variational Multiscale (ST-VMS) method, and mesh generation and improvement methods. The three special methods are the ST Slip Interface (ST-SI) method, ST Isogeometric Analysis (ST-IGA), and the ST/NURBS Mesh Update Method (STNMUM). The ST-discretization feature of the integrated method provides higher-order accuracy compared to standard discretization methods. The VMS feature addresses the computational challenges associated with the multiscale nature of the unsteady flow. The moving-mesh feature of the ST framework enables high-resolution computation near the blades. The ST-SI enables moving-mesh computation of the spinning rotor. The mesh covering the rotor spins with it, and the SI between the spinning mesh and the rest of the mesh accurately connects the two sides of the solution. The ST-IGA enables more accurate representation of the blade and other turbine geometries and increased accuracy in the flow solution. The STNMUM enables exact representation of the mesh rotation. A general-purpose NURBS mesh generation method makes it easier to deal with the complex turbine geometry. The quality of the mesh generated with this method is improved with a mesh relaxation method based on fiber-reinforced hyperelasticity and optimized zero-stress state. We present computations for the 2D and 3D cases. The computations show the effectiveness of our ST and mesh generation and relaxation methods in flow analysis of the tsunami-shelter VAWT.

APA, Harvard, Vancouver, ISO, and other styles

37

Li, Ang, Georg Raimund Pirrung, Mac Gaunaa, Helge Aagaard Madsen, and Sergio González Horcas. "A computationally efficient engineering aerodynamic model for swept wind turbine blades." Wind Energy Science 7, no. 1 (January 21, 2022): 129–60. http://dx.doi.org/10.5194/wes-7-129-2022.

Full text

Abstract:

Abstract. In this work, a computationally efficient engineering model for the aerodynamics of swept wind turbine blades is proposed for the extended blade element momentum (BEM) formulation. The model is modified based on a coupled near- and far-wake model, in which the near wake is assumed to be the first quarter revolution of the non-expanding helical wake of the own blade. For the special case of in-plane trailed vorticity, the original empirical equations determining the steady-state value of the near-wake induction are replaced by the analytical results, which are in the form of incomplete elliptic integrals. For the general condition of helical trailed vorticities, the steady-state near-wake induction is approximated based on the results of the special conditions and a correction factor. The factor is calculated using empirical equations with influence coefficient tensors, to minimize the computational effort. These influence coefficient tensors are pre-calculated and are fitted to the results from the numerical integration of the Biot–Savart law. With the indicial function approach, it is not necessary to explicitly save the information of the vorticities that were trailed in the previous time steps. This engineering approach is a combination of analytical results and numerical approximations, with low and constant computational effort for each time step. The proposed model is practically applicable to time-marching aero-servo-elastic simulations. The results of the swept blades with uniform inflow perpendicular to the rotor calculated from the proposed model are compared with the results from a BEM code, a lifting-line solver and a Navier–Stokes solver. The significantly improved agreement with the higher-fidelity models compared to the BEM method highlights the performance of the proposed method.

APA, Harvard, Vancouver, ISO, and other styles

38

Ouyang, Yan, Kaichun Zeng, Xiping Kou, Yingsong Gu, and Zhichun Yang. "Experimental and Numerical Studies on Static Aeroelastic Behaviours of a Forward-Swept Wing Model." Shock and Vibration 2021 (June 10, 2021): 1–12. http://dx.doi.org/10.1155/2021/5535192.

Full text

Abstract:

The static aeroelastic behaviours of a flat-plate forward-swept wing model in the vicinity of static divergence are investigated by numerical simulations and wind tunnel tests. A medium fidelity model based on the vortex lattice method (VLM) and nonlinear structural analysis is proposed to calculate the displacements of the wing structure with large deformation. Follower forces effect and geometric nonlinearity are considered to calculate the deformation of the wing by finite element method (FEM). In the wind tunnel tests, the divergence dynamic pressure is predicted by the Southwell method, and the static aeroelastic displacement is measured by a photogrammetric method. The results obtained by the medium fidelity model calculations show reasonable agreement with wind tunnel test results. A high fidelity model based on coupled computational fluid dynamics (CFD) and computational structural dynamics (CSD) predicts better results of the wing tip displacement when the freestream dynamic pressure is approaching the divergence dynamic pressure.

APA, Harvard, Vancouver, ISO, and other styles

39

Kazda, Jonas, and Nicolaos Cutululis. "Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation." Energies 11, no. 12 (November 30, 2018): 3346. http://dx.doi.org/10.3390/en11123346.

