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Computational modelling of limb loads from galloping horses on different tracks

Musculoskeletal injuries in racehorses are commonly caused by repeated high magnitude loading generated during galloping that results in deterioration of musculoskeletal tissues through tissue fatigue. A comprehensive computational forelimb musculoskeletal model has been developed that enables the measurement of loads within tendons and ligaments and on joint surfaces of horses moving on a treadmill. This model has been used to estimate loads in the forelimbs of horses galloping on a racetrack and and is being extended into a full body dynamic model.

In this project we propose applying the model to investigate the effect of different track surfaces on loads in the limb. Using three thoroughbred horses in race training we will collect gait data for galloping on the treadmill and at the race track on both sand and synthetic surfaces. These data will complement further development of the model to include track surfaces. Subsequent model interrogation will assess the properties of track surfaces that effect loads in the limbs of galloping horses. Findings will inform decision making on best practice track installation and maintenance in order to minimise musculoskeletal injury risk.

 


 

Project date

20 Aug 2018-29 May 2020
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Principal investigator

Chris Whitton

Research organisations

Project funded by

Multiple industries
Alternative protein Aquaculture Cereal grains Cross industry Essential oils Fruits Game Honey bees Nuts Other rural industries Pasture, fodder & feed Poultry Pulse grains

AgriFutures Australia

AgriFutures Australia proudly focuses on building a rich future for Australian agriculture. We live and work in the regions and …
  • Location

    Australia

  • Organisation type

    Research funding body

Focus areas

Sustainabilities

Technology areas

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