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A circular racetrack of radius 300 m is ...

A circular racetrack of radius 300 m is banked at an angle of `15^(@)` If the coefficient of friction between the wheels of a race car and the road is 0.2 what is the (a) optimum speed of the race car to avoid wear and tear on its tyres , and (b) maximum permissible speed to aviod slipping ?

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To solve the problem, we need to determine two things: (a) the optimum speed of the race car to avoid wear and tear on its tires, and (b) the maximum permissible speed to avoid slipping. ### Given Data: - Radius of the racetrack, \( r = 300 \, \text{m} \) - Angle of banking, \( \theta = 15^\circ \) - Coefficient of friction, \( \mu = 0.2 \) ### (a) Optimum Speed Calculation ...
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A circular race track of radius 400 m is banked at an angle of 10^(@) . If the coefficient of friction between the wheels of a race car and the road is 0.2 , what is the (i) optimum speed of the race car to aviod wear and tear on its tyres . maximum permissible speed to aviod slipping ?

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Knowledge Check

  • A car is negotiating a curved road of radius R. The road is banked at an angle theta . The coefficient of friction between the tyres of the car and the road is mu_s . The maximum safe velocity on this road is

    A
    `sqrt((g)/(R )( (mu_s + tan theta))/(R (1- mu_s tan theta))`
    B
    `sqrt((g)/(R^2)((mu _s + tan theta))/((1- mu_s tan theta))`
    C
    `gR^2 ((mu_s + tan theta))/((1- mu_s tan theta))`
    D
    `sqrt(gR ((mu_s + tan theta))/((1- mu_s tan theta))`
  • A circular road of radius 1000 m has banking angle 45^@ . IF the coefficient of friction is between tyre and road is 0.5, then the maximum safe speed of a car having mass 2000 kg will be

    A
    172`m//s`
    B
    124`m//s`
    C
    99`m//s`
    D
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  • A car is negotiating a curved road of radius R. The road is banked at an angle theta . The coefficient of friction between the tyres of the car and the road is mu_(s) , The maximum safe velocity on this road is:

    A
    `sqrt(gR^(2) (mu_(s) + tan theta)/(1-mu_(s)tan theta))`
    B
    `sqrt(gR(mu_(s) + tan theta)(1-mu_(s) tan theta))`
    C
    `sqrt(g/R (mu_(s) + tan theta)/(1-mu_(s) tan theta))`
    D
    `sqrt(g/R^(2) (mu_(s) + tan theta)/(1 - mu_(s) tan theta))`
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