Full text

Abstract:

The aerodynamic interaction between wind turbines grouped in wind farms results in wake-induced power loss and fatigue loads of wind turbines. To mitigate these, wind farm control should be able to account for those interactions, typically using model-based approaches. Such model-based control approaches benefit from computationally fast, linear models and therefore, in this work, we introduce the Dynamic Flow Predictor. It is a fast, control-oriented, dynamic, linear model of wind farm flow and operation that provides predictions of wind speed and turbine power. The model estimates wind turbine aerodynamic interaction using a linearized engineering wake model in combination with a delay process. The Dynamic Flow Predictor was tested on a two-turbine array to illustrate its main characteristics and on a large-scale wind farm, comparable to modern offshore wind farms, to illustrate its scalability and accuracy in a more realistic scale. The simulations were performed in SimWindFarm with wind turbines represented using the NREL 5 MW model. The results showed the suitability, accuracy, and computational speed of the modeling approach. In the study on the large-scale wind farm, rotor effective wind speed was estimated with a root-mean-square error ranging between 0.8% and 4.1%. In the same study, the computation time per iteration of the model was, on average, 2.1 × 10 − 5 s. It is therefore concluded that the presented modeling approach is well suited for use in wind farm control.

APA, Harvard, Vancouver, ISO, and other styles

40

Wu, Zhenlong, Qiang Wang, and Hao Huang. "A methodological exploration for efficient prediction of airfoil response to gusts in wind engineering." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 6 (January 9, 2019): 738–50. http://dx.doi.org/10.1177/0957650918822949.

Full text

Abstract:

This paper presents several approaches for efficient estimation of airfoil response to gust via computational fluid dynamics and reduced-order modeling. A computational fluid dynamics code enabling simulation of aerodynamics under an arbitrary-shaped discrete gust is adopted. Convolution models using baseline sharp-edge gust response either obtained by the closed-form Küssner functions or computational fluid dynamics methods are established. A parametric approximation function model for gust response is identified via the least square optimization of the computational fluid dynamics-obtained sharp-edge responses. Finally, an example taking advantage of the aerodynamic response by the above methods to simulate the aeroelastics of an airfoil performing a plunging-twisting coupled motion under various gusts is presented. The present practice indicates that the reduced-order modelings are not only more efficient compared to direct computational fluid dynamics simulations, but also have a satisfactory accuracy in gust response predictions.

APA, Harvard, Vancouver, ISO, and other styles

41

Khorloo, Oyundolgor, Zorig Gunjee, Batjargal Sosorbaram, and Norishige Chiba. "Wind Field Synthesis for Animating Wind-induced Vibration." International Journal of Virtual Reality 10, no. 1 (January 1, 2011): 53–60. http://dx.doi.org/10.20870/ijvr.2011.10.1.2802.

Full text

Abstract:

We present a simple method to generate three-dimensional frozen and non-frozen turbulent wind fields for use in the animation of wind-induced motion. Our approach uses 1/f^_ noise to match the characteristics of natural wind. By employing a noise-based approach, the complexity as well as computational cost is reduced. Additionally, by considering key characteristics of actual wind that are applied in the structural engineering field, our proposed method is able to produce plausible results in outdoor wind field simulations. In this paper, we describe the implementation results of our proposed method and compare them with other existing approaches used to construct turbulent wind fields. The implementation and visualization are carried out for both two- and three-dimensional scenarios and compared with the results of other well-known methods.

APA, Harvard, Vancouver, ISO, and other styles

42

Baskaran, A., and T. Stathopoulos. "Computational evaluation of wind effects on buildings." Building and Environment 24, no. 4 (January 1989): 325–33. http://dx.doi.org/10.1016/0360-1323(89)90027-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Jouhaud, J. C., P. Sagaut, and B. Labeyrie. "A Kriging Approach for CFD/Wind-Tunnel Data Comparison." Journal of Fluids Engineering 128, no. 4 (November 16, 2005): 847–55. http://dx.doi.org/10.1115/1.2201642.

Full text

Abstract:

A Kriging-based method for the parametrization of the response surface spanned by uncertain parameters in computational fluid dynamics is proposed. A multiresolution approach in the sampling space is used to improve the accuracy of the method. It is illustrated considering the problem of the computation of the corrections needed to recover equivalent free-flight conditions from wind-tunnel experiments. Using the surface response approach, optimal corrected values of the freestream Mach number and the angle of attack for the compressible turbulent flow around the RAE 2822 wing are computed. The use of the response surface to gain an insight into the sensitivity of the results with respect to other parameter is also assessed.

APA, Harvard, Vancouver, ISO, and other styles

44

Shi, Hai Tao, Yuan Ze Wu, Sun Yi, and Bai Feng Ji. "Study on Downburst Wind Field Characteristics under Mountainous Terrain." Applied Mechanics and Materials 580-583 (July 2014): 2954–57. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2954.

