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InteracesIsight has been designed with ease-of-use in mind.
Highly visual andintuitive interfaces, wizards, and drag-and-drop
capabilities allow you
to work quickly and efciently.
Design GatewayLeverage this intuitive graphical user interface
to quickly createintegrated simulation process ows that couple
simulation programsregardless of discipline, programming language,
or format. Itprovides drag-and-drop process ow creation, parameter
mapping,and problem formulation. This feature-rich process editor
supportspowerful le parameters that can represent simulation models
asvariables as well as dynamically sizable arrays for both inputs
andoutputs. It also provides branching, looping, conditional
statementsof arbitrary complexity with any parameter, and other
executionlogic. At any point in the automated process ow, a break
can beinserted to allow user intervention. This exibility, combined
withJython/Python scripts to alter the runtime behavior of the
model as afunction of changing parameter values, allows the
creation of highly
reusable processes. If an authoring error is made, the user can
easilyrestore to a previously auto-saved version. Once the process
ow isdened, the user interface enables easy import of externally
denedparameter values and problem formulations. Utilities such as
modelsearch, model content overview, parameter search, and
parametergrouping are also supported.
Runtime GatewayExecute engineering process ows and create graphs
and tablesto visualize results. In the desktop execution mode, all
job resultsare saved automatically to a locally managed MySQL
database.The user interface supports the creation of visual tools
for real-time postprocessing of data such as tables, 2D and 3D
plots, andstatistical analysis. Run data can be ltered and graded
with a exibleset of criteria. All scatter plots allow easy
one-click visualizationof the virtual prototype by dedicated
simulation results viewers. It
provides interactive tools for visualizing parameter
relationshipsand performance attribute trade-offs with interactive
approximations.Users can share these approximations with non-Isight
users byexporting them to Excel.
Component Development EnvironmentAn easy-to-use component
development environment based onEclipseTM supports the creation of
application components thatcommunicate with one another in the
Isight environment. Addcustom techniques, including DOE,
approximation, approximationerror analysis, optimization and Monte
Carlo sampling methods, andrandom variable distributions. Leverage
the APIs of the existingtechniques in order to create custom hybrid
search methods.
Localization
Interfaces, components, and messages have been localized
forJapanese language support.
Process IntegrationIsight includes a number of valuable
application components thatare included with all package levels.
These components are most
commonly used for building simulation process ows and
exchangingdata with external sources.
AbaqusQuickly and automatically exchange data with Abaqus input,
.cae,.odb, and .dat les. Support desktop solver execution, remote
solverexecution, and results extraction on an LSF cluster.
DymolaQuickly and automatically exchange data with Dymola input
dsin.txtles and output with .mat les. Support for dynosim.exe
desktop andremote execution in the SEE environment.
Microsot Ofce Components: Word and ExcelSend Isight parameter
values and results directly to a pre-formatted
Microsoft Word documentan excellent way to quickly share
resultswith others in the organization. Integrate Excel
spreadsheets withIsight to allow parameters to be read from or
written to cells andautomatically execute Excel macros.
EmailSend Isight parameter values and results directly to a
pre-formattedemail message that will be automatically sent at a
predeterminedpoint in a process ow.
MATLABIntegrate MATLAB les with Isight to allow parameters to be
readfrom or written to MATLAB scripts.
iSIGHT ComponentsThe iSIGHT File Parser component enables
execution of parsingcommands in the iSIGHT classic Advanced File
Parser. The iSIGHTcomponent allows an iSIGHT classic application to
be executedfrom Isight. These two components aid in the migration
from iSIGHTclassic to Isight.
COM (Microsot Component Object Model)Directly communicate with
COM objects.
Data Exchanger, OS Command, and SimcodeData Exchanger enables
easy data exchange between ASCII-based les. OS Command
automatically executes operatingsystem commands, scripts, and
operating system commands on agrid controlled by Platform LSF or
using SSH. Simcode combinesthe functionality of the Data Exchanger
and the OS Commandcomponents.
An open desktop solution or creating fexible simulation process
fows, consisting oa variety o applications, to automate the
exploration o design alternatives, identiyoptimal perormance
parameters and integrate added-value systems.
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Data MatchingCalibrate simulation models by minimizing any
variety of differenterror measures using optimization techniques.
Target data can beeither imported experimental results or
simulation results generatedby a higher-delity code.
