Int J Sports Med 2009; 30(4): 266-272
DOI: 10.1055/s-0028-1105940
Training & Testing

© Georg Thieme Verlag KG Stuttgart · New York

New Method to Estimate the Cycling Frontal Area

P. Debraux 1 , W. Bertucci 1 , A. V. Manolova 1 , S. Rogier 1 , A. Lodini 1
  • 1LACM-DTI (EA 4302 LRC CEA 0534), Université Reims Champagne-Ardenne, France
Further Information

Publication History

accepted after revision October 12, 2008

Publication Date:
06 February 2009 (online)

Abstract

The purpose of this study was to test the validity and reliability of a new method to estimate the projected frontal area of the body during cycling. To illustrate the use of this method in another cycling speciality (i.e. mountain bike), the NM data were coupled with a powermeter measurement to determine the projected frontal area and the coefficient of drag in actual conditions. Nine male cyclists had their frontal area determined from digital photographic images in a laboratory while seated on their bicycles in two positions:Upright Position (UP) and Traditional Aerodynamic Position (TAP). For each position, the projected frontal area for the body of the cyclist as well as the cyclist and his bicycle were measured using a new method with computer aided-design software, the method of weighing photographs and the digitizing method. The results showed that no significant difference existed between the new method and the method of weighing photographs in the measurement of the frontal area of the body of cyclists in UP (p=0.43) and TAP (p=0.14), or between the new method and the digitizing method in measurement of the frontal area for the cyclist and his bicycle in UP (p=0.12) and TAP (p=0.31). The coefficients of variation of the new method and the method of weighing photographs were 0.1% and 1.26%, respectively. In conclusion, the new method was valid and reliable in estimating the frontal area compared with the method of weighing photographs and the digitizing method.

References

  • 1 Anton MM, Izquierdo M, Ianez J, Asiain X, Mendiguchia J, Gorostiaga EM. Flat and uphill climb time trial performance prediction in elite amateur cyclists.  Int J Sport Med. 2007;  28 306-313
  • 2 Atkinson G, Nevill AM. Statistical methods for assessing measurement error reliability in variables relevant to sports medicine.  Sports Med. 1998;  26 217-238
  • 3 Bertucci W, Duc S, Villerius V, Pernin JN, Grappe F. Validity and reliability of the Power Tap mobile cycling powermeter when compared with the SRM device.  Int J Sports Med. 2005;  26 868-873
  • 4 Bland JM, Altman DG. Statistical methods for assessing agree-ment between two methods of clinical measurement.  Lancet. 1986;  1 307-310
  • 5 Candau R, Grappe F, Ménard M, Barbier B, Millet GP, Hoffman M, Belli AR, Rouillon JD. Simplified deceleration method for assess-ment of resistive forces in cycling.  Med Sci Sports Exerc. 1999;  31 1441-1447
  • 6 Capelli C, Rosa G, Butti F, Ferretti G, Veicsteinas A, di Prampero PE. Energy cost and efficiency of riding aerodynamic bicycles.  Eur J Appl Physiol. 1993;  67 144-149
  • 7 Davies CTM. Effect of air resistance on the metabolic cost and performance in cycling.  Eur J Appl Physiol. 1980;  45 245-254
  • 8 di Prampero PE, Cortilli G, Mognoni P, Saibene. Equation of motion of a cyclist.  J Appl Physiol. 1979;  47 201-206
  • 9 di Prampero PE. Cycling on Earth, in space, on the Moon.  Eur J Appl Physiol. 2000;  82 345-360
  • 10 Dorel S, Hautier CA, Rambaud O, Rouffet D, Praagh E Van, Lacour JR, Bourdin M. Torque and power-velocity relationships in cycling: Relevance to track sprint performance in world-class cyclists.  Int J Sports Med. 2005;  26 739-746
  • 11 Du Bois D, Du Bois EF. Clinical calorimetry: a formula to estimate the approximative surface area if height and weight be known.  Arch Intern Med. 1916;  17 863-871
  • 12 Garcia-Lopez J, Rodriguez-Marroyo JA, Juneau C-E, Peleteiro J, Cordova Martinez A, Villa JG. Reference values and improvement of aerodynamic drag in professional cyclists.  J Sports Sci. 2008;  26 277-286
  • 13 Gonzalez-Haro C, Galilea Ballarini PA, Soria M, Drobnic F, Escanero JF. Comparison of nine theoretical models for estimating the mechanical power output in cycling.  Br J Sports Med. 2007;  41 506-509
  • 14 Gonzalez-Haro C, Galilea PA, Escanero JF. Comparison of different theoretical models estimating peak power output and maximal oxygen uptake in trained and elite triathletes and endurance cyclists in the velodrome.  J Sports Sci. 2008;  26 591-601
  • 15 Grappe F, Candau R, Belli A, Rouillon JD. Aerodynamic drag in field cycling with special reference to the Obree's position.  Ergonomics. 1997;  40 1299-1311
  • 16 Heil DP. Body mass scaling of frontal area in competitive cyclists not using aero-handlebars.  Eur J Appl Physiol. 2002;  87 520-528
  • 17 Heil DP. Body mass scaling of projected frontal area in competitive cyclists.  Eur J Appl Physiol. 2001;  85 358-366
  • 18 Heil DP. Body size as a determinant of the 1-h cycling record at sea level and altitude.  Eur J Appl Physiol. 2005;  93 547-554
  • 19 Jeukendrup AE, Martin J. Improving cycling performance. How should we spend our time and money?.  Sports Med. 2001;  31 559-569
  • 20 Martin JC, Gardner AS, Barras M, Martin DT. Modeling sprint cycling using field-derived parameters and forward integration.  Med Sci Sports Exerc. 2006;  38 592-597
  • 21 Martin JC, Milliken DL, Cobb JE, MacFadden KL, Coggan AR. Validation of a mathematical model for road cycling power.  J Appl Biomech. 1998;  14 245-259
  • 22 Mertins R, Elsholz E, Barakat S, Colak B. 3D viscous flow analysis on wing-body-aileron-spoiler configurations.  Aerospace Science and Technology. 2005;  9 476-484
  • 23 Millet GP, Candau R. Facteurs mécaniques du coût énergétique dans trois locomotions humaines: Mechanical factors of the energy cost in three human locomotions.  Sci Sports. 2002;  17 166-176
  • 24 Nevill AM, Atkinson G. Assessing agreement between measurements recorded on a ration scale in sports medicine and sports science.  Br J Sports Med. 1997;  31 314-318
  • 25 Nevill AM. Why the analysis of performance variables recored on a ration scale will invariably benefit from a log transformation.  J Sports Sci. 1997;  15 457-458
  • 26 Olds TS, Norton KI, Craig NP. Mathematical model of cycling performance.  J Appl Physiol. 1993;  75 730-737
  • 27 Olds TS, Norton KI, Lowe ELA, Olive S, Reay F, Ly S. Modeling road-cycling performance.  J Appl Physiol. 1995;  78 1596-1611
  • 28 Padilla S, Mujika I, Angulo F, Goiriena JJ. Scientific approach to the 1-h cycling world record: a case study.  J Appl Physiol. 2000;  89 1522-1527
  • 29 Swain DP. Influence of body size on oxygen consumption during bicycling.  J Appl Physiol. 1987;  62 668-672

Correspondence

P. DebrauxPhD. Student 

LACM

UFR STAPS

Bâtiment 6

Campus Moulin de la Housse

51687 Reims

France

Phone: +33/3/26 91 31 74

Fax: +33/3/26 91 38 06

Email: pierre.debraux@etudiant.univ-reims.fr

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