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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

Structural Analysis of the Planing Hull for the Permare Amer 116 Super Yacht

An efficient, fully integrated and optimized logic that consisted in the coupling of different software analysis tools

The main structure of the yacht is made of composite laminates with the presence of many composite reinforcements and bonded joints. We conducted a detailed structural analysis of the entire structure and verified the structural requirements.

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