The designers of products are often compelled to make decisions under uncertain conditions, seeking solutions to problems which do not have known solutions.

These include constitutive modelling, fatigue life prediction, wear, friction, or prediction of errors of inelastic analysis of structures. With rapidly intensifying competition, it has become absolutely crucial for biomedical sciences companies to achieve shorter time-to-market, while insuring their optimal production.

In the development of a new viable car with high safety and reliability, how to design or select the componants at the lowest cost ?

We need to treat problems using the available expert knowledge, experimental data and simulation/computational tools.

The most important specificity is to make the FUSION of the data coming from various sources but also the FUSION of the parameters to be able to extract knowledges even from a very small data base.

The people at CADLM are experts in optimization of processes and formulation of material input, direct coupling with CAD Systems, optimal design of structures for random or cyclic loading, control of processes, non-destructive tests and fluid/structure interactions, civil engineering problems. They are transferring the special approach that was built at Ecole Polytechnique by J. Zarka’s team, to industries.


PRINCIPLES OF THE METHOD

In this new framework, it is needed for each particular problem:

Step 1 : building a DATABASE of examples

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, i.e. to obtain some experimental, real or simulated results where the EXPERTS indicate all variables or descriptors that may take a part.