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source/user/manual/analysis/transient/index.rst

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@@ -15,88 +15,88 @@ Transient Analysis
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TRBDF2
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..
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Theory
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------
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Theory
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------
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In a nonlinear transient finite element analysis we seek a solution
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(:math:`\boldsymbol{u}`, :math:`\dot{\boldsymbol{u}}`,
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:math:`\ddot{\boldsymbol{u}}`) to the nonlinear residual equation
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In a nonlinear transient finite element analysis we seek a solution
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(:math:`\boldsymbol{u}`, :math:`\dot{\boldsymbol{u}}`,
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:math:`\ddot{\boldsymbol{u}}`) to the nonlinear residual equation
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.. math::
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\boldsymbol{r}({\boldsymbol{u}},\dot{\boldsymbol{u}}, \ddot{\boldsymbol{u}}) = \boldsymbol{p}_f(t) - \boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}, \dot{\boldsymbol{u}}) = \boldsymbol{0}
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.. math::
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\boldsymbol{r}({\boldsymbol{u}},\dot{\boldsymbol{u}}, \ddot{\boldsymbol{u}}) = \boldsymbol{p}_f(t) - \boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}, \dot{\boldsymbol{u}}) = \boldsymbol{0}
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The most widely used technique for solving the transient non-linear
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finite element equation is to use an incremental direct integration scheme.
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In the incremental formulation, a solution to the equation is sought at successive time
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steps :math:`\Delta t` apart.
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The most widely used technique for solving the transient non-linear
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finite element equation is to use an incremental direct integration scheme.
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In the incremental formulation, a solution to the equation is sought at successive time
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steps :math:`\Delta t` apart.
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.. math::
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.. math::
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\boldsymbol{r}({\boldsymbol{u}}_{n \Delta t},\dot{\boldsymbol{u}}_{n \Delta t}, \ddot{\boldsymbol{u}}_{n \Delta t}) = \boldsymbol{p}_f(n \Delta t) -
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\boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}_{n \Delta t}) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}_{n \Delta t}, \dot{\boldsymbol{u}}_{n \Delta t})
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\boldsymbol{r}({\boldsymbol{u}}_{n \Delta t},\dot{\boldsymbol{u}}_{n \Delta t}, \ddot{\boldsymbol{u}}_{n \Delta t}) = \boldsymbol{p}_f(n \Delta t) -
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\boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}_{n \Delta t}) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}_{n \Delta t}, \dot{\boldsymbol{u}}_{n \Delta t})
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For each time step, :math:`t`, the integration schemes provide two
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operators, :math:`\operatorname{I}_1` and :math:`\operatorname{I}_2`, to
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relate the velocity and accelerations at the time step as a function of
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the displacement at the time step and the response at previous time
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steps:
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For each time step, :math:`t`, the integration schemes provide two
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operators, :math:`\operatorname{I}_1` and :math:`\operatorname{I}_2`, to
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relate the velocity and accelerations at the time step as a function of
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the displacement at the time step and the response at previous time
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steps:
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.. math::
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.. math::
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\dot {\boldsymbol{u}}_{t} = {\mathrm{I}}_1 ({\boldsymbol{u}}_t, {\boldsymbol{u}}_{t-\Delta t}, \dot {\boldsymbol{u}}_{t-\Delta t},
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\ddot {\boldsymbol{u}}_{t - \Delta t}, {\boldsymbol{u}}_{t - 2\Delta t}, \dot {\boldsymbol{u}}_{t - 2 \Delta t}. ..., )
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%\label{I1}
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\dot {\boldsymbol{u}}_{t} = {\mathrm{I}}_1 ({\boldsymbol{u}}_t, {\boldsymbol{u}}_{t-\Delta t}, \dot {\boldsymbol{u}}_{t-\Delta t},
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\ddot {\boldsymbol{u}}_{t - \Delta t}, {\boldsymbol{u}}_{t - 2\Delta t}, \dot {\boldsymbol{u}}_{t - 2 \Delta t}. ..., )
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%\label{I1}
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.. math::
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.. math::
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\ddot {\boldsymbol{u}}_{t} = {\mathrm{I}}_2 ({\boldsymbol{u}}_t, {\boldsymbol{u}}_{t-\Delta t}, \dot{\boldsymbol{u}}_{t-\Delta t},
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\ddot{\boldsymbol{u}}_{t - \Delta t}, {\boldsymbol{u}}_{t - 2\Delta t}, \dot{\boldsymbol{u}}_{t - 2 \Delta t}. ..., )
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%\label{I2}
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\ddot {\boldsymbol{u}}_{t} = {\mathrm{I}}_2 ({\boldsymbol{u}}_t, {\boldsymbol{u}}_{t-\Delta t}, \dot{\boldsymbol{u}}_{t-\Delta t},
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\ddot{\boldsymbol{u}}_{t - \Delta t}, {\boldsymbol{u}}_{t - 2\Delta t}, \dot{\boldsymbol{u}}_{t - 2 \Delta t}. ..., )
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%\label{I2}
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These allow us to rewrite equation `fullTimeForm <#fullTimeForm>`__, in
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terms of a single response quantity, typically the displacement:
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These allow us to rewrite equation `fullTimeForm <#fullTimeForm>`__, in
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terms of a single response quantity, typically the displacement:
