Difference between revisions of "EGR 103/Fall 2019/Minilab 3"

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== References / Hints ==
 
* Problem 2.5.1
 
* Problem 2.5.1
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** To load data froman Excel file with headers:
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** To load data from an Excel file with headers:
 
::<syntaxhighlight lang=python>
 
::<syntaxhighlight lang=python>
 
import pandas
 
import pandas
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* Problem 2.5.4
 
* Problem 2.5.4
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** [https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.semilogx.html ] at [https://matplotlib.org matplotlib.org]
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** [https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.semilogx.html matplotlib.pyplot.semilogx] at [https://matplotlib.org matplotlib.org]
 
** [[Python:Extrema]]
 
** [[Python:Extrema]]
 
** [[Python:Finding roots]]
 
** [[Python:Finding roots]]
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== Partial Solutions ==
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* Problem 2.5.1
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** Biggest difference happens at about $$x=30$$.
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** Estimates of $$f(50)$$ are 0.471 and 0.521 for natural and not-a-knot, respectively.
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* Problem 2.5.2
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** Total force is about 4e9; LOA is in the high 20s.
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* Problem 2.5.3
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** Exact answer is 1104.
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** Simps is always better than trapz except for $$n=2$$, where they are the same.
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** After about $$n=1$$ the true percent error goes to almost 0 based on scale of the graph.
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* Problem 2.5.4
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** The plot looks like someone started drawing a duck from the back of the neck over the head and out to the end of the bill, then stopped.
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** The maximum value on the graph is about 6.
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** The maximum value of the absolute value of the transfer function is about 2.  Note that $$20\log_{10}(2)=6.02$$, which explains why the max of the graph is where it is.
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** The cutoff frequencies are at approximately 10 and 1450.

Revision as of 03:21, 3 December 2019

References / Hints

  • Problem 2.5.1
    • To load data from an Excel file with headers:
import pandas
 
# %% Load data
edata = pandas.read_excel("file.xlsx")
col_1_stuff = edata.values[:, 0].copy()
col_2_stuff = edata.values[:, 1].copy()
  • Problem 2.5.2
    • scipy.integrate.simps at docs.scipy.org
    • Note that the denominator in the line of action calculation is $$f_t$$, which you already calculated.
    • If you want to see a graph of the cross section (i.e. Figure 19.9(b)), assuming you call the height above the bottom $$z$$ and the width at that height $$wz$$, you can add the following code:
fig = plt.figure(num=1, clear=True)
ax = fig.add_subplot(1, 1, 1)
zval = np.block([z[::-1], z[:]])
wval = np.block([-wz[::-1] / 2, wz[:] / 2])
ax.plot(wval, zval, "k-")
ax.axis("equal")

Partial Solutions

  • Problem 2.5.1
    • Biggest difference happens at about $$x=30$$.
    • Estimates of $$f(50)$$ are 0.471 and 0.521 for natural and not-a-knot, respectively.
  • Problem 2.5.2
    • Total force is about 4e9; LOA is in the high 20s.
  • Problem 2.5.3
    • Exact answer is 1104.
    • Simps is always better than trapz except for $$n=2$$, where they are the same.
    • After about $$n=1$$ the true percent error goes to almost 0 based on scale of the graph.
  • Problem 2.5.4
    • The plot looks like someone started drawing a duck from the back of the neck over the head and out to the end of the bill, then stopped.
    • The maximum value on the graph is about 6.
    • The maximum value of the absolute value of the transfer function is about 2. Note that $$20\log_{10}(2)=6.02$$, which explains why the max of the graph is where it is.
    • The cutoff frequencies are at approximately 10 and 1450.
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