optislang v4 - dynardo gmbh · replacement) to serve user expectations of automation and...

1

optiSLang v4

DYNARDO • © Dynardo GmbH 2012

2


Redesign and rewrite of algorithmic base (SLang replacement) as C++ Library to be ready for high performance computing and integration in third party applications - independent use of MOP‘s - Customer application using Sensi/MoP/Optimizer - Integration into ANSYS Workbench Redesign and rewrite of Graphical user Interface (FlowGuide replacement) to serve user expectations of automation and integration - optiSLang Version 4 Third party integration‘s and optiSLang GUI version 4.0 use identical C++Libraries. With that move Dynardo is ready for future challenges to integrate third party CAE-flows as well as to be integrated into parametric modeling environments.

Dynardo Software Strategie

3

Customer Application: optiFrame/Movie + Fully automatic parameterization of ABAQUS passenger car models + Load case, parameter, response name mapping + Accessing job distribution systems, Parallel processing, Job monitoring, Status control + Methodology: ALHS sampling -> MOP ->Optimization on MOP-Solver -> Best design verification

User Application of optiSLang v4 Library


4

Customer Application: optiFrame/MovieCombination of user defined GUI optiSLang post processing and optiSLang v4 libraries

User Application of optiSLang v4 Library

Source: Drücker; Optimization of Restraint Systems of a Vehicle Architecture using Meta Models; SAE Conference 2011, Paper Number 11-0110


5


optiSLang inside ANSYS Workbench

6

ANSYS User Conferences © Dynardo GmbH © October 2012

Excellence of optiSLang

• optiSLang is the commercial tool that has completed the necessary functionality of sensitivity analysis, optimization and stochastic analysis to measure Robustness and Reliability to run real world industrial RDO applications

• optiSLang offers easy and safe to use workflows with algorithmic wizards having robust default settings

• Since 2009 ANSYS interfacing via optiPlug• Since 2012 ANSYS workbench integrated

version

7

ANSYS User Conferences © Dynardo GmbH © October 2012

ANSYS is a very powerful parametric modeling environment

minimize

- including process automation, third party CAE integration, bidirectional CAD interfaces, parallel computing

- easy acces to parametric via parameter manager

- with these important technology ANSYS Workbench is ready to address RDO task‘s

8

optiSLang inside ANSYS © Dynardo GmbH © 2012

Modules Sensitivity+MOP, Optimization and Robustness+MOP provide „best practise“ optiSLang functionality

optiSLang inside ANSYS Workbench v14

9

Safe to use. automate best practice to „black box“ flows minimize the risk to miss better designs (optimization) minimize the risk to estimate misleading measures for robustness,

safety and reliability offer easy to use measurements of prognosis quality

That task requires sophisticated technology with carefully balance between number of solver calls and safety to reach the RDO goal.

Technology takes care that “non expert” can use it!

optiSLang Flows of best Praxis


10

ANSYS Workbench easy parametric set up of complex simulations

- intelligent scanning of parameter space- generation of Meta model of optimal Prognosis (MOP)- easy to use optimization and robustness modules

optiSLang inside ANSYS Workbench


Easy to use: minimize user input offer best practise

defaults for modules offer pre defined post

processing modes

User-friendliness takes care that it will be used!

11

What do we mean with that? “classic” DOE+RSM technology ask user to reduce number of

variables, choose a suitable DOE with a suitable regression function and check the quality of the resulting response surface (RS) and the “optima” on the RS.

optiSLang provides a automatic flow to reduce variables and generate the best possible response surface for every response with a given number of solver calls [Meta model of optimal Prognosis (MoP)] and checks MoP Prognosis quality and “optima” in real space.

optiSLang inside ANSYS WorkbenchEasy and safe to use!


12

Sensitivity Module Minimal required user input:

Definition of parameter variation


13

The Meta Model of optimal Prognosis (MOP) is automatically created out of the DOE-Sampling Minimal required user input: non Additional features:

supports removing designs out of DOE Post Processing

Sensitivity Module


14

Optimization using MOP After sensitivity optimization using of MOP is supported. Minimum required user input:

drop the optimization module onto MOP

defining objective and constraints

“Optima” which are based on meta models need to be verified! Proof optima:

Automatic verification with real ANSYS call

Check differences in post processing


15


Optimization Wizzard

optiSLang helps you to select a suitable optimization algorithm. Support the underlying (automatic) selection process with some additional information about the solver and the problem itself.

Exampel for using MOP and best_design_Sensitivity:

1. Set the analysis status as “Preoptimized” (best design from Sensitivity)

2. Set the constraint violations to “Seldom”

3. Set failed designs to “None” (MOP gives always response values)

4. Set solver noise to “None” (MOP gives a smooth surface)

16


Optimization Wizzard using MOP

Suggested algorithm is NLPQL

Start point is automatically selected

Press “Next”

1.

3. 2.

