The Newmark-beta method is a method of numerical integration used to solve certain differential equations. It is widely used in numerical evaluation of the dynamic response of structures and solids such as in finite element analysis to model dynamic systems. The method is named after Nathan M. Newmark, former Professor of Civil Engineering at the University of Illinois at Urbana–Champaign, who developed it in 1959 for use in structural dynamics. The semi-discretized structural equation is a second order ordinary differential equation system,
M\ddot{u}+C
u |
+frm{int
here
M
C
frm{int
frm{ext
Using the extended mean value theorem, the Newmark-
\beta
u |
n+1=
u |
n+\Deltat~\ddot{u}\gamma
where
\ddot{u}\gamma=(1-\gamma)\ddot{u}n+\gamma\ddot{u}n+1~~~~0\leq\gamma\leq1
therefore
u |
n+1=
u |
n+(1-\gamma)\Deltat~\ddot{u}n+\gamma\Deltat~\ddot{u}n+1.
Because acceleration also varies with time, however, the extended mean value theorem must also be extended to the second time derivative to obtain the correct displacement. Thus,
un+1=un+\Deltat~
u |
n+\begin{matrix}
1 | |
2 |
\end{matrix}\Delta
2~\ddot{u} | |
t | |
\beta |
where again
\ddot{u}\beta=(1-2\beta)\ddot{u}n+2\beta\ddot{u}n+1~~~~0\leq2\beta\leq1
The discretized structural equation becomes
\begin{aligned} &u |
n+1=
u |
n+(1-\gamma)\Deltat~\ddot{u}n+\gamma\Deltat~\ddot{u}n+1\\ &un+1=un+\Deltat~
u |
n+
\Deltat2 | |
2 |
\left((1-2\beta)\ddot{u}n+2\beta\ddot{u}n+1\right)\\ &M\ddot{u}n+1+C
u |
n+1+frm{int
Explicit central difference scheme is obtained by setting
\gamma=0.5
\beta=0
Average constant acceleration (Middle point rule) is obtained by setting
\gamma=0.5
\beta=0.25
A time-integration scheme is said to be stable if there exists an integration time-step
\Deltat0>0
\Deltat\in(0,\Deltat0]
qn
tn
qn+1
tn+1
qn+1=A(\Deltat)qn+gn+1(\Deltat)
The linear stability is equivalent to
\rho(A(\Deltat))\leq1
\rho(A(\Deltat))
A(\Deltat)
For the linear structural equation
M\ddot{u}+C
u |
+Ku=frm{ext
here
K
qn=[
u |
n,un]
A=
-1 | |
H | |
1 |
H0
\begin{aligned} H1=\begin{bmatrix} M+\gamma\DeltatC&\gamma\DeltatK\\ \beta\Deltat2C&M+\beta\Deltat2K \end{bmatrix} H0=\begin{bmatrix} M-(1-\gamma)\DeltatC&-(1-\gamma)\DeltatK\\ -(
1 | |
2 |
-\beta)\Deltat2C+\DeltatM&M-(
1 | |
2 |
-\beta)\Deltat2K \end{bmatrix} \end{aligned}
For undamped case (
C=0
u=
i\omegait | |
e |
xi
\omega2Mx=Kx
For each eigenmode, the update matrix becomes
\begin{aligned} H1=\begin{bmatrix} 1&\gamma\Deltat
2\\ 0 | |
\omega | |
i |
&1+\beta\Deltat2
2 \end{bmatrix} H | |
\omega | |
0 |
=\begin{bmatrix} 1&-(1-\gamma)\Deltat
2\\ | |
\omega | |
i |
\Deltat&1-(
1 | |
2 |
-\beta)\Deltat2
2 \end{bmatrix} \end{aligned} | |
\omega | |
i |
The characteristic equation of the update matrix is
λ2-\left(2-(\gamma+
1 | |
2 |
2\right)λ | |
)η | |
i |
+1-(\gamma-
1 | |
2 |
2 | |
)η | |
i |
=0
2 | |
η | |
i |
=
| ||||||||||
|
As for the stability, we have
Explicit central difference scheme (
\gamma=0.5
\beta=0
\omega\Deltat\leq2
Average constant acceleration (Middle point rule) (
\gamma=0.5
\beta=0.25