ENGINEERING
SIMULATION
TECHNOLOGY

Used for the largest and most complex assets on the planet, and validated by some of the largest companies in the energy sector, Akselos provides the world’s fastest and most advanced engineering simulation technology.

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Our Technology

TECHNOLOGY FOR INNOVATORS

HOLISTIC AND DETAILED MODELING

Akselos patented algorithms enable fully detailed modeling of entire assets.
Conventional simulation (based on FEA) does not scale well to large and/or complex models which have many “FEA degrees of freedom.” As a result, engineers have developed work-arounds for large-scale models based on coarse modeling or submodeling, which inherently sacrifice accuracy. With Akselos’ advanced reduced basis modeling technology, we enable holistic and detailed modeling of large scale and/or highly complex systems, so that engineers no longer need to sacrifice accuracy in order to perform their analysis. Holistic and high fidelity modeling is also the foundation of Akselos’ Digital Twin platform – a single model that incorporates the current (as is) and future (as could be) conditions of the asset. Full scale system modeling also allows to remove unwanted conservatism from analysis workflow.

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SPEED

Akselos enables detailed, large-scale models to be solved 100 to 10,000 faster than conventional methods.
This enables Akselos Digital Twins to run simulations fast enough to “keep up” with operations, or to run complete standards-based assessments involving thousands of load cases – such as full spectral fatigue analysis of an offshore structure in the as-is state – within an hour. This speed is critical during operations so that insights from the Digital Twin can be obtained quickly enough (real time if required) to inform operational decisions.

speed-simulation-technology

DATA INTEGRATION

Akselos physics based Digital Twins are evergreen models of critical assets, that can be driven by sensors. Open cloud architecture allows for seamless connectivity to various data sources and automation of engineering simulations and assessments.
Results from live simulations can be accessed on web via dedicated dashboards, delivered to third party visualization software or connected directly to asset control systems.

akselos-simlab-series

STANDARDS COMPLIANCE

Akselos’ Digital Twins are based on first principles of physics, which means that the outputs can be used directly within workflows based on engineering standards.
Unlike purely data driven approaches, Akselos’ simulation technology is fundamentally a physics-based method, which is formulated in terms of the same mesh-based approach as standard FEA. This means that all of the standards for structural analysis that rely on FEA apply directly to Akselos Digital Twins. Akselos software can be used to assess fitness-for-purpose and risk-based inspection of critical assets in full conformance with engineering standards.

pv-simulation-technology

HOLISTIC AND DETAILED MODELING

Akselos patented algorithms enable fully detailed modeling of entire assets.
Conventional simulation (based on FEA) does not scale well to large and/or complex models which have many “FEA degrees of freedom.” As a result, engineers have developed work-arounds for large-scale models based on coarse modeling or submodeling, which inherently sacrifice accuracy. With Akselos’ advanced reduced basis modeling technology, we enable holistic and detailed modeling of large scale and/or highly complex systems, so that engineers no longer need to sacrifice accuracy in order to perform their analysis. Holistic and high fidelity modeling is also the foundation of Akselos’ Digital Twin platform – a single model that incorporates the current (as is) and future (as could be) conditions of the asset. Full scale system modeling also allows to remove unwanted conservatism from analysis workflow.

digital-twins-technology

SPEED

Akselos enables detailed, large-scale models to be solved 100 to 10,000 faster than conventional methods.
This enables Akselos Digital Twins to run simulations fast enough to “keep up” with operations, or to run complete standards-based assessments involving thousands of load cases – such as full spectral fatigue analysis of an offshore structure in the as-is state – within an hour. This speed is critical during operations so that insights from the Digital Twin can be obtained quickly enough (real time if required) to inform operational decisions.

digital-twins-technology-2

DATA INTEGRATION

Akselos physics based Digital Twins are evergreen models of critical assets, that can be driven by sensors. Open cloud architecture allows for seamless connectivity to various data sources and automation of engineering simulations and assessments.
Results from live simulations can be accessed on web via dedicated dashboards, delivered to third party visualization software or connected directly to asset control systems.

digital-twins-technology-3

STANDARDS COMPLIANCE

Akselos’ Digital Twins are based on first principles of physics, which means that the outputs can be used directly within workflows based on engineering standards.
Unlike purely data driven approaches, Akselos’ simulation technology is fundamentally a physics-based method, which is formulated in terms of the same mesh-based approach as standard FEA. This means that all of the standards for structural analysis that rely on FEA apply directly to Akselos Digital Twins. Akselos software can be used to assess fitness-for-purpose and risk-based inspection of critical assets in full conformance with engineering standards.

digital-twins-technology-4

Highlight

NEXT GENERATION
SIMULATION TECHNOLOGY

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REDUCED BASIS FEA PATENTED ALGORITHM (RB-FEA)

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Reduced Basis Finite Element Analysis (RB-FEA) enables 100x larger-scale and 100x to 10,000x faster analysis than FEA for large models. This makes it possible to create a fully detailed 3D virtual model of your complete structure (regardless of the size), without sacrificing accuracy.

