Relevant bibliographies by topics / Computational wind engineering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational wind engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Computational wind engineering"

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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Dissertations / Theses on the topic "Computational wind engineering"

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Easom, Gary. "Improved turbulence models for computational wind engineering." Thesis, University of Nottingham, 2000. http://eprints.nottingham.ac.uk/10113/.

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The fundamental errors in the numerical modelling of the turbulent component of fluid flow are one of the main reasons why computational fluid dynamics techniques have not yet been fully accepted by the wind engineering community. This thesis is the result of extensive research that was undertaken to assess the various methods available for numerical simulation of turbulent fluid flow. The research was undertaken with a view to developing improved turbulence models for computational wind engineering. Investigations have concentrated on analysing the accuracy and numerical stability of a number of different turbulence models including both the widely available models and state of the art techniques. These investigations suggest that a turbulence model, suitable for wind engineering applications, should be able to model the anisotropy of turbulent flow as in the differential stress model whilst maintaining the ease of use and computational stability of the two equation k-e models. Therefore, non-linear expansions of the Boussinesq hypotheses, the quadratic and cubic non-linear k-e models, have been tested in an attempt to account for anisotropic turbulence and curvature related strain effects. Furthermore, large eddy simulations using the standard Smagorinsky sub-grid scale model have been completed, in order to account for the four dimensional nature of turbulent flow. This technique, which relies less heavily on the need to model turbulence by utilising advances in computer technology and processing power to directly resolve more of the flow field, is now becoming increasingly popular in the engineering community. The author has detailed and tested all of the above mentioned techniques and given recommendations for both the short and longer term future of turbulence modelling in computational wind engineering. Improved turbulence models that will more accurately predict bluff body flow fields and that are numerically stable for complex geometries are of paramount importance if the use of CFD techniques are to gain wide acceptance by the wind engineering community.
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Bajoria, Ankur. "Computational wind engineering using finite element package ADINA." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43891.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2008.
Includes bibliographical references (leaves 61-64).
Design of tall and long span structures is governed by the wind forces. Inadequate research in the field of wind dynamics has forced engineers to rely on design codes or wind tunnel tests for sufficient data. The present work uses a computational wind dynamics method to compare the coefficient of pressure (Cp) for the different aerodynamic shapes. ADINA, a finite element package, contains an inbuilt turbulence model which will be used to construct four different shapes for comparison. Results are verified with the experimental and simulation data. The effect of increase in the Reynolds number on the flow has been studied. Graphs for the pressure, velocity and turbulence energy distribution have been developed to assist the engineers in design.
by Ankur Bajoria.
M.Eng.
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Zoumprouli, Argyro. "Wind farm and environmental aerodynamics assessment using computational engineering." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7212.

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The aim of this thesis is the application of computational engineering software for the study of wind resource assessment of a wind farm as well as for establishing the range of influence of different numerical and physical parameters, including turbulence modeling , surface roughness and wakes. Simulations were performed for a wind farm which is in operation since 2006, called Panachaiko, located at the west part of Greece and encompassing an energy capacity of 34.85 MW. Simulations were performed using three variants of the k-ε model. Moreover, the effects of surface roughness and wake on the efficiency of wind farm operation were investigated. Comparisons were performed between linear and non-linear computational fluid dynamics (CFD) modeling, in the framework of the available engineering (commercial) software. Both qualitative and quantitative assessment of the results is presented. The study revealed the dependence of the results on the CFD (linear vs non-linear) model employed. The results of the present study provide useful guidance regarding the applicability of CFD models for wing resource assessment.
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Chinchore, Asmita C. "Computational Study of Savonius Wind Turbine." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1389795972.

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Irshad, Wahid. "Wind resource assessment : statistical and computational fluid-dynamic analysis." Thesis, Edinburgh Napier University, 2012. http://researchrepository.napier.ac.uk/Output/5329.

