1. S7-1 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation SECTION 7 ADVANCED TOPICS

2. S7-2 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation

3. S7-3 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation ADVANCED TOPICS n This module includes: u Batching Simulation Runs u Suppressing Chart Updates u Composite Responses u Tying Factors

4. S7-4 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation BATCHING SIMULATION RUNS DOE trials that fail in the ADAMS/View simulation phase will prevent subsequent runs from being evaluated. There are two ways to get around this: n Option 1 u Instead of evaluating the DOE trials within ADAMS/View, you can use ADAMS/View to generate a sequence of.adm files and an.acf that runs the trials on the command line. Simulation failures don’t affect the.acf script file. Build Run

5. S7-5 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation BATCHING SIMULATION RUNS… n Option 2 u The other option is to specify that ADAMS/View use external Solver when simulating. This means that ADAMS/View manages the simulation runs, but simulation failures in a single trial don’t halt the entire evaluation process.

6. S7-6 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation SUPPRESSING CHART UPDATES n By default, ADAMS/View (and other MSC.ADAMS products) plots response and factor values for each trial. For models with many trials, this may take some time, as ADAMS/View must overlay many curves in the strip-chart displays. n To speed up this process, you can turn off this plotting feature using the ADAMS/View Command Navigator. Make these changes before transferring to ADAMS/Insight: u From the Tools menu, select Command Navigator. u Expand simulation, then multi_run, and then select set.

7. S7-7 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation SUPPRESSING CHART UPDATES u Set Chart Objectives and Chart Variables to no.

8. S7-8 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation COMPOSITE RESPONSES n Typical response u A typical response is a scalar value. In other words, it measures a single quantity. Maximum value, minimum value, and average value are all examples of scalar quantities derived from time-history data. Graphically, this might look like the figure below where a maximum force value is being determined:

9. S7-9 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation COMPOSITE RESPONSES u What if you want to capture information about the shape of the curve? What if you need a mathematical description of how much curvature one data trace has with respect to another? Composite responses allow you to do a simple polynomial fit to mathematically capture the shape of a curve. u Examples where you might require a mathematical description of a data trace include toe, caster, and camber curves in automobile suspensions, mechanism trajectories for collision avoidance, and velocity profile matching.

10. S7-10 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation COMPOSITE RESPONSES n Composite response u A composite response is a group of several values that describe the shape of a curve. u ADAMS/Insight implements composite responses to represent curve shape using polynomial coefficients. A composite response curve might look like the following, where the coefficients A, B, C, and D define the curve

11. S7-11 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation COMPOSITE RESPONSES u A third-order composite response would be four coefficients that vary with model configuration, so that each model in the design space has a curve associated with it. u Composite responses are implemented as objectives that return an array of values, not just a single value. u The built-in POLYFIT() function takes a dependant array, an independent array, and an order and returns the coefficients of the polynomial fit to the curve. u In ADAMS/Insight, composite responses look like four separate responses. Note the response values r_01(0) through r_01(3) in the following figure:

12. S7-12 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation COMPOSITE RESPONSES u The Web page now contains dynamic plots that change with the factors:

13. S7-13 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation TYING FACTORS u Ties relate common factor values to each another. A tie can be used whenever two variables vary linearly with respect to each other for all design configurations. Ties reduce the number of rows in the workspace, therefore reducing the total number of trials to be evaluated. u One factor can be tied to another if the two vary in a linear manner. Before tie:After tie:

14. S7-14 ADM730, Section 7, September 2005 Copyright  2005 MSC.Software Corporation TYING FACTORS u A common tie example is vehicle parameters. Changes on the left side of the vehicle typically need to be tied to changes on the right side to ensure symmetry. u Tied factors display a Tie tab to help you calculate the individual factor values.