[en] Different professional cyclists use very different hill descent positions, which indicates that prior to the present
study, there was no consensus on which position is really superior, and that most cyclists did not test different
positions, for example in wind tunnels, to find which position would give them the largest advantage. This paper
presents an aerodynamic analysis of 15 different hill descent positions. It is assumed that the hill slope is steep
enough so pedaling is not required to gain speed and that the descent does not include sharp bends necessitating
changes in position. The analysis is performed by Computational Fluid Dynamics (CFD) simulations with the 3D
RANS equations and the Transition SST k-ω model. The simulations are validated wind tunnel measurements. The
results are analyzed in terms of frontal area, drag area and surface pressure coefficient. It is shown that the
infamous “Froome” position during the Peyresourde descent of Stage 8 of the 2016 Tour de France is not aerodynamically
superior to several other positions. Other positions are up to 7.2% faster and also safer because they
provide more equal distribution of body weight over both wheels. Also several positions that allow larger power
generation are aerodynamically superior.
Andrianne, Thomas ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale
Language :
English
Title :
Aerodynamic analysis of different cyclist hill descent positions
Publication date :
October 2018
Journal title :
Journal of Wind Engineering and Industrial Aerodynamics
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Bibliography
ANSYS, Fluent, Release 15.0, Theory Guide. November 2013, ANSYS Inc.
Artec Europe, Artec Eva, 3D scanners. Retrieved May 22, 2017, from https://www.artec3d.com/3d-scanner/artec-eva, 2017.
Barlow, J.B., Rae, W.H., Pope, A., Low-speed Wind Tunnel Testing. third ed., 1999, Wiley.
Barry, N., Burton, D., Sheridan, J., Thompson, M., Brown, N.A.T., Aerodynamic drag interactions between cyclists in a team pursuit. Sports Eng. 18:2 (2015), 93–103.
Beaumont, F., Taiar, R., Polidori, G., Trenchard, H., Grappe, F., Aerodynamic study of time-trial helmets in cycling racing using CFD analysis. J. Biomech. 67 (2018), 1–8.
Blocken, B., Defraeye, T., Koninckx, E., Carmeliet, J., Hespel, P., CFD simulations of the aerodynamic drag of two drafting cyclists. Comput. Fluids 71 (2013), 435–445.
Blocken, B., 50 years of computational wind engineering: past, present and future. J. Wind Eng. Ind. Aerod. 129 (2014), 69–102.
Blocken, B., Toparlar, Y., A following car influences cyclist drag: CFD simulations and wind tunnel measurements. J. Wind Eng. Ind. Aerod. 145 (2015), 178–186.
Blocken, B., Computational Fluid Dynamics for Urban Physics: importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Build. Environ. 91 (2015), 219–245.
Blocken, B., Toparlar, Y., Andrianne, T., Aerodynamic benefit for a cyclist by a following motorcycle. J. Wind Eng. Ind. Aerod. 155 (2016), 1–10.
Blocken, B., van Druenen, T., Toparlar, Y., Malizia, F., Mannion, P., Andrianne, T., Marchal, T., Maas, G.J., Diepens, J., Aerodynamic drag in cycling pelotons: new insights by CFD simulation and wind tunnel testing. J. Wind Eng. Ind. Aerod. 179 (2018), 319–337.
Casey, M., Wintergerste, T., Best Practice Guidelines. ERCOFTAC Special Interest Group on “Quality and Trust in Industrial CFD” ERCOFTAC. 2000.
Crouch, T.N., Burton, D., Brown, N.A.T., Thomson, M.C., Sheridan, J., Flow topology in the wake of a cylist and its effect on aerodynamic drag. J. Fluid Mech. 748 (2014), 5–35.
Crouch, T.N., Burton, D., Thompson, M.C., Brown, N.A.T., Sheridan, J., Dynamic leg-motion and its effect on the aerodynamic performance of cyclists. J. Fluid Struct. 65 (2016), 121–137.
Crouch, T.N., Burton, D., LaBry, Z.A., Blair, K.B., Riding against the wind: a review of competition cycling aerodynamics. Sports Eng. 20:2 (2017), 81–110.
Dal Monte, A., Leonardi, L.M., Menchinelli, C., Marini, C., A new bicycle design based on biomechanics and advanced technology. Int. J.Sport Biomech. 3 (1987), 287–292.
Defraeye, T., Blocken, B., Koninckx, E., Hespel, P., Carmeliet, J., Aerodynamic study of different cyclist positions: CFD analysis and full-scale wind-tunnel tests. J. Biomech. 43:7 (2010), 1262–1268.
Defraeye, T., Blocken, B., Koninckx, E., Hespel, P., Carmeliet, J., Computational Fluid Dynamics analysis of cyclist aerodynamics: performance of different turbulence-modelling and boundary-layer modelling approaches. J. Biomech. 43:12 (2010), 2281–2287.
Defraeye, T., Blocken, B., Koninckx, E., Hespel, P., Carmeliet, J., Computational fluid dynamics analysis of drag and convective heat transfer of individual body segments for different cyclist positions. J. Biomech. 44:9 (2011), 1695–1701.
Defraeye, T., Blocken, B., Koninckx, E., Hespel, P., Verboven, P., Nicolai, B., Carmeliet, J., Cyclist drag in team pursuit: influence of cyclist sequence, stature, and arm spacing. J. Biomech. Eng.-ASME, 136(1), 2014 art. no. 011005.
