Assignment 2014-15 AdEng Math 2(2).docx

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HNC/D Business and Management

                                                                                                                                         Aras Ibrahim

Module Leader: Geoff Grenyer                                                                                Student Number: 100303438

Module code:  5HX500                                                                                                                       BEng (Hons) Civil and Infrastructure Engineering

 

 

                                                                     College of Engineering and Technology

                                                                                                  Department of Engineering

 

 

 

Programme Title(s):              BEng (Hons) Civil and Infrastructure Engineering

 

Programme Code(s):                            H292

 

Module Title:              Advanced Engineering Mathematics 2

 

Module Code:                                          5HX500

 

Module Leader:                                          Geoff Grenyer

 

Lecturer:                                                        Geoff Grenyer

 

 

Assignment No:                                          ONE 

 

 

Assessment tasks

 

1.     20% the depth of a river flowing in a rectangular channel 5m. Wide is measured over a period of 11 hours following a storm. The tables show depth of the river in mm.

 

Time T hours

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

5.5

Depth D mm

325

330

330

326

326

330

320

345

393

420

451

490

 

Time T hours

6

6.5

7

7.5

8

8.5

9

9.5

10

10.5

11

 

Depth D mm

532

582

600

626

633

637

645

641

645

637

637

 

 

a)     Using excel plot a graph of this data, state the function representing the 5th order polynomial line of best fit and show this on the graph. (For accuracy the line of best fit constants should be expressed to 6 decimal places).

 

 

b)     Comment on the differences between the actual data and the line of best fit function including largest differences.

The purpose of plotting the line of best fit is to simply spot the errors of data on the graph and the accuracy of the line or curve will be affected by order of the function. When increasing the order of the line of best fit reduces the error created from actual data. Therefore there will be a very small error, when setting line of best fit with an order of 5. depending on the correlation of the data. Furthermore, increasing the amount of decimal places of the coefficients increases the accuracy. As well as this, the data points seem to be equally above and below the line of best fit, thus further decreasing the error. The correlation coefficient (R2) is very close to 1, therefore proving the accuracy between the actual data and the line of best fit.

 

c)     Differentiate the best fit function and find the rate (mm/hour) at which the water is rising after 4.5 hours

d)    Determine the maximum river depth suggested by the best fit function and the time at which this occurs and compare these values with the information suggested by the data.

e)     Integrate the best fit function between 1 and 11 hours to give an area (A) and multiply by the channel width (W) and velocity (V) (assumed to be 1m/s) to give the volume of water flowing in the 11 hour period. State the answer in cubic metres. Volume = A x W X V

f)       Find the area under the actual data line using Simpson’s rule and use this to determine the volume of water flowing as above.

g)     Comment of the accuracy the volume calculation using the best fit model when compared to the volume using the actual data.


2.   20% a ready mixed concrete supplier has 2 batching plants P and Q being supplied by 3 quarries A, B and C.

Quarry capacities and plant requirements together with distances between quarries and plants.

 

 

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