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Welcome to LS-OPT Support Site...

LS-OPT, the graphical optimization tool that interfaces perfectly with LS-DYNA, allows the user to structure the design process, explore the design space and compute optimal designs according to specified constraints and objectives. The program is also highly suited to the solution of system identification problems and stochastic analysis. The graphical tool LS-OPTui interfaces with LS-DYNA and provides an environment to specify optimization input, monitor and control parallel simulations and post-process optimization data, as well as viewing multiple designs using LS-PREPOST.

Getting Started

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Downloads

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Documents

Collection of documents related to LS-OPT, Optimization and Stochastics

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Examples

This section demonstrates LS-OPT capabilities by means of a series of examples.

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HowTos

Collection of information and examples for several tasks with LS-OPT

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FAQs

FAQ's related to Optimization, Robustness and Reliability Analysis

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Videos

Tutorial videos

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News

Site News

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Welcome to LS-OPT Support Site

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Optimization

LS-OPT is designed to meet all requirements to solve arbitrary non-linear optimization tasks.
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Successive Response Surface Method (SRSM)

  • Very effective algorithm for highly nonlinear problems such as crashworthiness or metal forming applications

Genetic Optimization Algorithm (GA)

  • suitable for arbitrary problems in particular for complex performance functions
    (e.g. many local minima)

Multidisciplinary Optimization (MDO)

  • More than one load case and more than one CAE-Discipline
    Parallel execution of multiple load cases with different analyzing types and possibly different variable definitions
  • Discipline-specific job control
  • Discipline specific point selection schemes (experimental design)

Multi-Objective Optimization

  • Simultaneous optimization of more than one objective function
  • Pareto Front Solutions

Reliability Based Design Optimization (RBDO)

  • Optimization that directly accounts for the variability and the probability of failure

Robust Design Optimization (RDO)

  • Optimizing design and robustness simultaneously

Optimization variables

  • Continuous and discrete variables
  • Mixed discrete-continuous optimization
  • Dependent (linked) variables

Identification of system-/material parameters

  • Calibration of models to experimental data

Shape optimization

  • Process of optimizing the geometrical dimensions of a structural part
    Interface to parametric pre-processors: ANSA, HyperMorph, TrueGrid, User-Defined

 

 

 

Examples: 

 

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System-/Parameter Identification

The utilization of new materials such as plastics, composites, foams, textile or high-strength steels require the application of highly complex material models. These material models generally bring along numerous material parameters, which are difficult to define. The optimization program LS-OPT is excellently suited for the identification of these parameters. By the parameterized simulation of the physical tests with LS-DYNA an automated calibration to the test results is performed. The objective is to minimize the error between the test results and the simulation results.

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Optimization Algorithm

  • Successive Response Surface Method (SRSM)

Calibration of

  • Scalar values
  • Global curves
  • Full-field calibration

Curve Extraction

  • Interface to LS-DYNA output
  • Target curve from file
  • Interface to gom/ARAMIS
  • Crossplots

Curve matching metrics

  • Mean Squarred Error
  • Curve Mapping (e.g. for hysteretic curves)
  • Dynamic Time Warping

Visualization

  • History Plot
  • Visualization of simulated and target curve
  • LSPP fringe plots

Examples:

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Design Exploration

LS-OPT allows global approximations of the design space using meta models. These meta models may be used for design exploration.
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Response Surfaces (Meta Models)

  • Global approximation of Responses and Histories
  • Metamodel types: Polynomials, Radial Basis Functions, Feedforward Neural networks

Visualization

  • 2D/3D sections of the surfaces
    • 1/2 selected variables vs. any response
  • Constraints on the meta models
  • Influence of single parameter on a history curve
  • Interactive prediction of response values

 

 

 

 

 

 

 

 

 

 

 Examples:

 

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Sensitivity Studies

Methods for the determination of significant variables are implemented in LS-OPT.
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Linear ANOVA (Analysis of Variance)

  • regression based method
  • evaluated on metamodel
  • 90% confidence interval
  • normalized with respect to design space
  • influence of variables on single response

Global Sensitivity Analysis (Sobol)

  • variance based method
  • evaluated on metamodel
  • nonlinear for nonlinear metamodel
  • normalized
  • absolute value
  • determination of influence of variables an multiple responses or on the whole problem possible

 

 

 

 

 

 Examples:

 

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Robustness Analysis

Stochastic methods and features for robustness analysis are implemented in LS-OPT.

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Monte Carlo Investigations

  • Direct and metamodel based
  • Estimation of Mean, Std. Deviation
  • Correlation Analysis
  • Confidence Intervals
  • Outlier Analysis
  • Stochastic contribution analysis

Reliability studies

  • Determination of failure probability
  • Methods: FOSM, FORM

Reliability Based Design Optimization

  • Optimization that directly accounts for the variability and the probability of failure

Robust Design Optimization

  • Optimizing design and robustness simultanously

Visualization of statistical results on the FE-Model (DYNAstats)

  • Fringe of mean and standard deviation on the FE-model utilizing LS-PrePost
  • Display of variation of element results such as stress, thinning, plastic strain...
  • Correlation of node displacements with respect to any response
  • Statistics of time history curves
 
Examples:
 

 

 

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Topology Optimization

LS-TaSC™ is a Topol­o­gy and Shape Com­pu­ta­tion tool. De­vel­oped for en­gi­neer­ing an­a­lysts who need to op­ti­mize struc­tures, LS-TaSC works with both the im­plic­it and ex­plic­it solvers of LS-DY­NA. LS-TaSC han­dles topol­o­gy op­ti­miza­tion of large non-lin­ear prob­lems, in­volv­ing dy­nam­ic loads and con­tact con­di­tions.

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General capabilities

  • Solid design using first-order hexahedrons and tetrahedral elements
  • Shell design using first-order quadrilateral and triangular elements
  • Global constraints
  • Multiple load cases, e.g. static, impact and NVH
  • Tight integration with LS-DYNA
  • Large models with millions of elements

Geometry definitions

  • Multiple parts
  • Symmetry
  • Extrusions
  • Casting, one sided
  • Casting, two sided
  • Forging

Postprocessing

  • Design histories
  • LS-PrePost plots of the geometry evolution and the final design
  • Iso-surfaces

 

 

 

 

 

 

 

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Imprint

The following company contributes to this web site:

 

Anschrift
DYNAmore GmbH, an Ansys Company
Zentrale
Industriestraße 2
D-70565 Stuttgart

Telefon
+49 (0)711-459600-0

Telefax
+49 (0)711-459600-29

Webseite
www.dynamore.de

Geschäftsführer
Richard Belcher

Florian Vogel

Registergericht
Stuttgart

Sitz
Stuttgart

Registernummer
HRB 765839

Umsatzsteuer-Identifikationsnummer (gemäß § 27 a Umsatzsteuergesetz)
DE320033770

Welcome to LS-OPT Support Site

LS-OPT, the graphical optimization tool that interfaces perfectly with LS-DYNA allows the user to structure the design process, explore the design space and compute optimal designs according to specified constraints and objectives. The program is also highly suited to the solution of system identification problems and stochastic analysis.

Read More…

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