LS-OPT
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LS-OPT developed by Livermore Software Technology Corp. (LSTC),
is an optimization tool that can be linked to any simulation software
and in particular links in perfectly with LS-DYNA. It 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 for solving system identification problems
and for performing stochastic analysis.
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The graphical user interface (GUI) works with the various LS-DYNA keywords
and provides the user a simple and easy way to specify optimization inputs,
monitor and control parallel simulations and post-process optimization data.
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LS-OPT is included free of charge with the LS-DYNA software.
Features:
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Optimization / DOE
LS-OPT is design to meet all requirements to solve arbitrary non-linear optimization tasks.
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
Stochastic Analysis
Direct Monte Carlo Investigations
- Estimation of Mean, Std. Deviation
- Correlation Analysis
- Confidence Intervals
- Outlier Analysis
Distribution Functions
- Normal , Uniform, Lognormal, Weibull, Beta, Binomial
- User-Defined
Reliability studies
- Determination of failure probability
- Methods: FOSM, FORM
Improvement of numerical efficiency using meta models
- Meta-Model based Monte Carlo Simulations
- Stochastic contribution analysis
- Polynomial response surfaces (linear, quadratic)
- Feed Forward Neural Networks, Radial Basis Function (RBF)
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
Other Features
Job distribution
- Facilitate the distribution of simulations running on a network
- Interface to queuing systems: PBS, LSF, LoadLeveler, AQS, SLURM, etc.
- Job progress monitoring
Viewing of
- Optimization history
- Approximation error
- Ant-hill plots
- ANOVA charts
- Stochastic results
3-D visualization of Meta-Models
- Display of Meta-Models, two selected variables v. any response
- Display of construction points for Meta-Models
- Visualization of Constraints
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For more information and to download LS-OPT please go to the
LS-OPT Support Website
LS-DYNA, LS-OPT and LS-PrePost are registered trademarks of Livermore Software Technology Corporation.
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