Full text

Abstract:

Downburst is a strong downdraft thunderstorm in the ground formed after the violent impact and spread along the ground very sudden and destructive winds near the ground short. From an engineering point of view for the structure of wind-resistant design, researching downburst wind field characteristics and ultimately determining a reasonable downburst wind profile is one of the core objectives of the study. Terrain conditions are the major factors of downburst wind field characteristics based on the typical mountain terrain on the wind storm flow condition, this paper established typical 2D slope mountain terrain model, using the method of computational fluid dynamics to calculate the velocity contours and pressure cloud in different locations of the mountain. Finally we get the two-dimensional slope typical mountain terrain wind field distribution.

APA, Harvard, Vancouver, ISO, and other styles

45

Jasa, John, Pietro Bortolotti, Daniel Zalkind, and Garrett Barter. "Effectively using multifidelity optimization for wind turbine design." Wind Energy Science 7, no. 3 (May 11, 2022): 991–1006. http://dx.doi.org/10.5194/wes-7-991-2022.

Full text

Abstract:

Abstract. Wind turbines are complex multidisciplinary systems that are challenging to design because of the tightly coupled interactions between different subsystems. Computational modeling attempts to resolve these couplings so we can efficiently explore new wind turbine systems early in the design process. Low-fidelity models are computationally efficient but make assumptions and simplifications that limit the accuracy of design studies, whereas high-fidelity models capture more of the actual physics but with increased computational cost. This paper details the use of multifidelity methods for optimizing wind turbine designs by using information from both low- and high-fidelity models to find an optimal solution at reduced cost. Specifically, a trust-region approach is used with a novel corrective function built from a nonlinear surrogate model. We find that for a diverse set of design problems – with examples given in rotor blade geometry design, wind turbine controller design, and wind power plant layout optimization – the multifidelity method finds the optimal design using 38 %–58 % of the computational cost of the high-fidelity-only optimization. The success of the multifidelity method in disparate applications suggests that it could be more broadly applied to other wind energy or otherwise generic applications.

APA, Harvard, Vancouver, ISO, and other styles

46

Thelen, Andrew, Leifur Leifsson, Anupam Sharma, and Slawomir Koziel. "Variable-fidelity shape optimization of dual-rotor wind turbines." Engineering Computations 35, no. 7 (October 1, 2018): 2514–42. http://dx.doi.org/10.1108/ec-12-2017-0502.

Full text

Abstract:

Purpose Dual-rotor wind turbines (DRWTs) are a novel type of wind turbines that can capture more power than their single-rotor counterparts. Because their surrounding flow fields are complex, evaluating a DRWT design requires accurate predictive simulations, which incur high computational costs. Currently, there does not exist a design optimization framework for DRWTs. Since the design optimization of DRWTs requires numerous model evaluations, the purpose of this paper is to identify computationally efficient design approaches. Design/methodology/approach Several algorithms are compared for the design optimization of DRWTs. The algorithms vary widely in approaches and include a direct derivative-free method, as well as three surrogate-based optimization methods, two approximation-based approaches and one variable-fidelity approach with coarse discretization low-fidelity models. Findings The proposed variable-fidelity method required significantly lower computational cost than the derivative-free and approximation-based methods. Large computational savings come from using the time-consuming high-fidelity simulations sparingly and performing the majority of the design space search using the fast variable-fidelity models. Originality/value Due the complex simulations and the large number of designable parameters, the design of DRWTs require the use of numerical optimization algorithms. This work presents a novel and efficient design optimization framework for DRWTs using computationally intensive simulations and variable-fidelity optimization techniques.

APA, Harvard, Vancouver, ISO, and other styles

47

Amato, E. M., C. Polsinelli, E. Cestino, G. Frulla, N. Joseph, R. Carrese, and P. Marzocca. "HALE wing experiments and computational models to predict nonlinear flutter and dynamic response." Aeronautical Journal 123, no. 1264 (June 2019): 912–46. http://dx.doi.org/10.1017/aer.2019.38.

