2019-02257 - Post-Doctoral Research Visit F/M Video-based vibration analysis applied to the monitoring of steel structures
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

A propos du centre ou de la direction fonctionnelle

Inria, the French national research institute for the digital sciences, promotes scientific excellence and technology transfer to maximise its impact.
It employs 2,400 people. Its 200 agile project teams, generally with academic partners, involve more than 3,000 scientists in meeting the challenges of computer science and mathematics, often at the interface of other disciplines.
Inria works with many companies and has assisted in the creation of over 160 startups.
It strives to meet the challenges of the digital transformation of science, society and the economy.

Contexte et atouts du poste

This work will be conducted within the H2020 DESDEMONA project (http://www.desdemonaproject.eu). Among other tasks, this project undertakes the design and implementation of data fusion techniques encompassing video images, thermography and vibration measurements. 

Mission confiée

Within the DESDEMONA project, Inria and Ifsttar are developing video-based vibration analysis, a recently emerging research topic for the monitoring of some mechanical structures. See, e.g., (Feng and Feng, 2018) for a review of this topic. Selected pixels within a video image serve as remote sensors substituting conventional in situ sensors, which usually provide vibration information for structural health monitoring (SHM), e.g., (Thons et al., 2018; Dolher et al., 2016). Different computer vision techniques have been identified from literature to extract subpixel displacements of selected targets within image sequences, e.g., (Chen J. et al., 2016). In order to further develop this new technique and to demonstrate its applicability to SHM, Inria and Ifsttar are opening a 12 month post-doctoral position. The post-doctorant will work on the design of vibration monitoring tools based on video image processing. It is expected that this work will start between March 1 and May 1, 2020.

Principales activités

The first part of the work consists in extracting motion signals from video images, which have the particularity of low sampling rate, compared to conventional mechanical sensor data. This part will benefit from an ongoing PhD study which is carried out at Inria. The second part of the work consists in designing and developing vibration analysis algorithms suitable for the processing of motion signals extracted from video images. This second part will partly rely on the experience of our team in mechanical sensor-based vibration analysis for SHM (Bhuyan et al., 2018). The post-doctorant will have to design experiments and instrumentation set-up, along with data acquisition systems and vibration data analysis. The first experimentation in this work will be to realize a demonstrator with steel cantilever beams (a vertical beam at Ifsttar, and a horizontal beam at Inria). A full scale experiment will be planned on a metallic bridge in the city of Nantes. The latter experiment will include an alternative vibration measurement technique, namely, GB-SAR as shown in (Zhang B. et al., 2018), for cross-validation purpose. The post-doctorant will be mostly working at Ifsttar-Nantes, with regular meetings at Inria-Rennes.

Keywords: structure health monitoring (SHM), vibration analysis, system identification, image processing,  data acquisition.


References.

Delwar Hossain Bhuyan, Guillaume Gautier, Nicolas Le Touz, Michael Dohler, Falk Hille, et al., Vibration-based damage localization with load vectors under temperature changes. Structural Control and Health Monitoring, Wiley- Blackwell, 2019.

Sebastian Thons, Michael Dohler, Lijia Long. On damage detection system information for structural systems. Structural Engineering International, 2018, 28 (3), pp.255-268.

Michael Dohler, Laurent Mevel, Qinghua Zhang. Fault Detection, Isolation and Quantification from Gaussian Residuals with Application to Structural Damage Diagnosis. Annual Reviews in Control, Elsevier, 2016, 42, pp.244-256.

Chen, J., (2016). Video camera-based vibration measurement of infrastructure, PhD dissertation, MIT.

Feng, D., Feng, M., (2018) Computer vision for SHM of civil engineering infrastructure: From dynamic response measurement to damage detection - A review. Engineering Structures 156, 105-117.

Zhang, B. et al., 2018. Dynamic displacement monitoring of long-span bridges with a microwave radar interferometer. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 138, pp. 252-264.

 

Compétences

Experimental practices and strong coding skills in Matlab/Python and Java/C languages are required. Knowledge in automatic control, system identification and image processing, e.g., digital image correlation (DIC) technique, as well as skills on data acquisition systems will also be highly appreciated.

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Access to vocational training
  • Social security coverage

Rémunération

Monthly gross salary amounting to 2653 euros.