Virtual test set-up

Hardware connection

Simulation

correlation

Model-based image

processing

Eikotwin Digtal Twin X2

Reality-inspired simulations

EikoTwin Digital Twin

EikoTwin Digital Twin allows the engineer to improve their simulation by making the most of their test data.

It implements "augmented simulations", which use the measured data as boundary conditions, but also allows the identification of material parameters to bring the simulation closer to the expected result.

Principle

  • Integration of test results for the validation of simulations.
  • Import of sensor measurements and direct comparison with the simulation result.

Features

  • Use of measurements to enrich the simulation model.
  • Creation of measured boundary conditions to release idealized conditions.
  • Export of a simulation model enhanced with measurement information.

Results

  • Quantification of errors due to boundary conditions.
  • Automatic identification of the simulation parameters required (materials, etc.).
  • Determination of the residual model error.

Testimonials

IRT Saint Exupery

Using EikoTwin allowed us, through augmented simulation, to correct overly idealized boundary conditions, or to isolate regions of interest. The inverse identification proposed by Digital Twin also gave very promising results for reviewing the calibration and validation processes of the models by reducing the number of tests.

Ludovic Barrière

Project manager

Applications and tutorials

Digital Image Correlation (DIC) for vibration analysis

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Digital Image Correlation (or DIC) is well-known for its static applications, but under the right circumstances, it is equally applicable to vibration testing. Here is as industrial example at Safran. As part of the development of increasingly high-performance aircraft actuators, Safran Landing Systems (SLS) must ensure the integrity of its systems during commissioning. With this…

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EIKOTWIN RELEASE NOTES – AUTUMN 2022

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The Autumn 2022 release of the EikoTwin suite is available. Discover the details of the new features! On the menu of the EikoTwin Autumn 2022 release, new features for all the software of the suite! Discover the main new features below. These improvements are also made available in EikoTwin DIC and EikoTwin Digital Twin. Feel…

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How ArianeGroup improves simulation credibility with EikoTwin and DIC

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Simulation credibility is a key aspect of the Virtual Testing concept. As the European leader in space launchers, Ariane Group participates with EikoSim in multiple Research and Development projects, including a RAPID R&D project (“MUTATION”) funded by the Direction Générale de l’Armement. This project aims at developing an industrial platform for test-simulation dialogue to meet…

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FE simulation correlation: a dedicated platform

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As an engineer, correlation of and FE simulation often requires lots of data management within Excel or with in-house python scripts. As the European leader in space launchers, Ariane Group participates with EikoSim in multiple Research and Development projects, including a RAPID R&D project (“MUTATION”) funded by the Direction Générale de l’Armement. This project aims…

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Simulation correlation with Abaqus: how far we’ve come in linking a solver to our software environment

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Need to perform correlation between an Abaqus simulation model and measurements automatically? Whether it is by developing a python script, actually using the C++ API or developing our parsers, we have experimented a lot with reading and writing formats related to this solver, whether it is to correlate displacement or deformation fields, or simply strain…

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Mechanical regularization in EikoTwin DIC

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By Lucas Angénieux, Research engineer at EikoSim In EikoTwin DIC, the calculation of displacement fields is performed on the simulation mesh. However, as this mathematical problem is by nature ill-posed, there is a mechanical regularization parameter that allows the user to add mechanical conditions to the field measurements. Contrary to most digital image correlation software, at…

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