Question 9.9: Solve the problem of Example 9.6 by the exponential window m...

Solve the problem of Example 9.6 by the exponential window method.

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The response is calculated over a total time of T_{0}=2.4 \mathrm{~s}. To obtain a we use

a=\frac{2 \ln 10}{T_{0}}=1.92

We select a=2 and apply exponential scaling to both g(t) and h(t)=(1 / m \omega) \sin \omega t. The scaled functions are shown in Figure E9.9. As expected, they die rapidly as t approaches T_{0}. The two functions are sampled at 0.1 \mathrm{~s}. Discrete Fourier transforms of the sampled functions, calculated by using a standard computer program, provide \hat{G}(\Omega) and \hat{H}(\Omega). Response \hat{u}(t) is obtained by taking the inverse discrete Fourier transform of the product of \hat{G}(\Omega) and \hat{H}(\Omega). The true

Table E9.9 Response obtained by exponential window method.

\begin{array}{lccc}k & t(\mathrm{~s}) & \begin{array}{l}u(k \Delta t)(\mathrm{in} .) \\\text { Equation 9.90 }\end{array} & \text { Exact response } \\\hline 0 & 0.0 & 0.0007 & 0.0000 \\1 & 0.1 & 0.0199 & 0.0194 \\2 & 0.2 & 0.0690 & 0.0700 \\3 & 0.3 & 0.1294 & 0.1326 \\4 & 0.4 & 0.1780 & 0.1833 \\5 & 0.5 & 0.1962 & 0.2026 \\6 & 0.6 & 0.1771 & 0.1833 \\7 & 0.7 & 0.1279 & 0.1326\\8 & 0.8 & 0.0675 & 0.0700 \\9 & 0.9 & 0.0190 & 0.0194 \\10 & 1.0 & 0.0007 & 0.0000 \\11 & 1.1 & 0.0199 & 0.0194 \\12 & 1.2 & 0.0690 & 0.0700 \\13 & 1.3 & 0.1294 & 0.1326 \\14 & 1.4 & 0.1780 & 0.1833 \\15 & 1.5 & 0.1962 & 0.2026 \\16 & 1.6 & 0.1772 & 0.1833 \\17 & 1.7 & 0.1095 & 0.1133 \\18 & 1.8 & 0.0000 & 0.0000 \\19 & 1.9 & -0.1095 & -0.1133 \\20 & 2.0 & -0.1772 & -0.1833 \\21 & 2.1 & -0.1772 & -0.1833 \\22 & 2.2 & -0.1095 & -0.1133 \\23 & 2.3 & -0.0000 & 0.0000 \\ \hline\end{array}

response u(t) is now recovered from \hat{u}(t) by using Equation 9.136.

u(t) = e^{at} \hat{u}(t) \qquad (9.136)

The computed displacements are compared with the exact values in Table E9.9; the match between the two is quite good.

e9.9

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