Akselos Innovation Makes Digital Twins 1000X Faster

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While digital twin technology is getting faster thanks to edge computing, increased data processing power, and forthcoming 5G, it’s still a data-laborious process. MIT researchers spun off a company called Akselos to apply a technique that speeds physics modeling by 1000X to industrial digital twins.

The innovation improves the performance of finite element analysis (FEA) algorithms which underpin most types of physics simulations. RB-FEA, Akselos’ pioneering technology, uses

RB (reduced basis) space and can run full accuracy simulations at the system level and down to the mechanical part level, without the need for sub-models.

RB-FEA has resulted in some of the very largest (and most complex) assets on the planet and is expected to be applicable across industrial digital twins.

  • Shell discovered a faster design process for a specialized oil tanker that also reduced the number of weak points 

  • Akselos compressed what used to be a six-month workflow for analyzing Shell’s FPSO tanker boats into less than 48h

  • Other customers reduced the material in a wind turbine by 30%

  • Self-assessment of structural damage in flight by a drone or aircraft is an expected application

  • There are seemingly endless options in offshore wind

Read more from an interview in VentureBeat. 

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