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19.2.1 Kelvin Chain Model

The creep function can be written as a Dirichlet series

J(t,$\displaystyle \tau$) = $\displaystyle \sum_{{\alpha=0}}^{{n}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$$\displaystyle \left(\vphantom{ 1- e^{- \frac{t-\tau}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1- e^{- \frac{t-\tau}{\lambda_{\alpha}}} }\right)$ (19.15)

E$\scriptstyle \alpha$($ \tau$) indicates that the stiffness of the model can be time dependent, for instance due to temperature or maturity influence. Physically the Dirichlet series can be interpreted as a Kelvin Chain model [Fig.19.2].
Figure 19.2: Kelvin Chain
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The stiffness and viscosity of the spring and damper in each part of the Kelvin Chain determine the retardation time $ \lambda_{{\alpha}}^{}$ :

$\displaystyle \lambda_{{\alpha}}^{}$ = $\displaystyle {\frac{{\eta_{\alpha}}}{{E_{\alpha}}}}$ (19.16)

Substitution of (19.15) into (19.13) and (19.14) yields

$\displaystyle {\frac{{1}}{{\tilde{E}(t^{*})}}}$ = $\displaystyle {\frac{{1}}{{\Delta t}}}$$\displaystyle \sum_{{\alpha=0}}^{{n}}$$\displaystyle \int_{{t}}^{{t+\Delta t}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$$\displaystyle \left(\vphantom{ 1- e^{- \frac{t+\Delta t-\tau}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{t+\Delta t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1- e^{- \frac{t+\Delta t-\tau}{\lambda_{\alpha}}} }\right)$ d$\displaystyle \tau$ (19.17)

and

$\displaystyle \tilde{{\boldsymbol{\sigma}}}$(t) = - $\displaystyle \tilde{{E}}$(t*)$\displaystyle \sum_{{\alpha=0}}^{{n}}$$\displaystyle \int_{{0}}^{{t}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$$\displaystyle \left(\vphantom{ 1 - e^{-\frac{\Delta t}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{\Delta t}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1 - e^{-\frac{\Delta t}{\lambda_{\alpha}}} }\right)$e-$\scriptstyle {\frac{{t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \dot{{\boldsymbol{\sigma}}}$($\displaystyle \tau$) d$\displaystyle \tau$ (19.18)

If we take for E$\scriptstyle \alpha$($ \tau$) the value at time t* we can integrate the remaining part of the integrals analytically.

$\displaystyle {\frac{{1}}{{\tilde{E}(t^{*})}}}$ = $\displaystyle \sum_{{\alpha=0}}^{{n}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(t^{*})}}}$$\displaystyle \left(\vphantom{ 1 - \frac{\lambda_{\alpha}}{\Delta t} \left( 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} \right) }\right.$1 - $\displaystyle {\frac{{\lambda_{\alpha}}}{{\Delta t}}}$$\displaystyle \left(\vphantom{ 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{\Delta t}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} }\right)$$\displaystyle \left.\vphantom{ 1 - \frac{\lambda_{\alpha}}{\Delta t} \left( 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} \right) }\right)$ (19.19)

and

$\displaystyle \tilde{{\boldsymbol{\sigma}}}$(t) = - $\displaystyle \tilde{{E}}$(t*)$\displaystyle \sum_{{\alpha=0}}^{{n}}$$\displaystyle \left(\vphantom{ 1 - e^{-\frac{\Delta t}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{\Delta t}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1 - e^{-\frac{\Delta t}{\lambda_{\alpha}}} }\right)$$\displaystyle \tilde{{\boldsymbol{\varepsilon}}}_{{\alpha}}^{}$(t) (19.20)

with

$\displaystyle \tilde{{\boldsymbol{\varepsilon}}}_{{\alpha}}^{}$(t) = $\displaystyle \int_{{0}}^{{t}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$e-$\scriptstyle {\frac{{t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \dot{{\boldsymbol{\sigma}}}$($\displaystyle \tau$) d$\displaystyle \tau$ (19.21)

The value of $ \tilde{{\boldsymbol{\varepsilon}}}_{{\alpha}}^{}$(t) is fully determined at the start of the increment (time t ). To find the value at the start of the next increment we write

$\displaystyle \tilde{{\boldsymbol{\varepsilon}}}_{{\alpha}}^{}$(t + $\displaystyle \Delta$t) = $\displaystyle \int_{{0}}^{{t}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$e-$\scriptstyle {\frac{{t+\Delta t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \dot{{\boldsymbol{\sigma}}}$($\displaystyle \tau$) d$\displaystyle \tau$ + $\displaystyle \int_{{t}}^{{t+\Delta t}}$$\displaystyle {\frac{{1}}{{E_{\alpha}(\tau)}}}$e-$\scriptstyle {\frac{{t+\Delta t-\tau}}{{\lambda_{\alpha}}}}$$\displaystyle \dot{{\boldsymbol{\sigma}}}$($\displaystyle \tau$) d$\displaystyle \tau$
  $\displaystyle \approx$ e-$\scriptstyle {\frac{{\Delta t}}{{\lambda_{\alpha}}}}$$\displaystyle \tilde{{\boldsymbol{\varepsilon}}}_{{\alpha}}^{}$(t) + $\displaystyle {\frac{{\lambda_{\alpha} \Delta \boldsymbol{\sigma}}}{{E_{\alpha}(t^{*})\Delta t}}}$$\displaystyle \left(\vphantom{ 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} }\right.$1 - e-$\scriptstyle {\frac{{\Delta t}}{{\lambda_{\alpha}}}}$$\displaystyle \left.\vphantom{ 1 - e^{- \frac{\Delta t}{\lambda_{\alpha}}} }\right)$ (19.22)


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