Model for assessment of the velocity and force at the start of sprint race

Janjić, Nataša; Kapor, D.; Doder, Dragan; Petrović, Aleksandar; Jarić, Slobodan

doi:10.1080/02640414.2016.1164331

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…In the final section, instead, there is a decrease in speed (phase of decreasing speed 70-100m) (Forte et al, 2019). Therefore, the running technique involves a purely linear movement and no centrifugal or centripetal force (Nataša J. Janjić et al, 2017). The subjects to which the following work refers are athletes belonging to the following categories: amputees, brain-damaged and normal-born.…”

Section: Introductionmentioning

confidence: 99%

Comparison between sprint training methods in different types of athletes

Pisapia

Cassese

Valentini

et al. 2019

Journal of Human Sport and Exercise - 2019 - Spring Conferences of Sports Science

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Each category of disability includes a different type of training that meets your needs. Therefore it is important that each trainer is able to make adequate methodological-didactic decisions, resorting to an ecological and/or cognitive approach, depending on the objectives to be achieved. The following research aims to study the differences in the theories-methods of sprint training (100 meters) adopted in the different categories of athletes: élite able-bodied and disabled athlete. The method adopted is the archival research with the comparison of selected scientific product selected through the revision in the specific topics. The described data contains elements of the different physical characteristics of each athlete, the limits, the possibilities that each one possesses and the organic-muscular adaptations. In conclusion, it is possible to affirm that this implies a personal adaptation to the training method, capable to enhancing all types of athletes according to their specific characteristics.

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Section: Introductionmentioning

confidence: 99%

Comparison between sprint training methods in different types of athletes

Pisapia

Cassese

Valentini

et al. 2019

Journal of Human Sport and Exercise - 2019 - Spring Conferences of Sports Science

View full text Add to dashboard Cite

show abstract

“…A more trustworthy approach is through the theoretical simulations (Vaughan 1983a(Vaughan , 1983b of mechanical models in which several variables can be taken into account. Among the many models in the literature (Furusawa et al 1927, Fenn 1930, Keller 1973, Shanebrook and Jaszczak 1975, Holmlund and von Hertzen 1997, Wagner 1998, Alexandrov and Lucht 1981, Pritchard 1993, Helene and Yamashita 2010, Barbosa et al 2016, Janjić et al 2017, in this paper we will concentrate on the successful mechanical model developed by Hernández-Gómez et al (2013) for the 100 m sprint, which we now apply to understanding Bolt's performance from Beijing 2008 to Rio 2016. To address the question of why he has not been able to break the world record he set at Berlin 2009, we evaluated the relevance of parameters such as the mass and age of the runner, as well as the sprint tailwind.…”

Section: Introductionmentioning

confidence: 99%

Impact of mass gain, tailwind and age on the performance of Usain Bolt from Beijing 2008 to Rio 2016

2017

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Despite the impressiveness of the sprints run by Usain Bolt, the question naturally arises of why he has not been able to break the 100 m sprint world record he set in Berlin (2009). In this paper, we address such a query by considering Bolt’s condition and the prevailing circumstances during the sprints that took place in Beijing 2008, Berlin 2009, London 2012, Moscow 2013, Beijing 2015 and Rio 2016. Using the analytical mechanical model by Hernández-Gómez et al (), we analyse all the events, equating what we thought were the principal factors a priori: tailwind, weight gain and age. Despite what one might expect about the role of age in such a high-performance athlete as Usain Bolt, our results show that his performance has been essentially constant from Beijing 2009 to Rio 2016, with the mass gain and tailwind conditions making the difference in the run times he has achieved since Berlin 2009. Actually, our analysis suggests that in equal mass and tailwind conditions, his world record could actually have been set at Beijing 2015.

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“…with: m – sprinter’s mass, F(t)= F – constant force of the sprinter (Doder et al, 2012; Janjić et al, 2016), kv – force of the resistance of the medium, k – coefficient of the resistance of the medium (air), lw 2 –force of the wind influence, w – constant wind velocity colinear with sprinter velocity, l – coefficient of the resistance of the medium with wind, which according to common practice we took equal for all sprinters l = 0.3 kg/m (Helene and Yakachita, 2010).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the Final Time and Velocity of a 100 m Run Under the Realistic Conditions

Janjić

Kapor

Doder

et al. 2019

Journal of Human Kinetics

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The aim of the research was to provide an analytical expression for the final time and velocity at the 100 m run, taking into account realistic conditions of the run, more precisely the effect of the wind and resistance of the medium (air). Combining the polynomial model for the distance vs time with the solution of the algebraic cubic equation, such an analytical expression was derived. The expression allowed to evaluate the dependence of the final time of the race on the wind velocity. This enabled the quantification of the time effect of the mentioned influences on the final time and velocity. It is possible to calculate the dependence of the sprinter’s velocity on expired running time for various wind velocities (from 0 up to ± 10 m/s) as well as determine the maximal running velocity vmax and corresponding time moment tmax. The results obtained were verified using split time data for six top sprinters: C. Lewis, M. Green, U. Bolt and F. Griffith-Joyner, E. Ashford and H. Drechsler. The results confirmed that it was possible to quantify the time effect of the influence of the wind velocity and resistance of the medium on the final time of the 100 m run. Although the applicability of the approach was tested using the data concerning top sprinters, the mathematical expressions involved are simple enough to be used by any coach to estimate the results of a sprinter under various weather conditions.

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Model for assessment of the velocity and force at the start of sprint race

Cited by 7 publications

References 11 publications

Comparison between sprint training methods in different types of athletes

Comparison between sprint training methods in different types of athletes

Impact of mass gain, tailwind and age on the performance of Usain Bolt from Beijing 2008 to Rio 2016

Evaluation of the Final Time and Velocity of a 100 m Run Under the Realistic Conditions

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