adams离散数据导入的说明

1、由离散数据生成曲线：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,下列图是通过曲线生成的样条曲线.心年|京|好午 JI胤$1翻牛 神尸g4： Ljd RunITi m e 0G2£IOOB-3O 16i21:19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K4 Hdnction Builds加血手由曲线生成样条：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

2、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列图中的警告.(“V%发名JSplin<040.30.0Analysis; La丸RunTim电加口 a 口已召口 1521-180.1-0.20.2 d0.1fnodtl_1SLIDER: PaRT"-0.3 OC-E甘 3dxdy2、在 database navigator 中可以找到这个 spline_1.3、比方要成为时间的函数施加到motion或者force上,可见下列图.这样运动就定义了.1 Function BuildeirDefine a rimtime functionNameMorriON_

3、iJointToijit TypertvoltiitAXIS PL Ctili*, SPlIiaE_l , 0)Vir4cti qtdefine UsingRot-Ii onalFuneti onFuastiM fti)州工C|TypqDi spl&cemeiit ICVelocity IC|SplintCuhie Fitting, MethodB-Splm* FlutingAkima Fitting MathodMar kenAEQSfL( lEt_Iadep_Var 3 2nd_IrLdep_Var ?Splme_Najie三种样条函数的定义区别Example A spline,

4、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

5、returns the interpolated value of the spline of displacement over time, to define a motion function: Motion = CUBSPL(TIME, 0, spline_1)Independentvariable (Time)Depend&nt variable (Displacement)011(K)125Xy J45IW WU 40 2(Figure4. Spline Defined Ba多3 Tabular Dat日i250200150- w50 旧plh；事 in日 nt入一,.41

6、 J1 -21 -11-50 -15m-200-2501u 11七与.5*,Tim中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.

7、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)Independent variable (x);