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LS-OPT

LS-OPT is a standalone design optimization and probabilistic analysis tool developped by LST LLC. The graphical optimization tool tightly interfaces with LS-DYNA.

Capabilities

Design Optimization

LS-OPT is designed to meet all requirements to solve arbitrary non-linear optimization tasks.

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  • Sizing Optimization
  • Shape Optimization
  • Interfaces to LS-PrePost, ANSA, PRIMER, HyperMorph
  • Multi-disciplinary Optimization
  • Multi-objective Optimization
  • Pareto Optimal Solutions- Sizing Optimization
  • Shape Optimization
  • Interfaces to LS-PrePost, ANSA, PRIMER, HyperMorph
  • Multi-disciplinary Optimization
  • Multi-objective Optimization
  • Pareto Optimal Solutions

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.
LS-OPT is excellently suited for the identification of these parameters.

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  • Curve matching metrics
  • Hysteresis
  • Noise
  • Full-field calibration
  • Interface to gom/ARAMIS- Curve matching metric
  • Hysteresis
  • Noise
  • Full-field calibration
  • Interface to gom/ARAMIS

Design Exploration and Sensitivity Studies

LS-OPT allows global approximations of the design space using meta models. These meta models may be used for
design exploration. Methods for the determination of significant variables are implemented as well.

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  • Metamodel types
  • Feedforward Neural Networks
  • Radial Basis Functions
  • Sensitivity measures
  • linear ANOVA
  • Global Sensitivity Analysis
  • Prinicipal Component Analysis

Probabilistic Analysis

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

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  • Monte Carlo Analysis
  • Robustness analysis
  • Reliability studies
  • Outlier analysis
  • Bifurcation
  • DYNAStats
  • Visualization of statistical values on Finite Element model
  • Reliabiliy Based Design Optimization/ Robust Parameter Design
  • Tolerance Optimization

Methodologies

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  • Sequential Response Surface Method
  • Genetic Algorithm
  • Classifiers

Further Information