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Workpackage 1 - Optimal non-destructive evaluation & control

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Manufacturing and maintenance in operating conditions of more and more complex structures, systems and items, lead to reach beyond the limits of existing sensors and methodologies for non-destructive evaluation (NDE) and control. One of the challenges in the factory of the future framework is to ensure the integrity of manufacturing processes or operational systems. To reach this request, the material properties measurements and the defects detections should be done in situ to be used for real time decision making and process control. To meet these issues, this workpackage proposes the development and the implementation of methodologies for NDE and multi physical/multiscale control which can automatically be adapted to the types of materials and structures and their possible damages. The challenge is focused on huge measurement conditions ranges and experimental constraints. To overcome this challenge, the workpackage is organized through two complementary scientific objectives:

  • The development of new sensors and new methodologies for field generation or control and innovative measurements that provide solutions to break down barriers concerning multiscale, multi-physical and in situ characterization of complex geometries and heterogeneous materials.
  • For the non-destructive control, the development of new methodologies for fusion of heterogeneous data, prediction, and control. Thus, the prediction of future dynamical process states will enable early and optimal detection of damages in order to correct the processes, the models, or the approaches and tools developed for the optimization of the developed methodologies.

Priority topics and actions

  • Real-time identification and control
  • Remotely controlled transducers for structural health monitoring of complex and sensible structures
  • Generation and control of fields for multi-physical and multi-scale non-destructive evaluation

Examples of other topics and actions of interest

  • Flexible organic piezo-electric sensors and actuators for non-destructive evaluation
  • Embedded sensors and actuators for real-time monitoring of materials and structures
  • Non-Destructive Evaluation and artificial intelligence for optimal prediction and control
  • Internet of things and artificial intelligence for optimal predictive maintenance of smart structures and infrastructures


  • Zoubir Mehdi SBARTAI

    I2M laboratory

  • Stéphane VICTOR

    IMS laboratory