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.. math::
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.. math::
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\boldsymbol{r}({\boldsymbol{u}}_t) = \boldsymbol{p}_f(t) - \boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}_t) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}_t, \dot{\boldsymbol{u}}_t)
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%\label{genForm}
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\boldsymbol{r}({\boldsymbol{u}}_t) = \boldsymbol{p}_f(t) - \boldsymbol{p}_{\mathrm{i}}(\ddot{\boldsymbol{u}}_t) - \boldsymbol{p}_{\sigma}({\boldsymbol{u}}_t, \dot{\boldsymbol{u}}_t)
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%\label{genForm}
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The solution of this equation is typically obtained using an iterative
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procedure, i.e. making an initial prediction for
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:math:`{\boldsymbol{u}}_{t}`, denoted :math:`{\boldsymbol{u}}_{t}^{(0)}`
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a sequence of approximations :math:`{\boldsymbol{u}}_{t}^{(i)}`,
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:math:`i=1,2, ..` is obtained which converges (we hope) to the solution
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:math:`{\boldsymbol{u}}_{t}`. The most frequently used iterative
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schemes, such as Newton-Raphson, modified Newton, and quasi Newton
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schemes, are based on a Taylor expansion of
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equation `genForm <#genForm>`__ about :math:`{\boldsymbol{u}}_{t}`:
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The solution of this equation is typically obtained using an iterative
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procedure, i.e. making an initial prediction for
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:math:`{\boldsymbol{u}}_{t}`, denoted :math:`{\boldsymbol{u}}_{t}^{(0)}`
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a sequence of approximations :math:`{\boldsymbol{u}}_{t}^{(i)}`,
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:math:`i=1,2, ..` is obtained which converges (we hope) to the solution
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:math:`{\boldsymbol{u}}_{t}`. The most frequently used iterative
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schemes, such as Newton-Raphson, modified Newton, and quasi Newton
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schemes, are based on a Taylor expansion of
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equation `genForm <#genForm>`__ about :math:`{\boldsymbol{u}}_{t}`:
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.. math::
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.. math::
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\boldsymbol{r}({\boldsymbol{u}}_{t}) =
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\boldsymbol{r}({\boldsymbol{u}}_{t}^{(i)}) +
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\left[ {\frac{\partial \boldsymbol{r}}{\partial {\boldsymbol{u}}_t} \vert}_{{\boldsymbol{u}}_{t}^{(i)}}\right]
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\left( {\boldsymbol{u}}_{t} - {\boldsymbol{u}}_{t}^{(i)} \right)
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\boldsymbol{r}({\boldsymbol{u}}_{t}) =
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\boldsymbol{r}({\boldsymbol{u}}_{t}^{(i)}) +
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\left[ {\frac{\partial \boldsymbol{r}}{\partial {\boldsymbol{u}}_t} \vert}_{{\boldsymbol{u}}_{t}^{(i)}}\right]
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\left( {\boldsymbol{u}}_{t} - {\boldsymbol{u}}_{t}^{(i)} \right)
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.. math::
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.. math::
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\boldsymbol{r}({\boldsymbol{u}}_{t}) = \boldsymbol{p}_f (t) - \boldsymbol{p}_{\mathrm{i}} \left( \ddot {\boldsymbol{u}}_{t}^{(i)} \right) - \boldsymbol{p}_{\sigma} \left( \dot {\boldsymbol{u}}_{t}^{(i)}, {\boldsymbol{u}}_{t}^{(i)} \right)- \left[
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\boldsymbol{M}^{(i)} {\mathrm{I}}_2'
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+ \boldsymbol{C}^{(i)} {\mathrm{I}}_1'
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+ \boldsymbol{K}^{(i)} \right]
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\left( {\boldsymbol{u}}_{t} - {\boldsymbol{u}}_{t}^{(i)} \right)
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%\label{femGenFormTaylor}
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\boldsymbol{r}({\boldsymbol{u}}_{t}) = \boldsymbol{p}_f (t) - \boldsymbol{p}_{\mathrm{i}} \left( \ddot {\boldsymbol{u}}_{t}^{(i)} \right) - \boldsymbol{p}_{\sigma} \left( \dot {\boldsymbol{u}}_{t}^{(i)}, {\boldsymbol{u}}_{t}^{(i)} \right)- \left[
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\boldsymbol{M}^{(i)} {\mathrm{I}}_2'
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+ \boldsymbol{C}^{(i)} {\mathrm{I}}_1'
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+ \boldsymbol{K}^{(i)} \right]
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\left( {\boldsymbol{u}}_{t} - {\boldsymbol{u}}_{t}^{(i)} \right)
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%\label{femGenFormTaylor}
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To start the iteration scheme, trial values for
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:math:`{\boldsymbol{u}}_{t}`, :math:`\dot
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{\boldsymbol{u}}_{t}` and :math:`\ddot {\boldsymbol{u}}_{t}` are
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required. These are obtained by assuming
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:math:`{\boldsymbol{u}}_{t}^{(0)} = {\boldsymbol{u}}_{t-\Delta t}`. The
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:math:`\dot {\boldsymbol{u}}_{t}^{(0)}` and
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:math:`\ddot {\boldsymbol{u}}_{t}^{(0)}` can then be obtained from the
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operators for the integration scheme.
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To start the iteration scheme, trial values for
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:math:`{\boldsymbol{u}}_{t}`, :math:`\dot
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{\boldsymbol{u}}_{t}` and :math:`\ddot {\boldsymbol{u}}_{t}` are
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required. These are obtained by assuming
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:math:`{\boldsymbol{u}}_{t}^{(0)} = {\boldsymbol{u}}_{t-\Delta t}`. The
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:math:`\dot {\boldsymbol{u}}_{t}^{(0)}` and
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:math:`\ddot {\boldsymbol{u}}_{t}^{(0)}` can then be obtained from the
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operators for the integration scheme.
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