Adams Basic Package > Adams View > View Command Language > simulation > simulation multi_run design_study

simulation multi_run design_study

A set of simulations that help you adjust a parameter in your model to measure its effect on the performance of your model. For example, you can run a design study to determine the optimal length required for a driving link in a stamping machine required to make a stamp hit a box.

Format:

 
simulation multi_run design_study
model_name =
an existing model
sim_script_name =
an existing sim_script
variable_name =
an existing variable
number_of_levels =
integer
objective_name =
an existing objective
measure_name =
an existing measure
output_characteristic =
output_characteristic

Example:

 
simulation multi_run design_study &
model_name =
ATV_4poster &
sim_script_name =
Last_Sim &
variable_name =
variable__1 &
measure_name =
measure__1 &
output_characteristic =
average &
objective_name =
objective__1 &
number_of_levels =
2

Description:

 
Parameter
Value Type
Description
model_name
An Existing Model
Specifies an existing model.
sim_script_name
An Existing Sim_script
Specifies the name of your simulation script, or the default is used.
variable_name
An Existing Vvar
Enters the name of the design variable that you want to vary
number_of_levels
Integer
If you specified only a range for the design variable, enter the number of levels (values) you want to use in the Default Levels text box.
measure_name
An Existing Measure
Specifies the name of an existing measure to be used for the doe.
objective_name
An Existing Objective
Enters the name of the design objective.
output_characteristic
Output_characteristic

Extended Definition:

1. You may identify a model by typing its name or by picking it from the screen. If the model is not visible on the screen, you must type the name. You may also find it convenient to type the name even if the model is displayed. You must separate multiple model names by commas. If the model is visible in one of your views, you may identify it by picking on any of the graphics associated with it. You need not separate multiple model picks by commas.
2. Objectives usually involve simulation results, but they are not required to do so. You can create an objective that depends only on the model data, such as overall weight or size. You can then use Adams View to vary, or even optimize, the design variables and immediately see the results on the model
Typical objectives include time, energy, or displacement from a path.