Enlarge the image
Matthieu DIAZ

From

Timetable to

Place Room 1Z18 - ENS Paris-Saclay

Thesis defence : Matthieu Diaz

PhD student in the STAN team

Add to the calendar

Numerical framework for data-driven model-based monitoring of dynamical systems - Application to earthquake engineering problems

The EMSI laboratory (CEA Saclay) is equipped with shaking tables that allow to assess the seismic performance of civil engineering constructions. The control laws of the hydraulic ac- tuators that drive them do not directly integrate the health condition of the tested structures, which can suddenly deteriorate and lead to unstable tests. If so, the integrity of the experimental setup is threatened.
This thesis work aims to develop a data as- similation framework unified around the concept of modified Constitutive Relation Error (mCRE), in which a digital twin of the tested specimen is used to adapt control laws on-the-fly. First, a fully- automated mCRE-based finite element model up- dating strategy is implemented in an offline context in order to perform robust and accurate parameter identification. The methodology has then been
extended to online data assimilation by integrating the mCRE within a Kalman filter (MDKF).
All numerical developments have been vali- dated with simulated data from earthquake engineering problems, and successfully applied to the SMART2013 test campaign database. The possibility to monitor in real-time the modal signature of a reinforced concrete specimen from actual acceleration measurements illustrated the relevance and robustness of the proposed strategy.
Eventually, the adaptive control issue has been addressed via a proof-of-concept in which a state- feedback command has been tuned in real-time with MDKF to stabilize simulated shaking table tests. This dynamical data-to-model interaction thus paves the way of future investigations for hybrid control strategies and new physics-guided structural health monitoring techniques.

 

Composition of the jury :

  • Etienne Balmès - Professor - ENSAM, PIMM (Rapporteur)
  • Stefano Mariani - Associate Professor - Politecnico di Milano (Rapporteur)
  • Eleni Chatzi - Associate Professor - ETH Zürich, IBK (Examiner)
  • Elias Cueto - Professor - Universidad de Zaragoza (Examiner)
  • Pierre Feissel - Professor - UTC, Roberval Laboratory (Examiner)
  • Mathieu Corus - Expert Research Engineer - EDF R&D (Examiner)
  • Ludovic Chamoin - Professor - LMPS, ENS Paris-Saclay, IUF (Thesis supervisor)
  • Pierre-Etienne Charbonnel - Research Engineer - CEA Saclay, EMSI Laboratory (Co-Supervisor)