• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Mechanics 2 Coursework - Ladders

Extracts from this document...


Mechanics 2 Coursework - Ladders Chapter 1: Aim and Assumptions The aim of this project is to find out whether theory used in the classroom can be applied to a real life situation with satisfactory predictions, and to test the validity of certain equations in a real life situation. Consider this: A man wishes to climb up a ladder of height l and wishes to know if it is safe. He would use the ladder situation we are able to solve in Mechanics 2, and, assuming there is no friction at the wall, he would be able to calculate the height up the ladder x that the ladder would give way. We wish to test whether this is possible. To do this we use a ruler of length 100cm and rest it against a smooth surface (in this case a whiteboard, which is firmly attached to the wall). ...read more.


This is less important than my other assumptions, because a small inaccuracy will not make difference to our value. We can see the way in which the model works below: First we place the ruler against a smooth wall (the white board) and then let it slide down in a straight line (so that all the forces involved are in the same plane, ensuring a 2d situation). We take 5 readings of each of these heights along the wall, and from these a value of ? can be calculated, enabling us to work out F and therefore �. If we assume equilibrium, the ladder's weight w combined with the weight of the person will balance with R (if we resolve forces vertically). By taking moments about the base, we find that S x sin? = (w+mg)cos?. We work out w by weighing the ruler, which turns out to be 72.2g. ...read more.


We can firstly predict R for all cases, because it does not have an x in its equation. By N2L, R=0.0722 + 9.81x0.2 = 2.03 The values of x I will measure are not uniform, because this shows that x does not have to be uniform to conform to the predictions made. I used values of 90cm, 75cm, 60cm, 40cm and 20cm. To predict the value of ? at which the ruler will slip, I can put these values for x into the previous equations: x=0.2, R= 2.03 Moments about base, 1*Ssin? = (0.0722*0.5+9.81*0.2*0.2)cos? S = F = �R = 0.4*2.03 = 0.812 sin?/cos? = (0.0722*0.5+9.81*0.2*0.2)/1*0.812 = 0.528 tan?=1/0.528 ?=62.17 The value for z from this value of ? comes to 0.884. The others are as follows: x ? z 0.2 62.17 0.884 0.4 44.68 0.703 0.6 33.79 0.556 0.75 28.30 0.474 0.9 24.26 ?? ?? ?? ?? Alex Hayton Mechanics 2 Coursework - Page 1 of 1 Ladders ...read more.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related GCSE Height and Weight of Pupils and other Mayfield High School investigations essays

  1. Investigating the falling of paper cake cases.

    doing the experiment and it made a big difference to my results. Problems encountered * When two people were doing the experiment, trying to get the same results both times was difficult. This affected out results because the readings were widely spaced out and this is incorrect.

  2. GCSE Physics Coursework

    set up in the same way but the independent variables are different. In my preliminary course work the independent variable was the distance the weight of a load was hung and the control was the weight of the load. However in this second coursework the independent variable is the weight

  1. Statistics coursework Edexcell

    16?X<18 17 4 8 18?X<20 19 2 10 20?X<22 21 2 12 22?X<24 23 3 15 24?X<26 25 1 16 26?X<28 27 0 16 Table 25 Year eight girls BMI Midpoint Frequency Cumulative Frequency 12?X<14 13 0 0 14?X<16 15 0 0 16?X<18 17 6 6 18?X<20 19 5 11

  2. Statistics Coursework

    * The five aforementioned figures in the analysis of the heights also show similar patterns in the data for the weights - with the male data proving larger for each of the figures. This data supports my second sub-hypothesis, as it shows that on average males weigh more than females.

  1. Mayfield Maths Coursework

    it would become unrepresentative if I ended up with a sample of 30 10 year olds and no other pupils from any other age group. Even though you have to be careful when using this method it is quicker than random sampling.

  2. maths statistics coursework

    me to see if there is any correlation present, between the weight and height of year 10 and 11 pupils. Furthermore, I will be able to detect any possible outliers that, might affect my data and influence its dependability, when checking the trustworthiness of my hypothesis.

  1. Maths Stats coursework

    Mia 14 17 Rogers Jade 14 18 Gorst Francesca 15 19 Taylor Jenifer 16 20 Gannon Natalie 17 21 Allan Charlotte 21 22 Butterworth Jessica 24 23 UQ-24.5 Barker Lucy 26 24 Knights Melissa 27 25 Merrywest Alice 27 26 Finney Charlotte 29 27 Mutty Tamsin 29 28 Wilson Kelly

  2. Data handling coursework

    cm 21 cm 21 cm 19 cm 18.5 cm 20.5 cm 17.5 cm 20.5 cm 20 cm 21 cm 17.3 cm 20.5 cm 19 cm 20 cm 17.5 cm 20.8 cm 19 cm 18 cm 17 cm 20 cm 19.1 cm 18 cm 19 cm 19 cm 18 cm 18

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work