17

Optimization with real design calls

After sensitivity und optimization on MOP the user can continue with gradient-based, NOA-based optimization or ARSM optimization. Minimum required user input:

define objectives and constraints choose method (Gradient-based including

start design, NOA-based including best designs’s out of sensitivity/MOP, ARSM in the domain of the most important optimization parameter)

For all optimizer robust default settings are provided. NOA - Nature inspired optimization contains: evolutionary, genetic, particle swarm optimization ARSM – Adaptive Response Surface Method


18

Robustness Evaluation

Minimum required user input: definition of input variation /scatter definition of robustness criteria number of samples for ALHS


19

optiSLang saves every design which was successfully calculated

using update at optiSLang container continue or reset can be chosen

using continue optiSLang only send unsolved designs

Continue crashed session option inside ANSYS


ANSYS Conference & 30th CADFEM Users Meeting, Kassel, October 24.-26, 2012

20

Recalculate failed designs

• Due to different reasons design evaluations may fail

• With “Recalculate Failed Design Points” you can start them again



21

Interrupt, save, send & continue• Stop your analysis

• At the end of the day

• If licenses are not available

• …

• Save the Workbench project

• Continue later

• saves every successful design run!

• external optimization using MOP possible!



22

Parallel evaluation using Ansys RSM• ANSYS RSM is the powerful tool to distribute jobs

• optiSLang can fill the Workbench design table with a predefined number of designs

• ANSYS RSM organizes distribution of jobs

• If ANSYS RSM is installed you only need to:

• Choose RSM Mode

• Set max. number of parallel jobs



23

Update via Python scripting

• ANSYS initialize per default an update mechanism, which updates a complete ANSYS Workbench project

• Mechanism can be overridden via python file

• optiSLang provides this feature for optiSLang design evaluations

• user has full access to his ANSYS model update



24


ANSYS HPC Parametric PackoptiSLang inside Ansys Workbench v14.5

optiSLang Algorithm Settings• Select “Use RSM Mode” to enable parallel design point submission

• Set the “Preferred Number of Design Points in Parallel” to the intended RSM job size

25


optiSLang4

26


Nodes - operation• Input• Properties• Output

Edges• Data flow• Triggering

Graphical programming

27

WOST 9.0 • 29.11.2012 • © Dynardo GmbH 2012

• Support v3 problem definition• Load or• Double - click .pro

• Postprocessing• v4.0 uses v3 postprocessing• Double - click .bin

v3 Compatibility

28


Documentation• Tutorials• Examples• Supportmail• Method documentation• Context sensitive help

• Tabs• Search

29


Fast creation of solver chain via wizard

Solver appears as a node in the flow• Data flow• Triggering • solver specific paramtrization

Integrations

30


Integrations Direct integration • Matlab • Excel • Python • SimulationX • Mathcad Supported connection • Ansys • Abaqus • LS-Dyna • Adams • Madymo Arbitrary connection of ASCII file based solvers

31


Easy, safe and fast flow creation• Parametrization - solver chain• Sensitivity (including MOP generation)• Optimization (with decision tree)• Robustness• Post processing

Proven flows and defaults

Wizards

Sensitivity (including MOP generation)

32


• Use templates • Drag & Drop • Automatic connect (Parameter, Designs, …)

• Algorithms are nodes with inputs and outputs

(compact view)

Wizard based flow creation

33


• Set up solver chain • Test run • Templates • Online help • Batch mode – no window system needed, no interaction • Postprocessing • .bin -> .csv Export • MOP on v3 .bin files • MOP solver with v3 .bin files • Import of optiSLang version 3.x *.pro files

What optiSLang4 can do – Project

34


• DOE • ARSM • NOA • NLPQL • Robustness • MOP • MOP as Solver • Iterative Variance based RDO

What optiSLang4 can do – Algorithms

35

© Dynardo GmbH 2012

The Sensitivity Flow

• The MOP is now fully integrated in the sensitivity flow

• User-interaction may be enabled before the MOP is built

36


Neglection of Outliers

• Outliers or (physical) meaningless designs may be deactivated and the reduced data set is taken automatically for the MOP generation

37


Optimization on the MOP

• Optimization on the MOP is now directly linked to the sensitivity flow

• Validation of best design is directly performed with predefined solver template

38


Decision Tree for Optimizer Selection

• An optimizer is automatically suggested depending on the parameter properties, the defined criteria as well as user specified settings

• Preoptimized reference without failed or noisy solver responses -> NLPQL

39



• Single-objective optimization with no user defined settings

ARSM is the default method

40



• For multi-objective optimization the global Evolutionary Algorithm is recommended

41


Advanced Optimization Flow

• In optiSlang 4 different optimization steps can be connected by automatically importing the best design of e.g. a global optimization to a following local optimization

• Such flows can be defined before any solver is called

42


Advanced Optimization/Robustness Flow

• Similar to hierarchical optimization steps, single-objective optimization and robustness analysis can be connected e.g. by automatically considering the best design of an optimization as nominal design (mean values) for a following robustness analysis

43


Comfortable extraction of known output file formatsTo be integrated in process chain

Nodes for:• Abaqus• Adams• Ansys

Output extraction with ETK

44


MatlabSolver specific dialog and execution

45


PythonSolver specific dialog and execution

46


Excel Solver specific dialog and execution

47


Solver specific dialog and execution

Simulation X

48


• Create or modify a project • In GUI • With python script

• Run the project

• In batch • No graphical environment needed

optislang – – batch myproject.opf

Command Line Interface (CLI)

