Accelerate the studies phase thanks to artificial intelligence
Orano brings together its discipline expertise and artificial intelligence to accelerate design phases and studies.
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Design phases can be costly and complex in engineering since certain designs require successive data adjustments to achieve a result compatible with expectations:
- fluid and structure mechanics,
- civil engineering,
- heat transfer,
- process,
- fire physics,
- neutronics,
- thermoelectricity.
Accelerate the studies phase and design choices are major stakes for engineering projects.
Orano is developing artificial intelligence (AI) approaches:
- Surrogate models to accelerate calculations
- Coupling surrogate models with optimisers to build creative AIs capable of managing the design.
Calculations that used to take several months of design can thus be finalised in a few hours with sufficient accuracy for the design phase.
Examples:
- Metal structure calculation,
- Reinforced concrete engineering,
- Liquid-solid two-phase agitation,
- Liquid-liquid extraction under transient conditions,
- Design optimisation,
- Critical or subcritical thicknesses,
- Safety-classified equipment.
- A diverse range of technical domains covered
- A double engineering discipline and AI skill set
- High-tech software and equipment (multi-CPU*, multi-GPU**, hundreds of TFLOPS***)
* Central Processing Unit
** Graphics Processing Unit
*** Tera Floating-point operations per second
Orano benefits from strong expertise in engineering disciplines and AI together with high-tech software and equipment (Python tools and dedicated multi-CPU and multi-GPU server, hundreds of TFLOPS).
The methods developed by Orano’s specialists and experts are validated and recognised by:
- experience and the comparison of results obtained by classical methods
- university experts in specific fields
- presentations in specialised trade shows and conferences.
Theses methods have also been presented to several congresses and workshops.
- Solid expertise between AI and engineering domains
- Reduced engineering times and associated costs
- AI optimisation of processes and design equipment