Full text

Abstract:

AbstractExperimental and numerical investigations into the linear and nonlinear aeroelastic behaviour of very flexible High Altitude Long Endurance (HALE) wings are conducted to assess the effect of geometrical nonlinearities on wings displaying moderate-to-large displacement. The study shows that the dynamic behaviour of wings under large deflection, and specifically the edgewise and torsion natural frequencies and modal characteristics, are largely affected by the presence of geometrical nonlinearities. A modular wing structure has been manufactured by rapid prototyping and it has been tested to characterise its dynamic and aeroelastic behaviour. At first, several simple isotropic cantilever beams with selected crosssections are numerically investigated to extract their modal characteristics. Experiments are subsequently conducted to validate the geometrically nonlinear dynamics behaviour due to high tip displacement and to understand the influence of the beam cross-section geometry. The structural dynamics and aeroelastic analysis of a very flexible modular selected wing is then investigated. Clean-wing wind-tunnel tests are carried out to assess flutter and dynamic response. The wind-tunnel model display interesting aeroelastic features including the substantial influence of the wing large deformation on its natural frequencies and modal characteristics.

APA, Harvard, Vancouver, ISO, and other styles

48

Odhiambo, Peter, and Ernest Odhiambo. "Computational Simulation Methods for the Magnus Lift - Driven Wind Turbines." International Journal of Engineering and Advanced Technology 11, no. 6 (August 30, 2022): 174–81. http://dx.doi.org/10.35940/ijeat.f3752.0811622.

Full text

Abstract:

Computational fluid dynamics (CFD) simulation of Magnus Lift -Driven wind turbines provide different results depending on the method of wind power capture and the nature of the turbine. The Magnus Lift -driven wind turbines, which would normally have cylindrical blades rotating either about a vertical or horizontal axis, reveals interesting CFD results. For instance, the blade aspect ratio is critical in determining the performance of the Magnus WT. The power coefficient generated by Magnus WT at low tip-speed ratio clearly justifies that the turbine would perform optimally in urban environment. This review paper focuses on these Magnus Lift -driven wind turbines, by analyzing the research results in the literature review section. The results section contains the simulation outcome based on various CFD approaches. The conclusion cites the gaps in research. More importantly, the paper reviews the factors affecting the efficiency of the Magnus wind turbine such as drag coefficient, surface roughness effect, and wind velocity.

APA, Harvard, Vancouver, ISO, and other styles

49

Jeon, Wonyoung, Jeanho Park, Seungro Lee, Youngguan Jung, Yeesock Kim, and Youngjin Seo. "Performance prediction of loop-type wind turbine." Advances in Mechanical Engineering 12, no. 2 (February 2020): 168781401984047. http://dx.doi.org/10.1177/1687814019840472.

Full text

Abstract:

An experimental and analytical method to evaluate the performance of a loop-type wind turbine generator is presented. The loop-type wind turbine is a horizontal axis wind turbine with a different shaped blade. A computational fluid dynamics analysis and experimental studies were conducted in this study to validate the performance of the computational fluid dynamics method, when compared with the experimental results obtained for a 1/15 scale model of a 3 kW wind turbine. Furthermore, the performance of a full sized wind turbine is predicted. The computational fluid dynamics analysis revealed a sufficiently large magnitude of external flow field, indicating that no factor influences the flow other than the turbine. However, the experimental results indicated that the wall surface of the wind tunnel significantly affects the flow, due to the limited cross-sectional size of the wind tunnel used in the tunnel test. The turbine power is overestimated when the blockage ratio is high; thus, the results must be corrected by defining the appropriate blockage factor (the factor that corrects the blockage ratio). The turbine performance was corrected using the Bahaj method. The simulation results showed good agreement with the experimental results. The performance of an actual 3 kW wind turbine was also predicted by computational fluid dynamics.

APA, Harvard, Vancouver, ISO, and other styles

50

Yang, Lan, Changchuan Xie, and Chao Yang. "Geometrically exact vortex lattice and panel methods in static aeroelasticity of very flexible wing." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 3 (November 20, 2019): 742–59. http://dx.doi.org/10.1177/0954410019885238.

Full text

Abstract:

Geometrically exact vortex lattice method and panel method are presented in this paper to deal with aerodynamic load computation for geometrically nonlinear static aeroelastic problems. They are combined with geometrically nonlinear finite element method through surface spline interpolation in the loosely-coupled iteration. From the perspective of theoretical research, both vortex lattice method and panel method are based on the full potential equation and able to model the deflection and twist of the wing, while vortex lattice method is based on the thin airfoil theory, and panel method is suitable for thick wings. Although the potential flow equation is linear, the introduction of geometrically exact boundary conditions makes it significantly different from the linear aeroelastic analysis. The numerical results of a high aspect ratio wing are provided to declare the influence of large deformation on nonlinear static aeroelastic computation compared with linear analysis. Aeroelastic analyses based on geometrically exact vortex lattice method and panel method are also compared with the results of computational fluid dynamics/computational structural dynamics coupling method and the wind tunnel test data. The nonlinear static aeroelastic analysis agrees with the measurement even in considerably large deformation situations.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Computational wind engineering'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles