ArticlePDF Available

Power Requirements for Swimming a World-Record 50-m Front Crawl

Authors:

Figures

Content may be subject to copyright.
61
Power Requirements for Swimming
a World-Record 50-m Front Crawl
Huub M. Toussaint and Martin Truijens
Peak performances in sport require the full deployment of all powers an athlete
possesses. How factors like mechanical power output, technique, and drag, each
in itself but also in concert with each other, determine swimming performance is
the subject of inquiry in this case study.
At constant speed, a swimmer is subjected to the resistive forces of water, that
is, drag (Fd) depending on a drag factor K and the swimming speed squared (v2;
see Equation 1). In order to overcome these resistive forces the swimmer has to
generate power (Pd, ie, force times velocity) according to
Pd = Fd · v = K · v2 · v = K · v3 (1)
In swimming, Pd is not equal to the total mechanical power (Po) a swimmer
has to deliver: The generation of propulsion in a uid always leads to the loss of
mechanical power that will be transferred in the form of kinetic energy from the
swimmer to the uid. Thus, in competitive swimming 2 important mechanical-power
terms of the total power (Po) can be discerned: power used benecially to overcome
drag (Pd) and power lost in giving water a kinetic-energy change (Pk). Hence,
Po = Pd + Pk (2)
The ratio between the useful mechanical power spent to overcome drag (Pd)
and the total mechanical power output (Po) is dened as the propelling efciency,
ep.1,2
eP
P
P
P P
pd
o
d
d k
= =
+
(3)
Combining Equation 1 with Equation 3, it appears that swimming speed
depends on power output, a drag factor, and propelling efciency:
vP e
K
=
o p
3
(4)
These theoretical considerations will be put to use by predicting individual
power requirements for swimming a world record in the 50-m freestyle based on
experimental data obtained with the MAD system (see Figure 1),3 in which the
swimmer pushes off from xed pads with each stroke. These 16 push-off pads,
The authors are with the Faculty of Human Movement Sciences, Vrije Universiteit, Amsterdam, The
Netherlands.
CASE STUDIES
International Journal of Sports Physiology and Performance, 2006;1:61-64
© 2006 Human Kinetics, Inc.
62 Toussaint and Truijens
Power Requirements in Swimming 63
placed 1.35 m apart, are attached to a 22-m-long, highly rigid aluminum rod that is
mounted 0.8 m below the water surface. The rod is connected to a force transducer
enabling direct measurement of push-off forces. Subjects use their arms only for
propulsion; their legs are oated with a small buoy. If a constant swimming speed is
maintained, the mean propelling force equals the mean drag force. Hence, swimming
1 lap on the system yields 1 data point for the speed-drag curve (see Figure 2).
Figure 1 — System to measure active drag (MAD system).
Figure 2 — Drag dependent on speed for subject JK.
62 Toussaint and Truijens
Power Requirements in Swimming 63
The MAD system can also be used to estimate propelling efciency. Given
that the xed push-off pads below the water enable the generation of propulsion
without loss of energy to the water, all-out sprints performed on the MAD system
enable faster swimming than all-out sprints when swimming “free.Consider-
ing that power to overcome drag relates to swimming speed cubed and assuming
equal power output in two 25-m sprints (free and MAD), the ratio of speed cubed
sprinting all-out “free” relative to the speed cubed sprinting all out on the MAD
system reects ep:
eP
P
K v
K v
v
v
pd
o
free
MAD
3
free
3
MAD
3
= =
=
3
(5)
Swimmer JK is a world-class sprinter (50-m best time = 22.14 seconds) ranked
fourth at the 2003 World Championships in Barcelona and was the silver medalist
at the 2004 Olympic Games. The question was raised as to what power output is
required for JK to break the 50-m front-crawl world record (21.64 seconds).
Drag dependent on speed for JK equals 27.37v1.821 (Figure 2). The maximal
power output while swimming with arms only was found to be 220 W while reach-
ing a speed of 2.06 m/s (March 2003, see Figure 3). Sprinting with arms only in a
free-swimming condition, a speed of 1.88 m/s was obtained, yielding a calculated
propulsive efciency of 78%. When sprinting with arms and legs on the MAD
system, a speed of 2.22 m/s was achieved, requiring a total power output of 281 W.
With these performance factors a “free” swimming speed of 2.10 m/s was attained,
the start not included, yielding a 50-m time of 22.14 seconds.
Figure 3 — Power output swimming arms only (dots) and 50-m time (squares) for subject
JK. Note that not all tests are equally spaced in time.
64 Toussaint and Truijens
Breaking the world record requires a speed improvement of at least 2.3%
leading to a total power requirement of 320 W. Considering that the highest power
output ever measured in JK is 297 W (swimming with arms and legs) and that an
adequate taper should increase power output by about 10%,4 setting a world record
should be within this swimmer’s reach, at least when physical-performance factors
are taken into consideration.5
In this context it is interesting to note that the use of the MAD system as a
water-based strength-training device has been evaluated. A study revealed that a
group sprinting on the MAD system 3 times a week improved race times for free
swimming on 50 m, 100 m, and 200 m6 signicantly more than a control group.
This was attributed to a greater improvement in power measured on the MAD
system relative to the control group.
References
1. Alexander RM. Swimming. In: Alexander RM, Goldspink G, eds. Mechanics and
Energetics of Animal Locomotion. London, UK: Chapman & Hall; 1977:222-249.
2. Toussaint HM, Beelen A, Rodenburg A, et al. Propelling efciency of front crawl
swimming. J Appl Physiol. 1988;65:2506-2512.
3. Toussaint HM, de Groot G, Savelberg HHCM, Vervoorn K, Hollander AP, van Ingen
Schenau GJ. Active drag related to velocity in male and female swimmers. J Biomech.
1988;21:435-438.
4. Mujika I, Padilla S, Pyne D. Swimming performances changes during the nal 3 weeks
of training leading to the Sydney 200 Olympic Games. Int J Sports Med. 2002;23:582-
587.
5. Toussaint HM, Truijens MJ. Biomechanical aspects of peak performance in human
swimming. Animal Biol. 2005;55:17-40.
6. Toussaint HM, Vervoorn K. Effects of specic high resistance training in the water on
competitive swimmers. Int J Sports Med. 1990;11:228-233.
... Swimming sprint performance seems to be highly influenced by neuromuscular and biomechanical factors, such as muscle power, propulsion efficiency and biomechanical performance [1,2]. This was also evidenced by the relationship recently found between short swimming distances and in-water propelling force and some strength assessments [3]. ...
... Researchers extensively used tethered swimming to measure and quantify forces in each stroke and in different swimming techniques. However, due to their specificity and some bias in training monitoring (considering some constraints of the tethered swim, differing from the real swim performance), the results found still not consensual about the influence of strength in swimming and further studies should be developed [1][2][3]. ...
Article
Swimmers are tested in both dry land and specific swim protocol. The purpose of the present study was to verify the relationships between dry-land exercises and sprint swimming performance. Fifteen male college swimmers (age: 20 ± 1.46; body mass: 67.81 ± 8.04 kg; height: 177.60 ± 6.99 cm) of high-level volunteered to participate. Strength variables (bench press, full-squat, countermovement jump and the medicine ball throwing), swimming performance (50m and100m front crawl), biomechanical variables (stroke length, stroke frequency, stroke index) were assessed in different days in the beginning of the season. The correlations between swimming test and strength test were quantified using Pearson's bivariate correlation coefficient (r), assuming a significance level of p<0.05. Bench press a maximum repetition(1RM) showed correlation with 50m front crawl performance (p<0.05). The strength variables were strongly correlated with the biomechanical variables, specifically the stroke length and the stroke index in the 50m (r = 0.56 to 0.83) and in 100m front crawl (r = 0.561 to 0.718). It is suggested that strength variables are relevant to swimming performance and also influence swimming technique. Thus, strength training should be included to improve swimming performance. Coaches are encouraged to implement strategies enable to increase overall power and strength in sprinter swimmers, considering the abovementioned dry-land exercises.
... 29 Moreover, the mechanical power output by the swimmer is difficult if not impossible to determine without influencing the swimming movement; moreover, the methods that have been described for this purpose in pertinent literature are known to yield vastly different results. 27,[30][31][32] Finally, the intricate interrelations between motor control, perception, and cognition are still poorly understood and subject of controversy. 33 Thus, the use of a heuristic model, based on variables that can be measured in training, seems warranted. ...
Article
Full-text available
Swim coaches routinely monitor the performance and performance determining variables of their athletes to optimize training programs in an individual-specific manner with the ultimate aim to swim faster and win races. To interpret the collected data, they require a suitable, and practically useful, conceptual framework, which can be found in the power balance of swimming. For coaches a heuristic model for training and performance optimization based on the power balance has been proposed. We build on this model and illustrate how it can be employed in the training practice using data of an exemplary sub-elite swimmer (700 FINA points), which was collected continuously during two training sessions. Variables that are used in daily swim training practice, such as heart rate (HR), stroke count (SC), stroke rate (SR), and lap time (LT), were measured. By combining external load variables (e.g. LT) and internal load variables (e.g. HR) with technical variables (e.g. SR), the degree to which the swimmer complies with the training program can be determined. The measured values of these variables are presented using a traffic light feedback system indicating the degree of compliance. The traffic light system enables coaches to adjust the program if deemed necessary. It is thus shown how the model and commonly measured variables can assist swim coaches in the design and evaluation of training sessions in their pursuit of personal performance improvement leading to greater athletic success.
... Unlike the ground surface in running, water is a non-stationary medium that is brought into motion during the push-off (van Ingen Schenau and Cavanagh, 1990; Rodríguez and Mader, 2011). The theoretical relationship between swim speed (v), power output (Po), propelling efficiency (ep) and drag (represented by the drag coefficient K) shows how power output and propelling efficiency both contribute to swimming speed (Toussaint and Truijens, 2006;Rodríguez and Mader, 2011): ...
... Unlike the ground surface in running, water is a non-stationary medium that is brought into motion during the push-off (van Ingen Schenau and Cavanagh, 1990;Rodríguez and Mader, 2011). The theoretical relationship between swim speed (v), power output (P o ), propelling efficiency (e p ) and drag (represented by the drag coefficient K) shows how power output and propelling efficiency both contribute to swimming speed (Toussaint and Truijens, 2006;Rodríguez and Mader, 2011): ...
Article
Full-text available
To date, optimal propulsion in swimming has been studied predominantly using physical or computational models of the arm and seldom during real-life swimming. In the present study we examined the contributions of selected power, technique and anthropometric measures on sprint performance during arms-only front crawl swimming. To this end, 25 male adult competitive swimmers, equipped with markers on their arms and hands, performed four 25-m sprint trials, which were recorded on video. For the fastest trial of each swimmer, we determined the average swim speed as well as two technique variables: the average stroke width and average horizontal acceleration. Each participant also swam 10-12 trials over a custom-made system for measuring active drag, the MAD system. Since the propelling efficiency is 100% while swimming over the MAD system, the power output of the swimmer is fully used to overcome the drag acting on the body. The resulting speed thus represents the ratio between power output and drag. We included this power-to-drag ratio, the power output and the drag coefficient of the fastest trial on the MAD system in the analysis. Finally, the body height and hand surface area of each swimmer were determined as anthropometric variables. A model selection procedure was conducted to predict the swim speed from the two technique variables, three power variables and the two anthropometric variables. The ratio between power output and the drag was the only significant predictor of the maximal swimming speed (v = 0.86·power/drag). The variations in this ratio explained 65% of the variance in swimming performance. This indicates that sprint performance in arms-only front crawl swimming is strongly associated with the power-to-drag ratio and not with the isolated power variables and the anthropometric and technique variables selected in the present study.
... These subjects increased their swimming velocity on average with 1.88 % whereas P max increased with 8.12 %. These findings are in line with Toussaint & Truijens (2006) who suggested that 7 % increase in P max would evoke 2.3 % increase in swimming velocity. In the present study, the increased P max could be traced back to a significant increase in F 0 and a trend in increased v 0 . ...
Thesis
Full-text available
Aim The aim of this study was to ascertain the effect of resisted sprint training in swimming on maximal swimming velocity and performance characteristics. The aim was also to examine how maximal swimming velocity is related to maximal swim power and maximal dry-land power. Method Eighteen competitive national level swimmers (9 male and 9 female; age: 18.3 ± 2.3 years, body mass: 72 ± 8.3 kg, height: 177.2 ± 4.6 cm, mean ± SD) were recruited to this study. Subjects were assigned to either resisted sprint training (RST) or unresisted sprint training (UST). Sprint training was performed two times per week during 6 weeks as 8x15m with a 2min send-off interval. RST performed sprint training using individualized load corresponding 10% of maximum drag load (L 10), UST performed sprint training with no added resistance. A test-battery including dry-land strength assessment; maximal strength (MxS) and explosive strength (ExS), a timed 25m front-crawl swim and in-water force-velocity profiling was performed prior and following the training intervention. Maximal swim power (P max), maximum drag load (F 0), theoretical maximum velocity (v 0) and slope of force-velocity curve (S Fv) was computed though force-velocity profiling. Results No significant within group differences occurred in neither RST nor UST following the 6-week intervention period in: swimming velocity, MxS, ExS, P max , F 0 , v 0 , and S Fv. Strong correlations were found between swimming velocity and MxS (r = 0.75), ExS (r = 0.82) and P max (r = 0.92). Conclusion Resisted sprint training in swimming using L 10 did in the present study not elicit any improvements in maximal swimming velocity or examined performance characteristics. Resisted sprint training does not appear to be a superior method of improving swimming performance compared to unresisted sprint training. MxS, ExS and P max can be used as robust predictors of swim performance, however only P max was found to be casually related to swimming velocity. Acknowledgments I would like to express gratitude to my supervisor Dr. Lennart Gullstrand for guidance and feedback along the journey. Great thank you to Johan Wallberg for providing me with literature and valuable advice, also thank you to Carl Jenner for support and interesting discussions on the topic. Special thanks to Juan Alonso for supplying me with equipment and teaching me how to operate it. Thank you to Manni Svensson at 1080 Motion for showing interest in the project and to Prof. Peter Schantz for precious feedback in the finishing stages. Lastly, big thank you to all the swimmers who volunteered to participate in the project. Abbreviation Dictionary C D-hydrodynamic force coefficient ExS-dry-land explosive strength e g-gross efficiency e p-propelling efficiency F p-propulsive force F d-drag force F-v-force-velocity F 0-theoretical maximum force (maximum drag load) L 10-load corresponding 10% of maximum drag load L opt-load corresponding to maximal power output MxS-dry-land maximal strength P d-power to overcome drag (useful power) P k-power lost in giving water kinetic energy P i-power input (metabolic power) P max-maximal swim power P o-mechanical power output RST-resisted sprint training SI-stroke index SL-stroke length SR-stroke rate (stroke frequency) S Fv-slope of force-velocity curve UST-unresisted sprint training v 0-theoretical maximum velocity ∆%-delta in % (change in %)
... However, the competitive level of the swimmers tested in some of these studies may hinder the application of these experimental findings for elite athletes. 12 Studies comprising elite swimmers typically present cross-sectional data [13][14][15] and/or do not focus on the integration of the different aspects of an athlete's preparation. Differently, Slominski and Nowacka 16 described in detail the external training load planned and implemented within a four-year cycle that led one swimmer to European, World and Olympic medals. ...
Article
Full-text available
This study aimed to describe training characteristics as well as physical, technical and morphological changes of an elite Olympic swimming sprinter throughout his road to 21 s in the 50m freestyle. Over a ~2.5-year period, the following assessments were obtained: external training load, competitive performance, instantaneous swimming speed, tethered force, dry-land maximal dynamic strength in bench press, pull-up and back squat and body composition. From 2014 to 2016, the athlete dropped 3.3% of his initial best time by reducing total swimming time (i.e. the total time minus 15-m start time – from 17.07 s to 16.21 s) and improving the stroke length (from 1.83m to 2.00 m). Dry-land strength (bench press: 27.3%, pull-up: 9.1% and back squat: 37.5%) and tethered force (impulse: 30.5%) increased. Competitive performance was associated to average (r = -0.82, p = 0.001) and peak speeds (r = -0.71; p = 0.009) and to lean body mass (r = -0.55; p = 0.03), which increased in the first year and remained stable thereafter. External training load presented a polarized pattern in all training seasons. This swimmer reached the sub-22 s mark by reducing total swimming time, which was effected by a longer stroke length. He also considerably improved his dry-land strength and tethered force levels likely due to a combination of neural and morphological adaptations.
... However, the competitive level of the swimmers tested in some of these studies may hinder the application of these experimental findings for elite athletes. 12 Studies comprising elite swimmers typically present cross-sectional data [13][14][15] and/or do not focus on the integration of the different aspects of an athlete's preparation. Differently, Slominski and Nowacka 16 described in detail the external training load planned and implemented within a four-year cycle that led one swimmer to European, World and Olympic medals. ...
Article
Full-text available
This study aimed to describe training characteristics as well as physical, technical and morphological changes of an elite Olympic swimming sprinter throughout his road to 21 s in the 50m freestyle. Over a ~2.5-year period, the following assessments were obtained: external training load, competitive performance, instantaneous swimming speed, tethered force, dry-land maximal dynamic strength in bench press, pull-up and back squat and body composition. From 2014 to 2016, the athlete dropped 3.3% of his initial best time by reducing total swimming time (i.e. the total time minus 15-m start time – from 17.07 s to 16.21 s) and improving the stroke length (from 1.83m to 2.00 m). Dry-land strength (bench press: 27.3%, pull-up: 9.1% and back squat: 37.5%) and tethered force (impulse: 30.5%) increased. Competitive performance was associated to average (r = -0.82, p = 0.001) and peak speeds (r = -0.71; p = 0.009) and to lean body mass (r = -0.55; p = 0.03), which increased in the first year and remained stable thereafter. External training load presented a polarized pattern in all training seasons. This swimmer reached the sub-22 s mark by reducing total swimming time, which was effected by a longer stroke length. He also considerably improved his dry-land strength and tethered force levels likely due to a combination of neural and morphological adaptations.
Article
Full-text available
Our aim was to investigate if using a warm-up routine that included parachute-resisted sprints with large hand-paddles improves 50 m freestyle performance in trained collegiate swimmers. Twelve swimmers (23.9 ± 2.2 years, 179 ± 7 cm, 77.1 ± 10.6 kg) participated in the study and completed two 50-m freestyle races, each preceded by a different warm-up routine, either control (CON) or experimental (EXP). The warm-up routines consisted of 500 m of swimming at self-selected speed, followed by four 10 s sprints with 1 min rest intervals. During EXP, sprints were performed using large hand-paddles and a swimming parachute, while during CON, sprints were performed freely. Performance and technique were assessed during the 50 m freestyle races. We found no significant differences in 25- and 50 m performance times (CON: 12.6 ± 0.8 vs. EXP: 12.5 ± 0.8 s, ES = 0.125; and CON: 26.8 ± 1.6 vs. EXP: 26.7 ± 1.7 s, ES = 0.06, respectively) between the two conditions. Mean stroke length (CON: 2.04 ± 0.21 vs. EXP: 2.02 ± 0.22 m·cycle ⁻¹ , ES = 0.09), stroke frequency (CON: 55.4 ± 5.3 vs. EXP: 56.3 ± 5.2 cycles s ⁻¹ , ES = 0.17), and propulsive time (CON: 0.62 ± 0.07 vs. EXP: 0.61 ± 0.06 s, ES = 0.15) were also not different between conditions. It is possible that the CON warm-up routine induced the priming effects that lead to PAPE, or that the EXP warm-up routine primed the athletes further but also induced greater fatigue, resulting in no significant effects on swimming performance. Our findings suggest that parachute-resisted sprints with hand-paddles during warm-up do not enhance 50 m freestyle swimming performance in trained collegiate swimmers. Coaches and practitioners should consider exploring different warm-up protocols to identify what works best for their athletes.
Article
Full-text available
In this study the propelling efficiency (ep) of front-crawl swimming, by use of the arms only, was calculated in four subjects. This is the ratio of the power used to overcome drag (Pd) to the total mechanical power (Po) produced including power wasted in changing the kinetic energy of masses of water (Pk). By the use of an extended version of the system to measure active drag (MAD system), Pd was measured directly. Simultaneous measurement of O2 uptake (VO2) enabled the establishment of the relationship between the rate of the energy expenditure (PVO2) and Po (since when swimming on the MAD system Po = Pd). These individual relationships describing the mechanical efficiency (8-12%) were then used to estimate Po in free swimming from measurements of VO2. Because Pd was directly measured at each velocity studied by use of the MAD system, ep could be calculated according to the equation ep = Pd/(Pd + Pk) = Pd/Po. For the four top class swimmers studied, ep was found to range from 46 to 77%. Total efficiency, defined as the product of mechanical and propelling efficiency, ranged from 5 to 8%.
