Concavity and the 2nd Derivative Test: Finding Maximum Deflection

In summary: Therefore, the value of x that yields the maximum deflection is approximately 0.578L. In summary, the problem at hand involves finding the maximum deflection of a beam using the equation D=2x^4-5Lx^3+3L^2x^2, with x representing the distance from one end of the beam. By computing the first and second derivatives, it is determined that the value of x that yields the maximum deflection is approximately 0.578L.
  • #1
karush
Gold Member
MHB
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this is a problem in the topic of Concavity and the second Derivative Test

The deflection \(\displaystyle D\) of a beam of length \(\displaystyle L\) is

\(\displaystyle D=2x^4-5Lx^3+3L^2x^2\),

where \(\displaystyle x\) is the distance from one end of the beam.

Find the value of \(\displaystyle x\) that yields the maximum deflection

The answer to this is \(\displaystyle x=\Bigg(\frac{15-\sqrt{33}}{16}\Bigg)L \approx 0.578L\)

well first of all this equation has 2 variables in x and L so not sure what to do perhaps implicit differentiation. also the answer looks it came from a quadratic formula

so not to sure what the first step is.
 
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  • #2
Re: beam deflection

The length of the beam $L$ is a constant.

So what you want to do is compute $D'(x)$ to determine the critical values in the range:

\(\displaystyle [0,L]\)

and then evaluate $D''(x)$ at these critical values, looking for negative values, i.e., concave down, and hence a maximum.

Can you proceed?
 
  • #3
Re: beam deflection

L is not a variable its a constant as length is constant and hence you can go for first derivative which is equal to slope.it is maximum when tangent comes parallel to x-axis so = '0' and proceed, you might have mistook L as variable
 
  • #4
Re: beam deflection

\(\displaystyle D'=8x^3-15Lx^2+6L^2x\)
\(\displaystyle =x(8x^2-15Lx+6)=0\)

so \(\displaystyle x=0\)
or \(\displaystyle \frac{15L\pm \sqrt{33}L}{16}\)
\(\displaystyle =\left(\frac{15 \pm \sqrt{33}}{16}\right) L\)
\(\displaystyle =0.5784L\) or \(\displaystyle 1.2965L\)

so \(\displaystyle D'' = 24x^2-30Lx+6L^2\)

\(\displaystyle D''(0.5784L)>0 \) so max is \(\displaystyle 0.5784L\)
 
  • #5
Yes, good work! (Yes)

You can discard the critical value that is greater than $L$, since this is outside the relevant domain of \(\displaystyle x\in[0,L]\).
 

Related to Concavity and the 2nd Derivative Test: Finding Maximum Deflection

What is a concave function?

A concave function is a function where the graph curves downward, resembling the shape of a cup or a bowl. This means that the function is decreasing at an increasing rate, or in other words, the slope of the function is decreasing.

What is the second derivative test?

The second derivative test is a method used to determine whether a critical point of a function is a local maximum or minimum. It involves evaluating the second derivative of the function at the critical point. If the second derivative is positive, the critical point is a local minimum, and if it is negative, the critical point is a local maximum.

How do you find the second derivative of a function?

To find the second derivative of a function, you first need to find the first derivative of the function. Then, you take the derivative of the first derivative. In other words, you apply the derivative operator twice to the original function. This will give you the second derivative of the function.

What is the significance of the second derivative in determining concavity?

The second derivative is significant in determining concavity because it tells us the rate at which the slope of the function is changing. A positive second derivative indicates that the slope is increasing, meaning the function is concave up. Conversely, a negative second derivative indicates a decreasing slope, meaning the function is concave down.

How can the 2nd derivative test be used to find maximum deflection in a physical system?

The 2nd derivative test can be used to find the maximum deflection in a physical system by modeling the system as a function and finding its second derivative. The critical points of the function can then be evaluated using the second derivative test to determine if they correspond to a maximum deflection point. This can help engineers and scientists design and optimize physical systems to withstand maximum deflection without breaking or malfunctioning.

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