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.
Applications: Design Optimization, System Identification, Stochastic Analysis
Metamodels/approx. Schemes
- A successive approximation procedure allows refinement of the solution and convergence to an optimum. The method is known as SRSM (Succcessive Response Surface Method).
- Feedforward neural networks
- Radial Basis Functions
- Polynomial response surfaces
Stochastic Analysis
- Monte Carlo analysis
- Robustness evaluation
- Meta model based Monte Carlo analysis
- Latin Hypercube sampling
- Statistic results on the FE model
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Optimization/Interfacing
- A command language forms the basis for the description of the optimization formulation and process.
- Preprocessors as for example ANSA, Hypermesh or Truegrid can be incorporated into the design cycle in order to apply shape optimization.
- A comprehensive LS-DYNA interface allows access to the ASCII binary databases. Minima, maxima and averages can be requested. Response filtering can be used.
- Mathematical expressions may be used to generate objectives or constraints by combining several responses.
- Special metal-forming criteria such as FLD have been developed.
- Simulations can be run concurrently.
- Multidisciplinary optimization can be conducted using more than one solver and more than one analysis case for each solver.
- Variable Screening through the Analysis of Variance (ANOVA)
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