Article
Full-text available
The purpose of this study was to determine the magnitude of the swimming performance change during the final 3 weeks of training (F3T) leading to the Sydney 2000 Olympic Games. Olympic swimmers who took part in the same event or events at the Telstra 2000 Grand Prix Series in Melbourne, Australia, (26 - 27 August 2000), and 21 - 28 d later at the Sydney 2000 Olympic Games (16 - 23 September 2000) were included in this analysis. A total of 99 performances (50 male, 49 female) were analysed. The overall performance improvement between pre- and post-F3T conditions for all swimmers was 2.18 +/- 1.50 % (p < 0.0001), (range - 1.14 % to 6.02 %). A total of 91 of the 99 analysed performances were faster after the F3T and only 8 were slower. The percentage improvement with F3T was significantly higher (P < 0.01) in males (2.57 +/- 1.45 %) than in females (1.78 +/- 1.45 %). In conclusion, the pre-Olympic F3T elicited a significant performance improvement of 2.57 % for male and 1.78 % for female swimmers at the Sydney 2000 Olympic Games. The magnitude was similar for all competition events, and was achieved by swimmers from different countries and performance levels. These data provide a quantitative framework for coaches and swimmers to set realistic performance goals based on individual performance levels before the final training phase leading to important competitions.
Article
Peak performances in sport require the full deployment of all the powers an athlete possesses. How factors such as mechanical power output, technique and drag, each individually, but also in concert, determine swimming performance is the subject of this enquiry. This overview of swimming biomechanics focuses on three performance factors: (i) generation of propulsion in water; (ii) drag encountered by the body during swimming; and (iii) propulsive efficiency. Theoretical considerations will be put to use by predicting individual power requirements for swimming a world record in the 50 m freestyle based on experimental data.
Article
A new training device derived from the MAD-system (system to measure active drag, Hollander et al. (8], providing fixed push off points in the water for swimming, the front crawl is described. The effects of training on this device (called POP from fixed Push Off Point) are determined by comparing the increase in performance of a training group (n = 11) to a control group (n = 11). The control group continued the normal training program. During ten weeks the training group followed the same program, but three times per week sprints performed on the POP were substituted for normal free swimming sprints. Despite the fact that training time and volume were equal, the training group showed a significantly greater improvement in force (from 91 to 94 N, 3.3%), velocity (from 1.75 to 1.81 m.s-1, 3.4%) and power (from 160 to 172 W, 7%) as measured on the MAD-system, and an increase in distance per stroke in free swimming. The training group showed a significant improvement in race times for 50 m (from 27.2 to 26.6 s), 100 m (from 59.3 to 57.4 s) and 200 m (from 129.6 to 127.3 s). It is concluded that the POP is a specific training device especially suitable for increasing maximal power output during swimming.
Article
Propulsive arm forces of 32 male and 9 female swimmers were measured during front crawl swimming using arms only, in a velocity range between 1.0 m s-1 and 1.8 m s-1. At constant velocity, the measured mean propulsive force Fp equals the mean active drag force (Fd). It was found that Fd is related to the swimming velocity v raised to the power 2.12 +/- 0.20 (males) or 2.28 +/- 0.35 (females). Although many subjects showed rather constant values of Fd/v2, 12 subjects gave significantly (p less than 0.01) stronger or weaker quadratic relationships. Differences in drag force and coefficient of drag between males and females (drag: 28.9 +/- 5.1 N, 20.4 +/- 1.9 N, drag coefficient: 0.64 +/- 0.09, 0.54 +/- 0.07 respectively) are especially apparent at the lowest swimming velocity (1 m s-1), which become less at higher swimming velocities. Possible explanations for the deviation of the power of the velocity from the ideal quadratic dependency are discussed.
Mechanics and Energetics of Animal Locomotion
  • Rm Alexander
  • Swimming
Alexander RM. Swimming. In: Alexander RM, Goldspink G, eds. Mechanics and Energetics of Animal Locomotion. London, UK: Chapman & Hall; 1977:222-249.