Optimization of Road Repair and Construction Project

In summary, the problem involves finding the length of a new road in order to minimize the total cost of repairing and building a new road from Rochedale to Bells Creek. Using the chain rule, the derivative of the total cost equation is found to be 0 = 120 000√(x^2 - 25) - 96 000x. Solving for x results in x ≈ 8.333, which is the length of the new road. The total cost at this minimum point is $1 512 240.
  • #1
storm13
7
0

Homework Statement



Albany is 12km north of Rochedale. Bells Creek is 5km west of Albany. The road is to be repaired and repairs cost $96 000 per km. The cost of laying a new road is $120 000 per km.

It has been decided to repair the old road from Rochedale as far as point K, and then to build a new road from K to Bells Creek. Find the length of the new road such that the cost of the whole project is a minimum.


Homework Equations





The Attempt at a Solution



Let C = total cost
Let the distance from point K to Bells Creek = x
Let the distance from Rochedale to point K = y
Let the distance from point K to Albany = b

Thus the y can be written in terms of b using the 12km from the initial question.
y = 12 - b

C = 120000x + 96000y

Substitute y=12 - b into the equation

C = 120000x - 96000b + 1152000

Then there is a right angle triangle from point K to Albany to Bells Creek, with the hypotenuse being the new road and the variable x defined above.

Thus the side b (dsitance from point K to Albany) can be written in terms of x

b = √(x^2 - 25)

Then substitute the value for b into the total cost equation.

C = 120 000x - 96000(√(x^2 - 25)) + 1152000

Not really sure where to go from here. I have done lots of problems and understand the concept of finding the minimum or maximum by making the derivative equal to zero but am not sure how to go about either simplifying or deriving the middle term because of the square root sign.

Any help would be greatly appreciated.
 
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  • #2
are you stuck on taking the derivative of the eqn?

use the chain rule with u = (x^2 -5) so that du/dx = 2*u and for the term then --> 1/2* u^-3/2 * 2*u
 
  • #3
Well if i use the chain rule to differentiate i think this is what i get:

(for the middle part):

=1/2 . 96000(x^2 - 25)^-1/2 . (2x) [Note using (.) to mean multiplication]
=48000(x^2 - 25)^-1/2 . (2x)
= 96000x(x^2 - 25)^-1/2

So the derivative of the total coat is:

C' = 120 000 - 96000x(x^2 - 25)^-1/2

Then i make this equal to zero to solve for the minimum

0 = 120 000 - 96000x(x^2 - 25)^-1/2

120000 = 96000x(x^2 - 25)^-1/2
120/96 = x(x^2 - 25)^-1/2

This is where i get stuck i don't know how to solve the rest of it (this is assuming the part before is correct??)
 
  • #4
storm13 said:
0 = 120000 - 96000x(x^2 - 25)^-1/2
Assuming that this is correct, multiply both sides by √(x2 - 25):
[tex]0 = 120000\sqrt{x^2 - 25} - 96000x[/tex]
Isolate the square root, and then square both sides. I'll let you figure out the rest.
 
  • #5
Thank you for that help.

This is what i got for the rest.

0 = 120 000√(x^2 - 25) - 96 000x
96000x = 120 000√(x^2 - 25)
x = 1.25√(x^2 - 25)
x^2 = 1.5625(x^2 - 25)
x^2 = 1.5625x^2 - 39.0625
x^2 + 39.0625 = 1.5625x^2
39.0625 = 0.5625x^2
69.44 ≈ x^2
8.333 ≈ x

Is my working correct? I have checked the sign of the derivative before and after this x value and it is negative before and positive after so it appears to be a minimum.

Then to finish the problem,

b = √(8.3333^2) - 25
b =√44.44
b ≈ 6.66

thus y = 12 - 6.66
y = 5.34

C = (120000 x 8.33) + (96000 x 5.34)
C = 999600 + 512640
C = 1 512 240

Thus total cost at a minimum is $1 512 240.

Thank you both for replying. I appreciate it.
 
  • #6
storm13 said:
Thank you for that help.

This is what i got for the rest.

0 = 120 000√(x^2 - 25) - 96 000x
96000x = 120 000√(x^2 - 25)
x = 1.25√(x^2 - 25)
x^2 = 1.5625(x^2 - 25)
x^2 = 1.5625x^2 - 39.0625
x^2 + 39.0625 = 1.5625x^2
39.0625 = 0.5625x^2
69.44 ≈ x^2
8.333 ≈ x

Is my working correct?
Well, when take the square root of both sides, you should at first include both the positive and negative roots. So x ≈ ±8.333. But of course, x ≈ -8.333 is an extraneous solution for the equation 0 = 120000√(x^2 - 25) - 96000x, and x represents the distance from point K to Bells Creek, which can't be negative anyway.
 
  • #7
Thanks again. Appreciate it.
 

Related to Optimization of Road Repair and Construction Project

What is optimization and why is it important in scientific research?

Optimization is the process of finding the best possible solution for a given problem. In scientific research, optimization is important because it helps researchers find the most efficient and effective ways to solve complex problems and improve the accuracy and reliability of their results.

What are the different types of optimization techniques used in scientific research?

There are several types of optimization techniques used in scientific research, including gradient descent, genetic algorithms, simulated annealing, and particle swarm optimization. Each technique has its own advantages and is suitable for different types of problems.

How do scientists determine the optimal solution in optimization?

Scientists determine the optimal solution in optimization by using mathematical algorithms and computer simulations. They input the problem parameters and the optimization techniques, and the computer calculates the best possible solution based on the given constraints.

What are some challenges that scientists face in optimization?

Some common challenges that scientists face in optimization include determining the appropriate optimization techniques for a specific problem, dealing with complex and large datasets, and ensuring that the results are accurate and reliable.

What are some real-world applications of optimization in scientific research?

Optimization has a wide range of applications in scientific research, including but not limited to: finding the most efficient routes for transportation, optimizing chemical reactions in pharmaceutical research, designing efficient energy systems, and improving machine learning algorithms for data analysis.

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