Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH)(2022)

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摘要
This paper presents the jerk dynamics of a racing greyhound running alone by simulating the centrifugal acceleration for different race scenarios and track path design options. Simulation parameters were defined from the real-world greyhound track designs and greyhound race data to provide relevant results for race conditions. Virtual race scenarios were created to achieve maximum results. By simulating greyhound strides as discrete events, the theoretical jerk was calculated. The results show how different track design conditions and race scenarios can affect greyhound dynamics for the track bends. This can be applied to better understand and improve track design for improved dynamics with a view to reduce the frequency and severity of injuries.
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关键词
Greyhound Racing, Greyhound Racing Jerk, Numerical Simulation, Injury Prevention, Animal Welfare
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