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Wind is an important source of renewable energy and is widely available, despite the changing condition. In recent years a growing number of manufacturers have produced small wind turbines suitable for utilisation by individual householders or small businesses. These systems are designed to install in towns or cities. This raises the question about the potential of wind energy resource in build-up areas. This thesis sets to investigate the wind energy resource implication in the build-up areas by understanding the wind climatology of urban areas. As well as the overall mean wind speed, knowledge of the wind speed distribution (due to the non-linear relationship between wind speed and wind power) and the wind-direction distribution for optimum turbine siting is required. Other areas that have been considered are short-duration fluctuations in both speed and direction as these can affect the efficiency of the turbine. The aims of this research are to study the local wind conditions and estimate the available wind resource for the wind-energy driven generation of electricity in Edinburgh by taking into account of its climate, wind data and topographical effects. To achieve these aims eleven years of Met office data was investigated in addition to analysis of the data collected from locally installed weather station. Diurnal effect on wind condition was studied and found to be more pronounced in Edinburgh's rural area than its urban conurbation. It was also found that the available wind energy in the urban area is 30% less than that of the rural area. Turbulence in wind speed and direction of flow was also investigated. Careful consideration of all the parameters defining and affecting the prevailing wind revealed the wind resource in Edinburgh's urban area to be insufficient for viable generation of wind energy through the available technology of micro WEC (wind energy converter) systems. A CFD analysis was also performed to determine wind resource differences because of different mounting locations of wind equipment over the building under consideration. As a part of the project, a commercially available wind turbine was installed and monitored to investigate its performance in urban area. The research study finally suggests that the available grid connected micro WEC system cannot provide a cost effective contribution to urban Edinburgh's renewable energy generation.
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Anbreen, Faiqa. "Design of airborne wind turbine and computational fluid dynamics analysis." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=1606691.

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Wind energy is a promising alternative to the depleting non-renewable sources. The height of the wind turbines becomes a constraint to their efficiency. Airborne wind turbine can reach much higher altitudes and produce higher power due to high wind velocity and energy density. The focus of this thesis is to design a shrouded airborne wind turbine, capable to generate 70 kW to propel a leisure boat with a capacity of 8-10 passengers. The idea of designing an airborne turbine is to take the advantage of higher velocities in the atmosphere.

The Solidworks model has been analyzed numerically using Computational Fluid Dynamics (CFD) software StarCCM+. The Unsteady Reynolds Averaged Navier Stokes Simulation (URANS) with K-ϵ turbulence model has been selected, to study the physical properties of the flow, with emphasis on the performance of the turbine and the increase in air velocity at the throat. The analysis has been done using two ambient velocities of 12 m/s and 6 m/s. At 12 m/s inlet velocity, the velocity of air at the turbine has been recorded as 16 m/s. The power generated by the turbine is 61 kW. At inlet velocity of 6 m/s, the velocity of air at turbine increased to 10 m/s. The power generated by turbine is 25 kW.

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HORVAT, MARKO. "Computational Wind Engineering simulations for design of Sand Mitigation Measures and performance assessment." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2872324.

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Paetzold, Joachim Meinert. "A Wind Engineering Analysis of Parabolic Trough Concentrating Solar Power." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15256.

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This thesis aims at improving the understanding of the effects of the wind on parabolic trough Concentrating Solar Power technology. Parabolic trough power plants are often located in areas that are subjected to high wind speeds, as an open terrain without any obstructions is beneficial for the plant performance. The wind impacts both the structural requirements and the performance of the plant. The aerodynamic loads from the wind impose strong requirements on the support structure of the reflectors, and they also impact the tracking accuracy. On a thermal level the airflow around the glass envelope of the receiver tube cools its outer surface through forced convection, thereby contributing to the total heat loss of the system. The influence of the shape and design of the trough is studied with the aim to minimise wind loads and thermal losses and, thus, contribute to making parabolic trough technology more efficient and hence reduce the cost of the generated electricity. Starting with an investigation on the level of a single row of collectors, the influence of different trough depths on the wind effects — the aerodynamic loads, as well as the thermal effects — is analysed via numerical simulations that are validated against experimental data from wind tunnel tests. While a deeper trough geometry leads to higher forces than a shallow one, it also significantly reduces the wind speed around the receiver and hence the thermal loss on its outer surface. Based on these results alterations to the standard trough design of a continuous parabolic shape are undertaken, analysed in numerical simulations, and validated in wind tunnel experiments. A staggered reflector layout with different focal lengths in different sections of the trough is found to be able to reduce the wind loads by up to 24%,while some designs also retain the sheltering effect on the receiver. Various numerical simulation approaches for an adequate representation of the wind effects on individual rows of collectors, as well as in a solar field are investigated and compared. For the simulation of a solar field, time-averaged simulations of a large domain with several collector rows are compared with a transient simulation with stream-wise periodic boundary conditions. At the level of an individual collector row, the performance and results of a transient scale resolving simulation are compared with those of a simulation using synthetic turbulence generation at the inlet boundary.
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Alexeev, Timur. "Computational aeroelasticity study of horizontal axis wind turbines with coupled bending - torsion blade dynamics." Thesis, University of California, Davis, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3614169.

