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Autumn 2022 | Product peek

Analyse design space data easily with Multivariate Clustering techniques for efficient decision making

by Mauro Munerato, Alessandro Viola | ESTECO
Futurities Year 19 n°3, Autumn 2022

When dealing with enormous amounts of data, analysing them is a challenging task. Clustering techniques come in handy for such data analyses.

Multivariate Analysis (MVA) refers to statistical techniques used to analyse datasets with a lot of variables to consequently identify patterns. It allows you to better understand the design space and the relationships between the variables before formulating the optimization study, making the process more efficient.

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LS-DYNA and modeFRONTIER for Material Model Calibration at Automobili Lamborghini

The main challenge is to reproduce their structural behavior by developing suitable numerical models

While the engineers relied on modeFRONTIER's capabilities, the procedure has been to calibrate the constitutive parameters of LS-DYNA's advanced material models, and to use them for prediction, design optimization and robustness analysis.

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