由已知离散数据生成曲线：
新建*.csv文件，需要两行。一行为横坐标，一行为纵坐标，二者顺序可以变化。
在后处理中导入*.csv文件，并画出曲线。通过这条曲线生成spline(点击spline按钮)。上图是生成的曲线，下图是通过曲线生成的样条曲线。
进入前处理，在需要定义的motion/force上施加样条函数（图中abb即为曲线生成的样条）
由已知曲线生成样条：
1、直接在后处理中画出measrue曲线，然后利用spline转化为需要输入的曲线（在这里我还不知道如何得到函数表达式，但是可以有曲线，就可以有输入了）应该有下图中的警告。
2、在database navigator 中可以找到这个spline_1。
3、比如要成为时间的函数施加到motion 或者force上，可见下图。这样运动就定义了。
三种样条函数的定义区别
Example A spline, spline_1, is defined with discrete data as shown in the
following table. The data is then used to generate the interpolation
function using the Cubic spline fitting method. Since the spline defines
a curve rather than a surface, the Second Independent Variable must be
set to 0.
The following example returns the interpolated value of the spline of
displacement over time, to define a motion function:
Motion = CUBSPL(TIME, 0, spline_1)
Example The following function returns the x direction evaluated value of
curve_1 at point TIME, where TIME is the current simulation time:
CURVE(TIME, 0, 1, curve_1)
Example A spline, spline_1, is defined with discrete data as shown in the
following table. The data is then used to generate the interpolation
function using the Akima spline fitting method. Since the spline
defines a curve rather than a surface, the Second Independent Variable
must be set to 0.
In the following example, given the tabular data and a value for the
independent variable, the AKISPL returns the interpolated value for the
dependent variable:
f = AKISPL(DX(marker_1, marker_2, marker_2), 0, spline_1)

adams离散数据导入的说明.doc