Calculate the bulk modulus and Derive the mean standard deviation

In summary, we calculated the bulk modulus and shear modulus of a material with given values of Young's modulus and Poisson's ratio. We also determined the sample standard deviation of test results and converted it to GPa.
  • #1
Tiberious
73
3
(apologies for re-posting, I am unable to find my original thread.) A material which has a Young's modulus of elasticity of 250 GN m-2 and a poisons ratio of 0.32, calculate:

(a) the bulk modulus of the material 


Relevant equation,
K=E/3(1-2v)
Inputting our known values,
K=250/3(1-2(0.32))
Answer:
= 231.48 Gpa
(b) the shear modulus of the material. 

Relevant equation,
G=E/2(1-v)
Inputting our known values,
G=250/2(1+(0.32))
Answer:
= 94.6^.9^. Gpa ≈94.7 GpaThe ultimate tensile strength of a material was tested using 10 samples. The results of the tests were as follows. (a) Determine the mean standard deviation of these results.
(b) Express the values found in (a) in GPa.

As we are referring to a 'sample' we apply the below formula for Standard Deviation:

s= √(1/(N-1) ∑_(i=1)^N▒(x_i-x ̅ )^2 )

Calculating the mean value x ̅

(711 + 732 +759+670+701 +765 +743+755 +715 +713)/10

x ̅= 726.4 〖N mm〗^(-2)
Determining the (x_i-x ̅)^2

(711-726.4 )^2= 237.16
(732-726.4 )^2= 31.36
(759-726.4 )^2= 1062.76
(670-726.4 )^2= 3180.95
(701-726.4 )^2= 645.16
(765-726.4 )^2= 1489.96
(743-726.4 )^2= 275.56
(755-726.4 )^2= 817.96
(715-726.4 )^2= 129.96
(713-726.4 )^2= 179.56

Determining the sum of the above

∑▒237.16+31.36 +1062.76 +3180.95 +645.16 +1489.96 +275.56 +817.96 +129.96 +179.56

= 8,050.39 〖N mm〗^(-2)

Divide by N-1

(1/9)∙8050.39= 894.487 N 〖mm〗^(-2) ~ 894.5 N 〖mm〗^(-2)Determining the sample standard deviation σ

σ= √((894.487))=29.90 N 〖mm〗^(-2)=0.0299 MPa

0.0299 MPa=2.99∙〖10〗^(-5) GPa
 
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  • #2
I get a Newton per square mm equal to 1 megaPascal or 0.001 GPa
 
  • #3
Which part do you attain the 0.001 Gap in ? Also, would you be able to point out in which part of the above I have gone wrong. Evidentally there must be a fatal flaw as the answers are so different to what you have calculated.
 
  • #4
I was just stating the equivalent units. there are 1000 mm in a meter, so 1 million square mm in a square meter. If there is 1 Newton per mm2, then there is 1 million Newton's per m2, which is 1 million Pascals, or 0.001 GigaPascals. For example 29 N(mm)^-2 is equal to 29 MPa. You may want to reference SI prefixes .
Here is one link that I like. https://www. unc. edu/~rowlett/units/prefixes.html
(revised link here - http://www.ibiblio.org/units/prefixes.html )
 
Last edited:
  • #6
So, this should be correct.

Determining the sample standard deviation σ

σ= √((894.487))=29.90 N 〖mm〗^(-2)=29.90 MPa

Express the values found in (a) in GPa.

29.9 MPa=0.0299 GPa
 

1. What is bulk modulus and how is it calculated?

Bulk modulus is a measure of a material's resistance to compression under applied pressure. It is calculated by dividing the change in pressure by the change in volume.

2. Can you provide an example of calculating bulk modulus?

Sure, let's say we have a material with an initial volume of 100 cubic meters and a final volume of 90 cubic meters under an applied pressure of 1000 Pascals. The change in pressure would be 1000 Pascals and the change in volume would be 10 cubic meters. Therefore, the bulk modulus would be 1000/10 = 100 Pascals per cubic meter (Pa/m3).

3. What is the significance of bulk modulus in materials science?

Bulk modulus is an important property in materials science as it helps determine a material's elasticity and ability to withstand stress and strain. It is also used in the design and testing of materials for various applications, such as in construction and engineering.

4. How is mean standard deviation derived?

Mean standard deviation is derived by first calculating the mean or average of a set of data points. Then, the difference between each data point and the mean is squared and summed. This sum is divided by the total number of data points and the square root is taken to obtain the standard deviation.

5. Can you give an example of calculating mean standard deviation?

Sure, let's say we have a set of data points: 5, 7, 9, 11, 13. The mean would be (5+7+9+11+13)/5 = 9. The difference between each data point and the mean would be -4, -2, 0, 2, 4. Squaring these differences gives 16, 4, 0, 4, 16. Adding them up gives 40. Dividing by the total number of data points (5) gives 8. Taking the square root of 8 gives a mean standard deviation of 2.83.

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