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With the increasing size of wind turbines and the use of flexible and light materials in aerodynamic applications, aeroelastic tailoring for power generation and blade stability has become an important subject in the study of wind turbine dynamics. To this day, coupling of bending and torsion in wind turbine rotor blades has been studied primarily as an elastic mechanism due to a coupling laminate construction. In this report, inertial coupling of bending and torsion, due to offset of axis of elasticity and axis of center of mass, is investigated and numerical simulations are performed to test the validity of the constructed model using an in-house developed aeroelastic numerical tool. A computationally efficient aeroelastic numerical tool, based on Goldstein's helicoidal vortex model with a prescribed wake model and modal coupling of bending and torsion in the blades, is developed for 2-bladed horizontal axis wind turbines and a conceptual study is performed in order to argue the validity of the proposed formulation and numerical construction. The aeroelastic numerical tool, without bending-torsion coupling, was validated (Chattot 2007) using NREL Phase VI wind turbine data, which has become the baseline model in the wind turbine community. Due to novelty of the proposed inertial bending-torsion coupling in the aeroelastic model of the rotor and lack of field data, as well as, other numerical tools available for code to code comparison studies, a thorough numerical investigation of the proposed formulation is performed in order to validate the aeroelastic numerical tool Finally, formulations of geometrically nonlinear beams, elastically nonlinear plates and shells, and a piecewise linear, two degree of freedom, quasi steady, aerodynamic model are presented as an extension for nonlinear wind turbine aeroelastic simulations. Preliminary results of nonlinear beams, plates, shells, and 2 DOF NACA0012 aeroelastic model are presented.

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Collins, Carl. "Development and application of a computational model for scour around offshore wind turbine foundations." Thesis, University of Hull, 2017. http://hydra.hull.ac.uk/resources/hull:16530.

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There is a constant requirement to understand scour especially regarding its prevention, due to the potential impact and disastrous consequences. The installation of offshore wind turbines is haunted by scour mitigation and at the start of the offshore wind turbine boom in the early 2000’s this was achieved using overzealous amounts of rock armour. However, as investment and cost efficiency has increased, protection methods have been refined, but, there remains significant room for improvement. Research into offshore sediment dynamics has benefited greatly by computational advancements providing a greater understanding of processes and the driving mechanisms; leading to protection method improvements and reductions in environmental impact. The premise of this study is to push this knowledge further, by developing and validating a novel scour model within CFD software that can be used to simulate and analyse offshore scour; specifically, the scour around complex, new offshore wind turbine foundation geometries.
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Books on the topic "Computational wind engineering"

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1942-, Murakami Shūzō, Nihon Kaze Kōgakkai Tōkyō Daigaku., and Seisan Gijutsu Kenkyūjo, eds. Computational wind engineering 1: Proceedings of the 1st International Symposium on Computational Wind Engineering (CWE92), Tokyo, Japan, August 21-23, 1992. Amsterdam: Elsevier, 1993.

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International Symposium on Computational Wind Engineering (1st 1992 Tokyo, Japan). Computational wind engineering 1: Proceedings of the 1st International Symposium on Computational Wind Engineering(CWE 92), Tokyo, Japan, August 21-23 1992. Amsterdam: Elsevier, 1993.

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International Symposium on Computational Wind Engineering (2nd 1996 Fort Collins, Colo.). Computational wind engineering 2: Proceedings of the 2nd International Symposium on Computational Wind Engineering (CWE 96), Fort Collins, Colorado, USA, August 4-8, 1996. Amsterdam: Elsevier, 1997.

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G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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International Symposium on Computational Wind Engineering (2nd 1996 Fort Collins, Colo.). Program and abstracts [of the] second International Symposium on Computational Wind Engineering CWE '96, August 4-8 1996. [Fort Collins, Colo.]: Colorado State University, 1996.

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Borri, Claudio, and Claudio Mannini, eds. Aeroelastic Phenomena and Pedestrian-Structure Dynamic Interaction on Non-Conventional Bridges and Footbridges. Florence: Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-202-8.

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Fluid-structure and pedestrian-structure interaction phenomena are extremely important for non-conventional bridges. The results presented in this volume concern: simplified formulas for flutter assessment; innovative structural solutions to increase the aeroelastic stability of long-span bridges; numerical simulations of the flow around a benchmark rectangular cylinder; examples of designs of large structures assisted by wind-tunnel tests; analytical, computational and experimental investigation of the synchronisation mechanisms between pedestrians and footbridge structures. The present book is addressed to a wide audience including professionals, doctoral students and researchers, aiming to increase their know-how in the field of wind engineering, bluff-body aerodynamics and bridge dynamics.
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WINE 2010 (2010 Stanford, Calif.). Internet and network economics: 6th international workshop, WINE 2010, Stanford, CA, USA, December 13-17, 2010 : proceedings. Berlin: Springer, 2011.

