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Articles by M. Bailey
Total Records ( 3 ) for M. Bailey
  P Cangley , L Passfield , H Carter and M. Bailey

Modelling has been utilised in competitive road cycling to identify performance optimisations that would conventionally require extensive experimental testing. However, the validity of current models is limited by incomplete representation of the cycling environment and insufficient frequency of simulation. A three dimensional road cycling model has been developed that extends existing models by combining bicycle mechanics, rider biomechanics and environmental conditions into a single dynamic system. A system of rigid bodies linked by joints and driven by actuators has been built using the MATLAB toolboxes Simulink and SimMechanics. Each body is defined in respect of mass, inertia tensor, dimension and centre of gravity. The system operates in forward dynamics mode such that a simulation inputs forces to the equations of motion which are numerically integrated at <0.1 s time steps and output system motion. Bicycle freedoms include longitudinal/lateral translation together with roll, pitch and yaw rotation. Submodels reproduce transmission, tires, wheels, frame and steering geometry. A 16 segment rider applies experimentally obtained pedal forces coordinated with upper body roll and steering input. Environmental parameters include course track and gradient obtained from digital maps together with experimentally measured wind speed/direction. The model has been validated in a trial with 20 experienced time trialists riding a 2.5 mile undulating section of the Cycling Time Trials course G10/42 at competitive pace. The course track/profile and the cyclist characteristics were loaded into the model and a simulation predicted individual completion times. Mean actual time was within 1.4 (±0.7)% of the mean predicted time. The model was then used to optimise application of a variable power pacing strategy over the same course1. A 2.9 (±0.9)% time saving was obtained which would typically represent a 40 s advantage over a full 10 mile time trial. Further model applications include investigating the mechanical performance advantages of factors that are both difficult and time consuming to examine experimentally such as saddle position, bicycle/rider weight and tire characteristics.

  M. Bailey , J.P. Sephton and P.H.G. Sharpe
  The dose rate distribution in a MDS Nordion JS7500 60Co industrial irradiation plant has been calculated using the egspp Monte Carlo code. This code is a development of the established EGSnrc code developed and distributed by National Research Council of Canada.

The coding method is described and absolute dose rates given for each of the dwell positions in the path through the irradiator. These calculated dose rates have been compared with measurements made using a radiation resistant electronic dosimetry system. In addition, the integral dose derived from calculated and measured dose rates has been compared to the value obtained using chemical dosimeters.

  P.H.G. Sharpe , A. Miller , J.P. Sephton , C.A. Gouldstone , M. Bailey and J. Helt-Hansen
  Published data on the effect of irradiation temperature on the response of alanine dosimeters does not extend to the temperatures that may be experienced in high-dose industrial irradiations, particularly in the case of electron beams. We describe here results of the irradiation of alanine dosimeters at temperatures up to 80 °C and doses up to 70 kGy. Data have been obtained for both 60Co and electron beam irradiations and the effect of temperature on the stability of the radiation-induced signal has also been investigated. At temperatures above 50 °C the irradiation temperature coefficient begins to deviate significantly from linearity and shows marked dose dependence. The effect of this behaviour under conditions typically experienced in industrial processing is evaluated and recommendations made concerning the use of alanine dosimeters at high doses and temperatures.
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