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High-Accuracy Piano-String Modeling

In [267,268], an extension of the mass-spring model of [394] was presented for the purpose of high-accuracy modeling of nonlinear piano strings struck by a hammer model such as described in §9.3.2. This section provides a brief overview.

Figure 9.25: Mass-spring model in 3D space.
\includegraphics[width=0.35\twidth]{eps/massspringmass}

Figure 9.25 shows a mass-spring model in 3D space. From Hooke's LawB.1.3), we have

$\displaystyle \vert\vert\,\underline{f}_1\,\vert\vert \eqsp k\cdot\vert l_1-l_0\vert \eqsp \vert\vert\,\underline{f}_1\,\vert\vert
$

where $ l_0$ denotes the rest-length of the spring $ k$ , and $ \vert\vert\,\underline{f}_i\,\vert\vert $ denotes the vector norm (length) of the 3D vector $ \underline{f}_i\in{\bf R}^3$ [454]. The vector equation of motion for mass 1 is given by Newton's second law $ f=ma$ :

\begin{eqnarray*}
m_1\, \underline{{\ddot x}}_1 \eqsp \underline{f}_1
&=& k\cdot\left(\left\Vert\,\underline{x}_2-\underline{x}_1\,\right\Vert-l_0\right)\cdot\frac{\underline{x}_2-\underline{x}_1}{\left\Vert\,\underline{x}_2-\underline{x}_1\,\right\Vert}\\ [5pt]
&=& k\left[1-\frac{l_0}{\left\Vert\,\underline{x}_2-\underline{x}_1\,\right\Vert}\right]\left(\underline{x}_2-\underline{x}_1\right)
\end{eqnarray*}

and similarly for mass 2, where $ \underline{x}_i\in{\bf R}^3$ is the vector position of mass $ i$ in 3D space.

Generalizing to a chain of masses and spring is shown in Fig.9.26. Mass-spring chains--also called beaded strings--have been analyzed in numerous textbooks (e.g., [297,321]), and numerical software simulation is described in [394].

Figure 9.26: Mass-spring string model
\includegraphics[width=0.8\twidth]{eps/massspringstring}

The force on the $ i$ th mass can be expressed as

$\displaystyle \underline{f}_i$ $\displaystyle =$ $\displaystyle \alpha_i\cdot\left(\underline{x}_{i+1}-\underline{x}_i\right) + \alpha_{i-1}\cdot\left(\underline{x}_{i-1}-\underline{x}_i\right)$  
  $\displaystyle =$ $\displaystyle \alpha_{i-1}\,\underline{x}_{i-1} - (\alpha_{i-1}+\alpha_i)\,\underline{x}_i + \alpha_i\,\underline{x}_{i+1}
\protect$ (10.34)

where

$\displaystyle \alpha_i \isdefs k\cdot \left[1-\frac{l_0}{\left\Vert\,\underline{x}_{i+1}-\underline{x}_i\,\right\Vert}\right].
$



Subsections
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``Physical Audio Signal Processing'', by Julius O. Smith III, W3K Publishing, 2010, ISBN 978-0-9745607-2-4.
Copyright © 2014-03-23 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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