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Computational Wind Engineering 1. Elsevier, 1993. http://dx.doi.org/10.1016/c2009-0-10273-8.

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Book chapters on the topic "Computational wind engineering"

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Blocken, Bert. "Computational Wind Engineering: Theory and Applications." In Environmental Wind Engineering and Design of Wind Energy Structures, 55–93. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0953-3_3.

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Yuan, Guoqing, and Yu Chen. "Geometrical Nonlinearity Analysis of Wind Turbine Blade Subjected to Extreme Wind Loads." In Computational Structural Engineering, 521–28. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2822-8_57.

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"Computational Wind Engineering." In Wind Effects on Cable-Supported Bridges, 289–344. Singapore: John Wiley & Sons Singapore Pte. Ltd., 2013. http://dx.doi.org/10.1002/9781118188293.ch8.

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"Computational Wind Engineering." In Wind Effects on Structures, 135–55. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119375890.ch6.

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HUGHES, THOMAS J. R., and KENNETH JANSEN. "Finite element methods in wind engineering." In Computational Wind Engineering 1, 297–313. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50034-6.

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HIRT, C. W. "Volume-fraction techniques: powerful tools for wind engineering." In Computational Wind Engineering 1, 327–38. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50036-x.

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KATO, S., S. MURAKAMI, Y. UTSUMI, and K. MIZUTANI. "Application of Massive Parallel Computer to Computational Wind Engineering." In Computational Wind Engineering 1, 393–400. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50043-7.

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DAVENPORT, A. G. "A contribution to the workshop on computational wind engineering." In Computational Wind Engineering 1, 899–901. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50107-8.

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SHIMURA, M., and A. SEKINE. "Interaction analysis between structure and fluid flow for wind engineering." In Computational Wind Engineering 1, 595–604. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50065-6.

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Ferziger, Joel H. "A Computational Fluid Dynamicist's View of CWE." In Computational Wind Engineering 1, 879–80. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-81688-7.50102-9.

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Conference papers on the topic "Computational wind engineering"

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Wright, Nigel. "Appropriate Use of Computational Wind Engineering." In Structures Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40700(2004)171.

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Shah, T., R. Prasad, and M. Damodaran. "Computational Modeling of Wind Energy Systems." In Eighth Asia-Pacific Conference on Wind Engineering. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-8012-8_255.

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Nemabakhsh, Ali, David Olinger, Islam Hussein, and Gretar Tryggvason. "Computational Modeling of Future Wind Power Installations." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-17001.

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Advanced wind power installations are likely to include floating wind turbines that can be placed far off-shore and airborne wind power generator that can harvest the wind at altitude beyond what tower-based turbines can reach. The feasibility of such installations does, however, depend on the ability to optimize the design to make it economical. Here we describe computational studies of the dynamics of floating wind turbine platform and planned examination of airborne energy generation devices. The computational approach for both systems relies on the use of an immersed boundary method for the moving platforms. For the floating wind turbine the free surface is captured by a level set approach. In addition to capturing the dynamics of a moving turbine tower and a flexible wing, the modeling of the tethers provides new challenges in both cases.
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Rashidi, Majid, Jaikrishnan R. Kadambi, and Asmita Chinchore. "Computational Study of Savonius Wind Turbines." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39595.

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This work presents a computational study of a two-blade and a three-blade Savonius vertical axis wind turbines. The two-blade turbine was considered to be oriented at 0, 45, 90, and 135 degrees in reference to the direction of the prevailing wind. For the three-blade turbine, the orientations taken into account were 0, 30, 60, and 90 degrees in reference to the direction of the prevailing wind. The basic aim of this work was to study how the two designs are different from each other in terms of the forces acting on their blades. The computational simulations considered the turbines to be subjected to constant wind velocities of 5, 10, 20, and 30 m/s. Computational Fluid Dynamics (CFD) analyses were conducted for every case to find out the forces acting on the turbine blades for each orientation. All cases were run using “transition-SST” flow model and the turbine blades were meshed using ‘Quadrilateral Pave’ meshing scheme. Maximum change in pressure on the turbine blade occurs when the two-blade turbine is perpendicular to direction of the prevailing wind, i.e. at 90 degree. On the other hand, when three-blade turbine is at 60 degree orientation, maximum change is pressure occurs on the turbine blade. For the dimensions selected in this study (each blade having a radius of 0.3 m and height of 0.6 m) the maximum net forces on the two-blade turbine was calculated to be 298 N, while this value was 210 N on the three-blade turbine.
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Dwivedi, V., and M. Damodaran. "Computational Modeling of Terrain and Building Aerodynamics for Enhancing Architectural Designs." In Eighth Asia-Pacific Conference on Wind Engineering. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-8012-8_256.