Fintelman, D.M., Sterling, M., Hemida, H., Li, F.X., The effect of crosswinds on cyclists: an experimental study. The Engineering of Sport 10. Procedia Eng. 72 (2014), 720–725.
Fintelman, D.M., Sterling, M., Hemida, H., Li, F.X., Optimal cycling time trial position models: aerodynamics versus power output and metabolic energy. J. Biomech. 47:8 (2014), 1894–1898.
Fintelman, D.M., Hemida, H., Sterling, M., Li, F.X., CFD simulations of the flow around a cyclist subjected to crosswinds. J. Wind Eng. Aerodyn. 144 (2015), 31–41.
Fintelman, D.M., Hemida, H., Sterling, M., Li, F.X., The effect of time trial cycling position on physiological and aerodynamic variables. J. Sports Sci. 33:16 (2015), 1730–1737.
Fintelman, D.M., Sterling, M., Hemida, H., Li, F.X., Effect of different aerodynamic time trial cycling positions on muscle activation and crank torque. Scand. J. Med. Sci. Sports 26:5 (2016), 528–534.
Franke, J., Hellsten, A., Schlünzen, H., Carissimo, B., Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment, COST Action 732: Quality Assurance and Improvement of Microscale Meteorological Models, Hamburg, Germany. 2007.
Gore, M., Personal Communication with Sensor Manufacturer. 2016.
Grappe, G., Candau, R., Belli, A., Rouillon, J.D., Aerodynamic drag in field cycling with special reference to the Obree's position. Ergonomics 40:12 (1997), 1299–1311.
Grappe, F., Candau, R., Busso, T., Rouillon, J.D., Effect of cycling position on ventilator and metabolic variables. Int. J. Sports Med. 19 (1998), 336–341.
Griffith, M.D., Crouch, T., Thompson, M.C., Burton, D., Sheridan, J., Brown, N.A.T., Computational fluid dynamics study of the effect of leg position on cyclist aerodynamic drag. ASME J. Fluids Eng., 136(10), 2014, 101105.
Hanna, R.K., Can CFD make a performance difference in sport?. Ujihashi, S., Haake, S.J., (eds.) The Engineering of Sport 4, 2002, Blackwell Science, Oxford, 17–30.
Jeukendrup, A.E., Martin, J., Improving cycling performance: how should we spend our time and money. Sports Med. 31:7 (2001), 559–569.
Kyle, C.R., Burke, E.R., Improving the racing bicycle. Mech. Eng. 106:9 (1984), 34–45.
Langtry, R.B., Menter, F.R., Correlation-based transition modeling for unstructured parallelized computational fluid dynamics codes. AIAA J. 47:12 (2009), 2894–2906.
Lukes, R.A., Chin, S.B., Haake, S.J., The understanding and development of cycling aerodynamics. Sports Eng. 8 (2005), 59–74.
Lukes, R.A., Hart, J.H., Chin, S.B., Haake, S.J., THe aerodynamics of mountain bicycles: the role of computational fluid dynamics. Hubbard, M., Mehta, R.D., Pallis, J.M., (eds.) The Engineering of Sport 5, 2004, International Sports Eng Association, Sheffield.
Mannion, P., Toparlar, Y., Blocken, B., Hajdukiewicz, M., Andrianne, T., Clifford, E., Improving CFD prediction of drag on Paralympic tandem athletes: influence of grid resolution and turbulence model. Sports Eng. 21:2 (2018), 123–135.
Mannion, P., Toparlar, Y., Blocken, B., Clifford, E., Andrianne, T., Hajdukiewicz, M., Aerodynamic drag in competitive tandem para-cycling: road race versus time-trial positions. J. Wind Eng. Ind. Aerod. 179 (2018), 92–101.
Mannion, P., Toparlar, Y., Blocken, B., Clifford, E., Andrianne, T., Hajdukiewicz, M., Analysis of crosswind aerodynamics for competitive handcycling. J. Wind Eng. Ind. Aerod. 180 (2018), 182–190.
Menter, F.R., Langtry, R., Volker, S., Transition modelling for general purpose CFD codes. Flow, Turbulence and Combustion 77:1 (2006), 277–303.
Padilla, S., Mujika, I., Angulo, F., Goiriena, J.J., Scientific approach to the 1-h cycling world record: a case study. J. Appl. Physiol. 89 (2000), 1522–1527.
Tominaga, Y., Mochida, A., Yoshie, R., Kataoka, H., Nozu, T., Yoshikawa, M., Shirasawa, T., AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J. Wind Eng. Ind. Aerod. 96:10–11 (2008), 1749–1761.
Tucker, P.G., Mosquera, A., NAFEMS Introduction to Grid and Mesh Generation for CFD. 2001 NAFEMS CFD Working Group, R0079, 56 pp.
Vanmarcke, S., Vive le vélo, VRT Flemish TV show. 2017 14 July 2017.
Wilson, D.G., Bicycling Science. third ed., 2004, MIT Press, Cambridge, MA.
You Tube, https://www.youtube.com/watch?v=3Iz7ZMALaCY, 2017.
Zdravkovich, M.M., Ashcroft, M.W., Chisholm, S.J., Hicks, N., Effect of cyclist's posture and vicinity of another cyclist on aerodynamic drag. Haake, (eds.) The Engineering of Sport, 1996, Balkema, Rotterdam, 21–28.
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