Elsevier

Journal of Biomechanics

Volume 32, Issue 12, December 1999, Pages 1259-1267
Journal of Biomechanics

Dynamics of the long jump

https://doi.org/10.1016/S0021-9290(99)00137-2Get rights and content

Abstract

A mechanical model is proposed which quantitatively describes the dynamics of the centre of gravity (c.g.) during the take-off phase of the long jump. The model entails a minimal but necessary number of components: a linear leg spring with the ability of lengthening to describe the active peak of the force time curve and a distal mass coupled with nonlinear visco-elastic elements to describe the passive peak. The influence of the positions and velocities of the supported body and the jumper's leg as well as of systemic parameters such as leg stiffness and mass distribution on the jumping distance were investigated. Techniques for optimum operation are identified: (1) There is a minimum stiffness for optimum performance. Further increase of the stiffness does not lead to longer jumps. (2) For any given stiffness there is always an optimum angle of attack. (3) The same distance can be achieved by different techniques. (4) The losses due to deceleration of the supporting leg do not result in reduced jumping distance as this deceleration results in a higher vertical momentum. (5) Thus, increasing the touch-down velocity of the jumper's supporting leg increases jumping distance.

Introduction

Running and jumping are two types of fast saltatoric movements, characterised by a series of alternating aerial and contact phases. The impact occurring during each contact phase serves to negate the vertical momentum. The flight phase is determined by the initial velocity vector of the centre of gravity at take-off and the gravitational acceleration.

The function of the leg in repetitive ground contacts at a constant energy level like in hopping or running is comparable to a spring as shown e.g. by Blickhan (1989), Alexander et al. (1986), McMahon and Cheng (1990) and Farley et al. (1993). Modelling the leg as a spring is suited to describe the landing if the body mass, the leg stiffness, and the initial conditions are known.

The spring–mass model is suitable to describe conservative systems. During the human long jump energy is in fact largely conserved. Nevertheless, due to the high running speed, the first so-called passive impact immediately after touch-down strongly influences the system dynamics. In the long jump this contribution accounts to about 25% of the total momentum and cannot be neglected.

Alexander (1990) proposed a two-segment model with an Hill-type extensor to predict optimum take-off techniques of the jumpers stance leg in high and long jumping. However, to cope with observed jumping distances unrealistic muscle properties had to be chosen. Even a detailed musculo-skeletal system with 17 segments including all important muscles (Hatze, 1981) does not describe the complete ground reaction force pattern in sufficient detail.

The understanding of body dynamics during landing or falling was significantly improved by the concept of wobbling masses introduced by Gruber (Gruber, 1987; Gruber et al., 1998). She showed that the different responses of soft tissues and hard skeleton to impacts are essential for predicting dynamical loads. In long jumping high impacts occur with forces up to 10 times body weight.

Our approach to long jumping is to describe the mechanics of the centre of mass and the mechanical function of the supporting leg using a 2D lumped parameter model with a minimum number of mechanical components. The action of the leg is described by a spring, the effect of soft tissues by the introduction of a visco-elastically coupled mass. Thereby, the influence of either initial conditions such as running speed and angle of attack (measured by video analysis) or model properties (like leg stiffness) on the jumping performance are investigated. The quality of the mechanical approach is judged by comparing the experimental force records with the results of the simulation.

Section snippets

Experiments

In training competitions in 1995 and 1996, 30 long jumps (distance: [5.49±0.86 SD] m) of 18 male and female sport students (m=[75.1±5.13 SD] kg, body height: [1.81±0.06 SD] m) were filmed for later analysis with a VHS camera (50 half-frames/s). The vertical and horizontal ground reaction forces were recorded with a 3D force plate (IAT, Leipzig). Kinematic input parameters for the dynamic models were obtained by digitising the video sequences (APAS, Ariel) (Fig. 1).

The concept of leg stiffness

The leg length r is defined as the

Model description and verification

A simple spring–mass system already predicts optimum strategies for the maximum jumping distance. For quantitative descriptions leg lengthening and mass distributions must be taken into account.