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Ejiri, Eiji, and Tomoya Iwadate. "Experimental and Computational Investigation on Gyromill Wind Turbines Focusing on Wing Camber." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-28401.

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Gyromill wind turbines with three different blade profiles were investigated experimentally and numerically in order to verify the effect of the direction of camber on aerodynamic performance. Experiments were carried out using a model turbine impeller with an axial length of 200 mm and a diameter of 200 mm. The results showed that the maximum power coefficient was higher for blades with negative camber than for ones with positive camber. On the other hand, the operating range of the tip speed ratio tended to be narrower for the blades with negative camber than for the ones with positive camber. An unsteady numerical flow analysis around the wind turbines was conducted using a commercial code employing the finite volume method. The results showed that the power coefficient of one blade had a maximum value in the second quadrant and that the blades with negative camber were advantageous for obtaining high rotational force in the position, compared with the blades with positive camber and a symmetrical blade.
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Sundaravadivel, T. A., S. Nadaraja Pillai, and C. Senthil Kumar. "Influence of Boundary Layer Control on Wind Turbine Blade Aerodynamic Characteristics - Part I - Computational Study." In Eighth Asia-Pacific Conference on Wind Engineering. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-8012-8_211.

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Zhang, Cheng, and Murilo Basso. "Towards Computational Prediction of Wind Turbine Flow and Noise." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71881.

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Wind energy is a clean, renewable, and fast-growing energy source for power generation. However, the noise issue, especially the aerodynamic noise, has become a critical obstacle in wind energy development. To determine the impact of the wind turbine noise and to guide the design and siting of wind turbines to minimize the disturbances on the local community, better understanding of the noise generation mechanisms as well as more accurate noise prediction techniques are necessary. Computational fluid dynamics (CFD) modeling of the National Renewable Energy Laboratory (NREL) Phase VI wind turbine at different wind speeds and tip pitch angles have been performed using ANSYS Fluent. The computational domain extends about 3 times of the wind turbine blade radius in the upstream direction, and 6 times the blade radius in the downstream and transverse directions. The shear-stress transport (SST) k-omega turbulence model is used. Second-order upwind schemes are used for the momentum and turbulence equations. The predicted pressure coefficients and power are in good agreement with the experimental data. The effects of wind speed and tip pitch angle on noise generation have also been investigated using the broadband noise source model. The Ffowcs-Williams Hawkings equation is also currently being used to obtain the far-field noise.
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Farajidavar, Aydin, Farzad Towhidkhah, Arash Mirhashemi, Shahriar Gharibzadeh, and Khosrow Behbehani. "Computational Modeling of Aß Fiber Wind-up." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259604.

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Farajidavar, Aydin, Farzad Towhidkhah, Arash Mirhashemi, Shahriar Gharibzadeh, and Khosrow Behbehani. "Computational Modeling of Aß Fiber Wind-up." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398569.

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Reports on the topic "Computational wind engineering"

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Rehm, Ronald G., Kevin B. McGrattan, Howard R. Baum, and Emil Simiu. An efficient large eddy simulation algorithm for computational wind engineering:. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6371.

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Nobile, F., Q. Ayoul-Guilmard, S. Ganesh, M. Nuñez, A. Kodakkal, C. Soriano, and R. Rossi. D6.5 Report on stochastic optimisation for wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.04.

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This report presents the latest methods of optimisation under uncertainties investigated in the ExaQUte project, and their applications to problems related to civil and wind engineering. The measure of risk throughout the report is the conditional value at risk. First, the reference method is presented: the derivation of sensitivities of the risk measure; their accurate computation; and lastly, a practical optimisation algorithm with adaptive statistical estimation. Second, this method is directly applied to a nonlinear relaxation oscillator (FitzHugh–Nagumo model) with numerical experiments to demonstrate its performance. Third, the optimisation method is adapted to the shape optimisation of an airfoil and illustrated by a large-scale experiment on a computing cluster. Finally, the benchmark of the shape optimisation of a tall building under a turbulent flow is presented, followed by an adaptation of the optimisation method. All numerical experiments showcase the open-source software stack of the ExaQUte project for large-scale computing in a distributed environment.
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