Introduction to Elasticity/Constitutive example 5

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[edit] Example 5

Given:

An isotropic material with Young's modulus E and Poisson's ration ν.

Find:

The compliance matrix of the material in terms of the Young's modulus and Poisson's ratio.

[edit] Solution

The strain is related to the stress via the compliance matrix by the equation


   \begin{bmatrix} 
     \varepsilon_1 \\ \varepsilon_2 \\ \varepsilon_3 \\ \varepsilon_4 \\
     \varepsilon_5 \\ \varepsilon_6 
   \end{bmatrix} 
   = 
   \begin{bmatrix} 
          S_{11} & S_{12} & S_{13} & S_{14} & S_{15} & S_{16} \\
          S_{21} & S_{22} & S_{23} & S_{24} & S_{25} & S_{26} \\
          S_{31} & S_{32} & S_{33} & S_{34} & S_{35} & S_{36} \\
          S_{41} & S_{42} & S_{43} & S_{44} & S_{45} & S_{46} \\
          S_{51} & S_{52} & S_{53} & S_{54} & S_{55} & S_{56} \\
          S_{61} & S_{62} & S_{63} & S_{64} & S_{65} & S_{66} 
   \end{bmatrix}
   \begin{bmatrix} 
     \sigma_1 \\ \sigma_2 \\ \sigma_3 \\ \sigma_4 \\ \sigma_5 \\ \sigma_6 
   \end{bmatrix}

For an isotropic material


   \varepsilon_{ij} = \frac{1}{E}
     \left[(1+\nu)\sigma_{ij} - \nu\sigma_{kk}\delta_{ij}\right]

Therefore,

\begin{align}
   \varepsilon_{11} & = \frac{1}{E}
     \left[\sigma_{11} - \nu\sigma_{22} - \nu\sigma_{33}\right] \\
   \varepsilon_{22} & = \frac{1}{E}
     \left[\sigma_{22} - \nu\sigma_{11} - \nu\sigma_{33}\right] \\
   \varepsilon_{33} & = \frac{1}{E}
     \left[\sigma_{33} - \nu\sigma_{11} - \nu\sigma_{22}\right] \\
   \varepsilon_{23} & = \frac{1}{E} \left[(1+\nu)\sigma_{23}\right] \\
   \varepsilon_{31} & = \frac{1}{E} \left[(1+\nu)\sigma_{31}\right] \\
   \varepsilon_{12} & = \frac{1}{E} \left[(1+\nu)\sigma_{12}\right] 
\end{align}

In engineering notation,

\begin{align}
   \varepsilon_{1} & = \frac{1}{E}
     \left[\sigma_{1} - \nu\sigma_{2} - \nu\sigma_{3}\right] \\
   \varepsilon_{2} & = \frac{1}{E}
     \left[\sigma_{2} - \nu\sigma_{1} - \nu\sigma_{3}\right] \\
   \varepsilon_{3} & = \frac{1}{E}
     \left[\sigma_{3} - \nu\sigma_{1} - \nu\sigma_{2}\right] \\
   \varepsilon_{4} & = \frac{1}{E} \left[2(1+\nu)\sigma_{4}\right] \\
   \varepsilon_{5} & = \frac{1}{E} \left[2(1+\nu)\sigma_{5}\right] \\
   \varepsilon_{6} & = \frac{1}{E} \left[2(1+\nu)\sigma_{6}\right] 
\end{align}

Converting into matrix notation,


   \begin{bmatrix} 
     \varepsilon_1 \\ \varepsilon_2 \\ \varepsilon_3 \\ \varepsilon_4 \\
     \varepsilon_5 \\ \varepsilon_6 
   \end{bmatrix} 
   = \frac{1}{E}
   \begin{bmatrix} 
          1 & -\nu & -\nu & 0 & 0 & 0 \\
          -\nu & 1 & -\nu & 0 & 0 & 0 \\
          -\nu & -\nu & 1 & 0 & 0 & 0 \\
          0 & 0 & 0 & 2(1+\nu) & 0 & 0 \\
          0 & 0 & 0 & 0 & 2(1+\nu) & 0 \\
          0 & 0 & 0 & 0 & 0 & 2(1+\nu) 
   \end{bmatrix}
   \begin{bmatrix} 
     \sigma_1 \\ \sigma_2 \\ \sigma_3 \\ \sigma_4 \\ \sigma_5 \\ \sigma_6 
   \end{bmatrix}

We may also write the above equation as


   \begin{bmatrix} 
     \varepsilon_1 \\ \varepsilon_2 \\ \varepsilon_3 \\ \varepsilon_4 \\
     \varepsilon_5 \\ \varepsilon_6 
   \end{bmatrix} 
   = 
   \begin{bmatrix} 
          1/E & -\nu/E & -\nu/E & 0 & 0 & 0 \\
          -\nu/E & 1/E & -\nu/E & 0 & 0 & 0 \\
          -\nu/E & -\nu/E & 1/E & 0 & 0 & 0 \\
          0 & 0 & 0 & 1/\mu & 0 & 0 \\
          0 & 0 & 0 & 0 & 1/\mu & 0 \\
          0 & 0 & 0 & 0 & 0 & 1/\mu 
   \end{bmatrix}
   \begin{bmatrix} 
     \sigma_1 \\ \sigma_2 \\ \sigma_3 \\ \sigma_4 \\ \sigma_5 \\ \sigma_6 
   \end{bmatrix}

where μ is the shear modulus.