49

optiSLang modes of operation


50


Flowchart of optiSLang sensitivity analysis

• Full design variable space X for sensitivity analysis• Scanning the design space with DoE by direct solver calls• Generating MOP on DoE samples • Sensitivity analysis gives reduced design variable space Xred

• MOP may be used as approximation model for optimization• Best design from DoE as start point may accelerate local optimization

DoE

Solver

Sensitivity analysis

MOP

51


Perform sensitivity analysis for external data

• Use Excel plugin to transform data in optiSLang binary file:

• MOP uses external DoE to perform sensitivity analysis:

Excel plugin MOP External

DoE

52


MOP-Solver: Using MOP in external applications

• The MOP-Solver is a stand-alone executable

• Connection to existing optiSLang MOP-results files

• Inputs and outputs are available in ASCII-files

• Connection to arbitrary post-processing tools by file parsing

MOP Solver

MOP binary file

Inputs Outputs

53


MOP-Solver: Using MOP in external applications

• Initialization: mopsolver.exe --init MOP_resultfile.bin -i inputs.txt -o outputs.txt

• Evaluation: mopsolver.exe -i inputs.txt -o outputs.txt

• ASCII-based input/output definition:

54

• Full design variable space X for sensitivity analysis• Scanning the design space with DOE by direct solver calls• Generating MOP on DOE samples • Sensitivity analysis gives reduced design variable space Xred

• Optimization requires objective function f(x) and constraint conditions gj(x), optional start value x0

• Optimizer determines optimal design xopt by direct solver calls

Standard optimization

DOE

Solver

Optimizer• Gradient• ARSM• EA/GA


Optimization

Solver

MOP

Dynardo • optiSlang Seminar method overview


55

Optimization with MOP pre-search

• Full optimization is performed on MOP by approximating the solver response

• Optimal design on MOP can be used as – final design (verification with solver is required!) – as start value for second optimization step with direct solver

• Good approximation quality of MOP is necessary for objective and constraints (CoP ≥ 90%)

DOE

Solver



Optimization

SolverMOP

MOP




56

Optimization with MOP using external DOE

• External DOE exists from experiments or other sources• Excel plugin is used to generate optiSLang binary file• MOP uses external DOE scheme to generate approximation and to

perform sensitivity analysis• Optimization is performed on MOP to obtain approximate optimum

ExternalDOE



Optimization

MOP

MOPExcel plugin



57

• Full optimization variable space X for sensitivity analysis• Sensitivity analysis gives reduced optimization variable space Xred

• Optimizer determines optimal design xopt by direct solver calls• Robustness evaluation (varianced-based or reliability-based)

in the random variable space Xrob at optimal design xopt

Optimization + Robustness evaluation

DOE

Solver



Optimization

Solver

MOP

Robustness• Variance• Sigma-level• Reliability

Robustness

Solver



58

• Sensitivity analysis gives reduced optimization variable space Xred• Optimizer determines optimal design xopt by direct solver calls• Robustness evaluation

– Robust optimum – end of iteration– Non-robust optimum - update constraints and repeat optimization

+ robustness evaluation

Iterative Robust Design Optimization

DOE

Solver



Optimization

Solver

MOP

Robustness• Variance• Sigma-level• Reliability

Robustness

Solver

Update constraints

No Yes

End



59

• Sensitivity analysis gives reduced optimization variable space Xred

• Optimizer determines optimal design xopt by direct solver calls with simultaneous robustness evaluation for every design

• Each robustness evaluation determines robustness values by direct solver calls

Simultaneous Robust Design Optimization

DOE

Solver

OptimizerSensitivity analysis

Robust Design Optimization

Solver

MOP

Robustness

Solver



60


optiPlug SoS - Statistics on Structure ETK - Extraction Tool Kit

optiSLang Integration Environment

61

Extraction Tool Kit (ETK) • Extraction toolkit to replace the

scripting for result extraction and processing

• GUI interface for extraction and processing

• Batch execution mode • Creates optiSLang *.pro file

• Full functional support of Abaqus

*.odb and ANSYS binary files (RST, RTH,RMG, RFL)

• Support of Adams XML format • Support of ASCII output for

MADYMO • Available on Windows/Linux


62

• Operations with scalar, vector and signal objects

• Definition of optiSLang output parameters

Extraction Tool Kit (ETK)


63

• Output objects are written in additional ASCII text file

• Parametrization of the outputs is done by ETK

• Definition of objectives and constraints has to be done by hand

• Integration of ETK in solver batch script is necessary

Extraction Tool Kit (ETK)


64

ETK will be integrated part of solver extraction in new optiSLang GUI version 4.0

Future of Extraktion Tool Kit (ETK)


65

ETK inside optiSLang v4 Fast Output parameter definition in GUI Apply your mathematics Visualize preview Save ETK - Project Use ETK inside your batch solver-chain Batch execution mode creates optiSLang *.pro file

Extraktion Tool Kit (ETK)


optislang v4 - dynardo gmbh · replacement) to serve user expectations of automation and...

Documents