Akselos provides next-generation simulation tools based on patented Reduced Basis (RB) technology from MIT:

  • Extreme speed: 1000x speedup compared to conventional FEA for linear problems
  • Large models: 100m+ degrees of freedom, model entire infrastructure in full detail
  • Fully leverages modern computational technologies (parallel computing, cloud)

Note that Akselos's RB solvers are used to accelerate linear analysis (including static, dynamic, and modal analysis, as described in the table below). In order to enable nonlinear analysis, Akselos provides a fully-featured parallel, cloud-based FEA platform. RB and FEA can be seamlessly coupled within the same model, which enables hybrid RB/FEA models that use RB in "linear regions" and FEA in "nonlinear regions". For cases which have localized nonlinearities in a large model (as often happens with localized failure analysis, for example), this approach provides a tremendous acceleration compared to solving the entire model with conventional FEA, while still providing a global analysis and ensuring that nonlinear effects are modelled in full detail.

The table below summarizes the analysis types that can be simulated within the Akselos RB-FEA and conventional FEA platform.

Analysis Type RB FEA and Coupled RB/FEA Industries

  • Steady-state linear elasticity
  • Dynamic linear elasticity
  • Modal analysis
  • Node-to-node contact analysis
  • The full range of element types (springs, beams, shells, solids)
  • Plasticity
  • Geometric nonlinearity
  • Surface-to-surface contact
  • Buckling
  • Oil & gas
  • Mining
  • Aerospace
  • Automotive
  • Construction
  • Industrial equipment

  • Frequency-domain acoustics
  • Modal analysis
  • Time-domain acoustics
  • Power systems
  • Oil & gas
  • Aerospace

  • Steady-state and dynamic linear thermal analysis
  • Nonlinear (temperature-dependent materials)
  • Construction
  • Power systems

Understand your whole system, not just part of it

Remember when you couldn’t run large simulations? - over 90% of engineers we talk to have a “maximum system size” in mind which their workstation or cluster can take. With Akselos, those limits are gone. Our solvers use cutting edge algorithms and technology developed at MIT & DoD, to model large, complex systems. We are based on industrial scale HPC clusters so that we can scale to any system size you might need. All this means that you no longer have to simulate your model piece-by-piece.

When it comes to big decisions, details matter

Get the details right with high resolution simulations - simulations should accurately reproduce the system behavior at all levels. To understand failure modes of a system, you have to look at its weakest link in full detail. Our Reduced Basis simulations use fully meshed components, and we take great care in modeling the relevant system behavior in detail.

Think, change, solve, repeat. All within seconds

Engineering design requires focus. We build tools that enable you to stay engaged in the the task at hand by providing answers in seconds. The Reduced Basis algorithms used at Akselos are often a hundred times faster than FEA, but we go further: massively parallel clusters are used at the back-end to further accelerate solve time and post-processing. We understand that great engineering requires great tools.

FEA at your fingertips when you need it

Tried and tested - when it comes to your final design validation, we want you to feel comfortable. Any system built with Akselos’ software can be run with full FEA on Akselos’ cloud-based platform. It takes more time, but it also provides advanced features that are not available with Reduced Basis simulations, such as nonlinear structural analysis, buckling analysis, friction, and contact modeling.