d3VIEW provides extensive capabilities to help in running large-scale design-of-experiments, sensitivity analysis and optimization for LS-DYNA simulations.
With built-in extractors for BINOUT/D3PLOT/D3HSP/EIGOUT/D3EIGV, all necessary data can be extracted in parallel and aggregated. With d3VIEW’s-ML capability that now includes regression and classification, models can be built, from the extracted data and explored further to find the the optimum values. Below are a list of supported capabilities and applications
Current Capabilities
Workflow driven HPC Job Submission to submit, extract, analyze and report | With multiple connection types available, you can connect to on-premise, AWS, AZURE, OCI clusters |
Intermediate Preview of Results | You can preview intermediate results as the simulation is progressing to view results from GLSTAT/D3PLOT/BINOUT |
Extract results and aggregate from the simulations | Extract results in parallel and aggregate data from BINOUT/D3PLOT/D3HSP |
Build model using d3VIEW-ML | Build regression models using LINEAR/POLYNOMIAL/LASSO/RIDGE/DESICION-TREE-REGRESSION |
Reporting and Sharing | Export PPT, PDF, or share a HTTP link to the results with no data-transfer |
Material calibration | Run uni-axial, shear, notch to determine the optimal failure and damage cards for *MAT_ADD_EROSION for metals. Use similar technique for foams, rubber and thermoplastics |
Airbag leakage optimization | Run a design of experiment to build a model and optimize the best leakage coefficients for Airbags |
Pedestrian protection HIC optimization | Run a full-sweep of simulations, identify opportunity target points, and optimize them to improve overall score |
Design Sensitivity for material and thickness selection for large-scale front-impact simulations | Run early stage models, to select optimum material grades and thicknesses for critical parts |
Joining calibration and selection | Select joining methods for large scale impact simulations |
