DC05 Alina Suchkova - BAM

To allow for the safety of critical infrastructure in civil engineering such as bridges and beyond, health monitoring with permanently installed sensors is needed and therefore developed in the project EU MC ITN USES2. Specifically, developing new advanced mechanical wave imaging methods will serve as a powerful diagnostic tool to detect heterogeneities in solid media. Established imaging methods from non-destructive evaluation (NDE) and geophysics are often limited to simple geometries and insufficient resolution. Full waveform-based methods, such as Full Waveform Inversion (FWI), Time Reversal (TR) methods and Reverse Time Migration (RTM) have recently emerged in NDE. They can be applied to measurement technologies such as acoustic emission, active ultrasonic monitoring (using coda waves) and ultrasonic echo imaging, using active sources, ambient noise or signals from cracking events. All of these methods require full wavefield simulations. Therefore, they could be performd in a unified framework. This can be based on ongoing research performed at BAM and its partner institutions. A combination of these advanced imaging methods, which are up to now operated separately, will open the path to an enhanced localisation, chracterisation and quantification of events and features.

Keywords: Ultrasonic imaging, acoustic wavefield, monitoring, quality assurance, active and passive sensing  

Research fields: Measurement technology, sound technology, civil engineering and earth science

Click here to watch Alina introduce herself as well as her PhD subject.

BAM (Berlin, Germany)

Bundesanstalt für Materialforschung und - prüfung

36 months
From 01.09.2023 to 31.08.2026

BAM (Berlin, Germany)

Bundesanstalt für Materialforschung und - prüfung

Stay tuned...

The main objective is to overcome inherent limitations of active ultrasonic monitoring (such as Full Waveform Inversion FWI, Coda Wave Interferometry CWI) and passive Acoustic Emission (AE) techniques by combining these innovative, full wave-equation-based technologies for the first time within a single framework to allow for the acoustic imaging of the interior of engineered objects for quality assurance, inspection and monitoring. A joint simulation framework for active and passive measurement data will be set up; also, an  integrated, iterative imaging procedure for active and passive ultrasonic data will be developed with: (1) an imaging method for active data, e.g. based on FWI, resulting in an optimised velocity model; (2) Reverse Time Migration (RTM) for imaging the structural interior; (3) a CWI imaging method for temporal changes in the medium, based on a sensitivity kernel from full waveform simulations using information from (1) and (4); and (4) an inverse imaging for AE data based on simulated wave propagation (Time Reversal, TR), using information from (1) and (3). All these methods use simulations of the wave propagation inside the object; they will generate the best possible input models to derive the most reliable output models. The combination of these techniques (1)-(4) will provide comprehensive assessments of ongoing processes, such as degradation in a structure, by providing beneficial updates and interconnections among the techniques, thus allowing detailed 3D images, and at best in near real time. All these procedures will be adapted to the sensors/instrumentation developed within the project as well as tested and validated on case studies provided by by other doctoral students in USES2.

  1. Deliver highly consistent and accurate images of structures and changes by using information included in the full wave field of active and passive ultrasonic technologies
  2. Modular generic framework for the simulation and imaging of complex engineering structures based on open software
  3. Proof of the framework in form of tests on a demonstrator made of concrete
  4. Framework interface for application on other materials and structures, e.g. composites or additive manufacturing.
  • IZFP, Florian Römer, 2 months, M11-M12: Algorithms for data compression, integration to sensors.
  • UPM, Antonio Fernandez-Lopez, 2 months, M18-M19: Training on optical fibre and embedded sensors in other industries.
  • Zensor, Yves Van Ingelgem, 2 months, M27-M28: Training in actual SHM installations

Contact

Contact

DC05 Alina Suchkova

alina.suchkova@bam.de

Contact

Local academic supervisor Vera Lay

vera.lay@bam.de

Contact

Industrial co-supervisor Yves Van Ingelgem

yves.van.ingelgem@zensor.be

Contact

PhD supervisor Ernst Niderleithinger

ernst.niederleithinger@bam.de