Sensitivity Analysis represents a major step in simulation technology, irrespective of the underlying industrial sector. It enables engineers to obtain results on model quality, i.e. it gives answers to the following questions:
· How well does the model depict the real system?
· How likely is the real system to fail?
· How do changes of model parameters affect model quality?
Modelling & Simulation often infers huge efforts in terms of costs and time, and thus significantly slows down system development. Our goal is to offer technologies to support engineering in modelling and simulation activities for documented confidence in simulation artefacts, leading to strictly mandatory quality measures for virtual system development.
Almost needless to say, system simulation always comes with uncertainties. For instance, measurement technology cannot overcome certain errors and some system parameters will always remain unknown. Our goal is to find input parameters that offer a good description of the model, keeping in mind the huge cost in time that simulation may infer.
To obtain results as soon as possible we offer a sensitivity analysis tool and service that
· generates adequate samples of input parameters
· runs simulations with given input
· performs analysis on the system, given input and simulation results and
· generates confidence reports for Modelling & Simulation engineers.
Our focus lies on correct sampling and analysis. Our methods aim to determine
· possible weaknesses in the parameters setting
· critical parameters concerning system failure and
· failure probability of the real-world system given uncertainty measures of real-world performance data.
We aim to analyse the model automatically to give hints on parameter optimization to engineers. Furthermore, we manage to identify bad system models as soon as possible and may hence identify unprofitable development steps beforehand.
We are seeking for industrial Modelling and Simulation applications where uncertainties in the model structure and model parameters are critical to the performance of related products. By the application of available Sensitivity Analysis tools and services uncertainties and confidence levels are identified for underpinning model and simulation quality measures.
Based on your industrial application, we first need to identify the required precision of the model output and hence need to estimate the distribution of the input parameters. Output data are generated by multiple simulations with data from the input sample. To keep the number of simulations small, we aim to approximate the distribution of the output. Hence, we require a thorough analysis of the model with technologies in Sensitivity Analysis (SA) that have already been proven successful in other areas. Those technologies may include python SALib package as well as cross-validation methods.
A concluding evaluation of the refined technologies in the form of a statistical experiment on the model from automotive development should lead to a publication.
The expected outcome of the experiments is further development of ideas and publication.
Aligned with the defined long-term COMET K2 research program fast-track experiments (up to 6 months) and lighthouse experiments (7-12 months) executed at VIRTUAL VEHICLE are public (co-)funded up to 50% based on a bilateral agreement.
Seed Actions for SMEs and start-ups will be free of charge.
Your application will be reviewed by our Scientific Assessment Board. The board will evaluate the applicants proposals and select proper candidates. The final number of applications being selected in each call might be different.
Only selected applications will be funded.
|Project Duration||Seed Action: first try-outs
Fast-track experiments: 1-6 months
Lighthouse experiments: 7-12 months
|Proposal Language||English, German|
|Targeting Group||Start-ups, SME, mid-caps or LEs from EU member states|
|Indicative Total Budget||Seed Action: VIRTUAL VEHICLE support is free of charge
Fast-track experiments: < 50.000 €
Light-house Experiments: < 200.000 €
If you have a promising smart idea, we are happy to receive your application.
Please use our online application form to send us your proposal and describe:
· In which technology field or discipline are you active
· Your planned application concept and its expected use
· The preliminary benefit
· The industrial relevance and potential impact of your experiment, as well as your plans for exploitation of the results and the future business outlook
Your experiments should be designed to be completed in a maximum of 6 months for fast-track experiments and a maximum of 12 months for lighthouse experiments.
Experiment proposals are very welcome from organisations located in any EU member state and must be written in English or German. Submissions done in any other language will not be evaluated.