POST-DOCTORAL POSITION: Development of the Digital Twin of a reconfigurable bridge with active control system
Description
Your role as a PostDoc will be to work on the development of the Digital Twin of an original bridge technology. The main specificity of that bridge is to combine modular fast-assembly technology and an active control system.
Context and problem statement
In the context of urban eco-mobility for the city of tomorrow, the Franco-Taiwanese ANR-NSTC NEMELIFT project aims to develop an agile and reconfigurable crossing technology. Based on a modular design and integrating an innovative control technology referred to as “Virtual Pier”, this innovative structure will be designed to significantly reduce installation time in comparison with assembled truss bridges with pin connections. A digital twin of the controlled bridge will be implemented to update control models throughout the whole lifetime of the bridge, to update high-fidelity models for designers, to monitor structural health of the bridge and to ensure safety requirements of this unconventional crossing structure.
Full implementation of the digital twin of the bridge requires linking the physical and digital worlds to continuously update numerical models throughout the life cycle of the bridge. Computer vision systems provide full-field non-intrusive measurement at relatively low cost and the hardware improvements over the last decade allow high speed and high-resolution acquisition. Nevertheless, the on-line dynamic characterization of large structures using computer vision-based techniques remains an ongoing challenge.
The ANR-NSTC NEMELIFT project is a Franco-Taiwanese collaborative research project aimed at developing an innovative crossing technology to address urban mobility issues in the city of tomorrow. The agility of the solution is its originality. The project brings together 4 international research laboratories specialized in vibrations and contact (ISAE-SUPMECA, France) and in active control systems for civil engineering applications (NCNU, NCKU, NCUT and NUK Taiwan), and 1 industrial partner (LOCAPAL) specialized in temporary footbridges and steel structures. It is divided into 3 technical Work Packages (WP) dedicated to the development of numerical tools for the robust design of light slender assembled structure (WP1, Leader SUPMECA), the control of the bridge deflection using continuous parameter identification (WP2, Leader NCNU) and the development of a digital twin of this innovative bridge technology (WP3, Leader SUPMECA). This PostDoc position is part of WP3.
Main expected contributions
The digital twin to be developed in the NEMELIFT project will be mainly dedicated to the updating of model and control laws and to risk assessment to ensure the highest level of safety for users. The developed DT will also address the monitoring of pedestrian flows to optimize soft transport mode networks at the city scale. The main expected contributions are:
- validation of the non-intrusive camera-based measurement system (already implemented) of the DT,
- implementation and validation of the DT’s high-fidelity model identification process (main contribution of the PostDoc),
- implementation of key indicators for risk assessment and predictive maintenance of the bridge (second main contribution of the PostDoc),
- validation of the implementation of the DT on a large-scale test performed on the 8m*8m long- stroke shaking table at the Southern Laboratory of NCREE (NCKU, Taiwan).
Profile
You have a PhD in multi-body dynamics or mechanical system identification or computer science. You have recent publications in system identification techniques, digital twin of mechanical structures or related fields.
You have demonstrated your ability to continuously learn and adapt to different technologies and research areas.
Skills and personal requirements
You have scientific and technical skills in the domains of multi-body simulation, system identification techniques or computer science.
You have strong software development experience (preferably in python or C++) and are familiar with Linux operating systems. You have an interest in applied research. You are motivated, autonomous and dynamic. You like working in a team. You are fluent in English (spoken and written).
Keywords
Digital Twin, Lightweight Bridge, multi-body system, camera-based measurement system, real time identification techniques, non-linear dynamics
Practical organization
- Funding: ANR PRCI NEMELIFT
- Duration: 12 months, starting as soon as possible before January 2025.
- Supervisors: Franck RENAUD (ISAE-Supméca), Mahieu AUCEJO (le Cnam), Martin GHIENNE (ISAE- Supméca)
- Location: the main location is ISAE-Supméca (3, rue Fernand Hainaut, 93400 Saint-Ouen-Sur Seine), regular meetings with the supervisory team at ISAE-Supméca or at Le Cnam (2 rue Conté – 75003 Paris) + regular workshops (remote or on-site) with Taiwanese partners. Short or long stays in Taiwan could be organized (subject to securing additional dedicated funding).
- The net monthly salary will be of 2600€, including half of the transport costs.
Application requirements
- Resume
- Cover letter
- PhD manuscript and Master degree records
Contacts
- Martin GHIENNE: martin.ghienne@isae-supmeca.fr
- Franck RENAUD: franck.renaud@isae-supmeca.fr
- Mathieu AUCEJO: mathieu.aucejo@lecnam.net
