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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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modeFRONTIER provides a seamless coupling with third party engineering tools, enables the automation of the design simulation process, and facilitates analytic decision making.

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CASE STUDY

Multi-Objective Optimization of a Sailing Yacht Aluminum Mast

The optimal mast weight under specific structural strength requirements

The aim of this study was to reduce the weight of the world’s tallest aluminum mast for a new series of single mast sailing yachts manufactured by Perini Navi under the brand name Salute.

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