COMPONENT-BASED ARCHITECTURE

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Add, remove, replace components to efficiently modify and re-analyze large and small models. Change parameters in components to incorporate new data, or “what if” scenarios.

CLOUD BASED APPLICATIONS

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Our models live on the cloud. They are accessible from anywhere in the world, and at any time, enabling your organisation to collaborate more effectively. Scalable cloud computing also supports the rapid mapping of a design space or produces rich, physics based data sets to augment the predictive capabilities of conventional digital twins.

DECISION SUPPORT SYSTEM

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Automated report generation based on industry standards that provide decision support for operational decision-making, e.g. fitness-for-service of critical assets, risk-based inspection planning, asset fatigue accumulation based on up-to-date sensor measurements, etc.

HYBRID SOLVER

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Solve large-scale nonlinear problems via Akselos’ Hybrid Solver, which couples FEA and RB-FEA in one analysis. This provides a “best of both worlds” approach to nonlinear analysis: the accuracy and flexibility of FEA for nonlinear analysis, and RB-FEA acceleration to regions of the model in which there is no nonlinear behavior.

Highlight

NEXT GENERATION
SIMULATION TECHNOLOGY

REDUCED BASIS FEA PATENTED ALGORITHM (RB-FEA)

ic_circle_check.e36b4ea3

Reduced Basis Finite Element Analysis (RB-FEA) enables 100x larger-scale and 100x to 10,000x faster analysis than FEA for large models. This makes it possible to create a fully detailed 3D virtual model of your complete structure (regardless of the size), without sacrificing accuracy.

COMPONENT-BASED ARCHITECTURE

ic_circle_check.e36b4ea3

Add, remove, replace components to efficiently modify and re-analyze large and small models. Change parameters in components to incorporate new data, or “what if” scenarios.

CLOUD BASED APPLICATIONS

ic_circle_check.e36b4ea3

Our models live on the cloud. They are accessible from anywhere in the world, and at any time, enabling your organisation to collaborate more effectively. Scalable cloud computing also supports the rapid mapping of a design space or produces rich, physics based data sets to augment the predictive capabilities of conventional digital twins.

DECISION SUPPORT SYSTEM

ic_circle_check.e36b4ea3

Automated report generation based on industry standards that provide decision support for operational decision-making, e.g. fitness-for-service of critical assets, risk-based inspection planning, asset fatigue accumulation based on up-to-date sensor measurements, etc.

HYBRID SOLVER

ic_circle_check.e36b4ea3

Solve large-scale nonlinear problems via Akselos’ Hybrid Solver, which couples FEA and RB-FEA in one analysis. This provides a “best of both worlds” approach to nonlinear analysis: the accuracy and flexibility of FEA for nonlinear analysis, and RB-FEA acceleration to regions of the model in which there is no nonlinear behavior.

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READ MORE ABOUT OUR TECHNOLOGY

offshore-wind-farm

Component-Based Reduce Basis for Symmetric Eigenproblems

Akselos’ hybrid solver enables nonlinear analysis by tightly coupling RB-FEA and conventional FEA within a single global model.

Read More
big-offshore-windfarm-with-transfer-vessel-picture-id1138600688

RB-FEA-Based Digital Twin for Structural Integrity Assessment of Offshore Structures

Akselos’ hybrid solver enables nonlinear analysis by tightly coupling RB-FEA and conventional FEA within a single global model.

Read More
offshore-oil-rig-picture

Predictive Digital Twins for Structural Integrity Management and Asset Life Extension

We provide eigenvalue error estimators and numerical results to demonstrate our approach’s accuracy, flexibility and computational efficiency.

Read more
technology-artificial-intelligence-concept-picture

Component-Based Reduce Basis Simulations

Akselos’ hybrid solver enables nonlinear analysis by tightly coupling RB-FEA and conventional FEA within a single global model.

Read More

READ MORE ABOUT OUR TECHNOLOGY

offshore-wind-farm

Component-based reduce basis for symmetric eigenproblems

We provide eigenvalue error estimators and numerical results to demonstrate our approach’s accuracy, flexibility and computational efficiency.

Read more
big-offshore-windfarm-with-transfer-vessel-picture-id1138600688

RB-FEA-Based Digital Twin for Structural Integrity Assessment of Offshore Structures

RB-FEA technology is about 1000 times faster than conventional finite element analysis (FEA) at analysing assets, without compromising accuracy.

Read more
offshore-oil-rig-picture

Predictive Digital Twins for Structural Integrity Management and Asset Life Extension

We provide eigenvalue error estimators and numerical results to demonstrate our approach’s accuracy, flexibility and computational efficiency.

Read more
technology-artificial-intelligence-concept-picture

Component-Based Reduced Basis Simulations

Akselos’ hybrid solver enables nonlinear analysis by tightly coupling RB-FEA and conventional FEA within a single global model.

Read more

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