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GrogVix [38]
3 years ago
8

Suppose a force of 30 N is required to stretch and hold a spring 0.1 m from its equilibrium position. a. Assuming the spring obe

ys​ Hooke's law, find the spring constant k. b. How much work is required to compress the spring 0.3 m from its equilibrium​ position? c. How much work is required to stretch the spring 0.2 m from its equilibrium​ position? d. How much additional work is required to stretch the spring 0.1 m if it has already been stretched 0.1 m from its

Mathematics
2 answers:
AlexFokin [52]3 years ago
8 0

Answer:

a) k = 300\,\frac{N}{m}, b) \Delta U_{k} = 13.5\,J, c) \Delta U_{k} = 6\,J, d) \Delta U_{k} = 4.5\,J

Step-by-step explanation:

a) The spring constant is calculated by using this expression:

k = \frac{F}{x}

k = \frac{30\,N}{0.1\,m}

k = 300\,\frac{N}{m}

b) The work needed to compress the spring from its initial position is:

\Delta U_{k} = \frac{1}{2}\cdot k \cdot (x_{f}^{2}-x_{o}^{2})

\Delta U_{k} = \frac{1}{2}\cdot (300\,\frac{N}{m} )\cdot [(-0.3\,m)^{2}-(0\,m)^{2}]

\Delta U_{k} = 13.5\,J

c) The work needed to stretch the spring is:

\Delta U_{k} = \frac{1}{2}\cdot (300\,\frac{N}{m} )\cdot [(0.2\,m)^{2}-(0\,m)^{2}]

\Delta U_{k} = 6\,J

d) The work need to stretch the spring is:

\Delta U_{k} = \frac{1}{2}\cdot (300\,\frac{N}{m} )\cdot [(0.2\,m)^{2}-(0.1\,m)^{2}]

\Delta U_{k} = 4.5\,J

Gnom [1K]3 years ago
8 0

Step-by-step explanation:

Below is an attachment containing the solution

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Previous concepts

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Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

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We are interested on this probability

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And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>3.5)=P(\frac{X-\mu}{\sigma}>\frac{3.5-\mu}{\sigma})=P(Z>\frac{3.5-5}{1.2})=P(z>-1.25)

And we can find this probability using the complement rule:

P(z>-1.25)=1-P(z

Part b

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability uing the normal standard table:

P(z

Part c

P(3.5

And we can find this probability with this difference:

P(-1.25

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.25

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