ASSESS Insight Webinar

Simulation of Large Scale Assets Using Reduced Order Models

Thursday 18 April 2024 | Online

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NAFEMS Assess Initiative

Akselos provides Digital Twins of industrial equipment in a range of industries, including energy (oil & gas, wind hydro), marine, mining, chemicals, and aerospace. The Akselos platform is based on RB-FEA, which is a unique combination of the Reduced Basis method for fast and accurate reduced order modeling of parametrized PDEs and a domain decomposition framework that enables large-scale component-based analysis. RB-FEA has similarities to supervised machine learning (ML), in which "full order" solutions are used as the "supervisor" during RB-FEA training. In this presentation we discussed the similarities and differences between RB-FEA compared to other ML methods, and demonstrate applications of the RB-FEA methodology to industrial Digital Twins.

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