Ronan Meillour develops predictive models to improve nuclear dismantling safety

Ronan Meillour, a researcher at the National Polytechnic Institute of Brittany, has developed predictive models to quantify the impact of residual laser energy in nuclear dismantling. This innovation aims to reduce thermomechanical risks associated with laser cutting operations, thereby ensuring the safety of facilities. The thesis was validated in 2025 as part of the IRDL laboratory.

Laser cutting is a common method in nuclear dismantling, but it poses risks to the safety of surrounding structures. Residual laser energy can lead to thermomechanical damage, such as cracks and breaks, compromising the integrity of facilities. Ronan Meillour has identified this scientific lock and has undertaken research to develop models capable of predicting these effects.

By combining numerical and experimental approaches, Meillour has created models that allow for anticipating the consequences of residual laser energy on materials. Although key figures are not available, this approach could transform the planning and execution of dismantling operations, thereby reducing associated risks.

The predictive models developed by Meillour represent a significant advancement for the nuclear industry, offering opportunities to improve safety and efficiency in operations. Decision-makers must consider these innovations to modernize cutting methods and reduce risk-related costs, while rigorously validating these models before their adoption.

« « My predictive models aim to quantify residual laser energy, which could significantly reduce thermomechanical risks in nuclear dismantling, » says Ronan Meillour. »

« « Access to these predictive models is crucial for decision-makers, as they help improve the safety of dismantling operations while optimizing costs, » emphasizes the Lektaris team. »