Discussion

The presented mechanical model describes with a minimal set of parameters the dynamics of the long jump. As it is well known (e.g. Hay, 1993), the most influential factor for jumping distance is the running speed. The model predicts also that a certain angle of attack of the leg optimises jumping performance (Alexander, 1990). This optimum requires a relatively low minimal stiffness of the leg.

The controlled musculo-skeleton unit with its connective tissues behaves similarly to a spring with a

Acknowledgements

We thank J. L. van Leeuwen, C. Farley and D. Ferris for useful comments on a draft of this paper. G. Kluge helped to verify the equations of motion. Supported by Deutsche Forschungsgemeinschaft II3B - Bl236/7-1.

References (15)

There are more references available in the full text version of this article.

Cited by (89)

  • Development of an integrated biomechanics informatics system with knowledge discovery and decision support tools for research of injury prevention and performance enhancement

    2022, Computers in Biology and Medicine
    Citation Excerpt :

    In addition to injury prevention, biomechanics, analytics of sports data, and technology-based feedback can also be used to improve athlete performance [3]. Examples include studying the relationship between vertical and horizontal velocity and how position and velocity affect the jump distance in long jump movements [4,5]. Without the data collected from biomechanics research, an athlete's improvement in performance would be dependent on repeating multiple trials with their coaches and reviewing results together.

  • Rules of nature's Formula Run: Muscle mechanics during late stance is the key to explaining maximum running speed

    2021, Journal of Theoretical Biology
    Citation Excerpt :

    Our object of investigation asks for apprehending the essence of the dynamics that are inherent to usually several legs interacting with the ground at the same time, as in a trot, alternating tripodal gaits, or metachronal as well as other multi-legged wave patterns. Following up on the rationale of compensatory mechanical work, the key mechanical event that occurs before TOPSS is, then, the (crucial or representative) muscle under consideration being in the isometric state (ISOMS), which, indeed, occurs close to MS in any spring-mass-like locomotion (Blickhan, 1989; McMahon and Cheng, 1990; Alexander and Vernon, 1975; Heglund et al., 1982; Farley et al., 1993)—see, e.g., the times of maximum joint flexion in human running (Günther and Blickhan, 2002, Table 4) and sprinting (Kuitunen et al., 2002, Fig. 2; Stefanyshyn and Nigg, 1998, Fig. 1), and even in the long jump (Seyfarth et al., 1999; Seyfarth et al., 2000). As we keep in mind in the remainder of this paper that, for a start, TOPSS regularly occurs before, but close to, a single leg’s LO, we also memorise that the event of ISOMS occurs close to MS. Straightly connected to the TOPSS definition, ‘the leg’ of our model may in fact be a lumped one, which consists of more than one anatomical leg.

  • Vertical stiffness during one-legged hopping with and without using a running-specific prosthesis

    2019, Journal of Biomechanics
    Citation Excerpt :

    Further, some cross-sectional studies suggest that endurance training enhances kvert, but strength training, including weight training and/or plyometrics, has a stronger influence on kvert than endurance training (Girard et al., 2010; Harrison et al., 2004; Hobara et al., 2008, 2010b; Laffaye et al., 2005; Rabita et al., 2008). Further, leg spring stiffness and an optimal angle of attack likely influence long jump performance (Seyfarth et al., 1999). Spring-like leg behavior and stiffness regulation have long been considered the principal characteristics of bouncing gaits for legged animals including humans, but it is still unknown how individuals with a lower extremity amputation who use a running-specific prosthesis regulate their spring-like leg behavior during bouncing gaits.

  • Conceptual Models of Legged Locomotion: Model Zoo: Extended Conceptual Models

    2017, Bioinspired Legged Locomotion: Models, Concepts, Control and Applications
  • Conceptual Models of Legged Locomotion

    2017, Bioinspired Legged Locomotion: Models, Concepts, Control and Applications
View all citing articles on Scopus
View full text