ApproximationsCreate an approximation model for any task, any
applicationcomponent, or from a data le. Response surface
modeling
(RSM) is available with four-term selection techniques, as
wellas orthogonal polynomial models. The software also
includesRadial or Ellliptic Basis Function methods with user
selectableshape functions and smoothing, as well as a Kriging
methodwith Exponential, Gaussian and Matern correlation
functions.All methods support automatic cross-validation with
easy-to-understand visual error analysis. The Visual Design Driver
(VDD)interface allows users to visualize approximation surfaces in
2Dor 3D with overlaid constraints, and to make real-time changes
orlaunch a design improvement strategy. The VDD calculates boththe
global and local effects of the design variables on an output.
Monte Carlo AnalysisLeverage simple random sampling, descriptive
sampling, eightstandard distributions, and distribution truncation.
This componentis easily extendable to other sampling methods
through the plug-
in framework. The distributions supported are: normal,
skewednormal, log-normal, Weibull, Gumbel, uniform,
Discrete-Uniformand exponential. A component for Stochastic Design
Improvement(SDI), an iterative Monte Carlo procedure for improving
a design, isalso included.
Six SigmaUse probabilistic analysis to measure the quality of a
designgiven uncertainty or randomness of a product or process.
Performreliability analysis with the mean value method, FORM and
SORMreliability method, DOE sample, or Monte Carlo Analysis.
Thiscomponent can be used in combination with optimization
andapproximation techniques to perform fast Six Sigma
optimization.
Taguchi Method
Improve the quality of a product or process by striving to
achieveperformance targets and minimizing performance variation.
Thiscomponent supports Taguchi analysis for static, dynamic,
anddynamic-standardized system types.
CalculatorPerform calculations, unit conversions, data
transformations andvector and matrix operations as part of the
process ow for allparameter types including strings. The component
editor supportssyntax-sensitive color coding and has tool tips for
hints and errormessages.
ScriptExecute a script of Java commands to manipulate
parameters,
interact with les, or invoke other programs.
DatabaseInterface with a SQL-compliant relational database
(Oracle, DB2,Access, or MySQL Server 2000) to support retrieval and
storage ofinput and output data.
Grid SupportEnable parallel submission of optimization, Monte
Carlo, and DOEjobs on multiprocessor machines, in addition to
Platform LSF or PBS/Torque batch submissions on Windows and Linux
clusters.
In addition to the above application components that are
availablewith all package levels, SIMULIA offers add-on components
for
popular engineering software applications such as CATIA
V5,Solidworks, Pro/ENGINEER, Unigraphics, ENOVIA, ANSYS,LS-DYNA,
MADYMO, STAR-CCM+, AVL, Adams, and Nastran.Please visit
http://components.simulia.com/ for more information.
Design OptimizationIsight also offers several packages that are
used to optimizethe simulated behavior characteristics in terms of
performance,performance variance, and reliability. The design
optimizationtechniques can be used individually or nested in the
sim-ow. Mosttechniques leverage parallel execution and support
options for thehandling of failed runs.
Design o Experiments (DOE)Access a full suite of methods
including Central Composite, Data File,Full Factorial,
Fractional-Factorial, Box-Behnken, Latin Hypercube,Optimal Latin
Hypercube, Orthogonal Array, and Parameter Study
with appropriate postprocessing options. Achieve a
user-denedapproximation cross-validation error with automatic
sequentialsampling.
Optimization and Target SolverDene your optimization problem in
terms of variables and multipleweighted and scaled objectives and
constraints using the followingalgorithms: Gradient: NLPQL, MMFD,
LSGRG2; Pattern: Hooke-Jeeves, Downhill Simplex, Adaptive Simulated
Annealing; MixedInteger/Real: MISQP, MOST; Genetic Algorithms:
Evolution, Multi-Island GA; Multi-Objective: AMGA, NSGA II, NCGA,
Particle Swarm;Other: Stress-Ratio Method, Pointer I & II
Automatic Optimizer,Approximation Loop. Specify target values for
the output parametersof the process ow and deploy the target solver
to modify the inputvalues to achieve those goals. Visualize
optimization results usingseveral available tools including the
Engineering Data Mining
Interface for the viewing of multivariable / multi-response
plots.
SIMULIA World Headquarters166 Valley StreetProvidence, RI 02909
USA+1 401 276 4400E-mail: [email protected]
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