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Projects / Programmes source: ARIS

High-speed-camera based high-spatial-density sensing of 3D vibrations with applications in digital-twins and remote sensing

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Research activity

Code Science Field Subfield
2.05.04  Engineering sciences and technologies  Mechanics  Construction mechanics 

Code Science Field
T210  Technological sciences  Mechanical engineering, hydraulics, vacuum technology, vibration and acoustic engineering 

Code Science Field
2.03  Engineering and Technology  Mechanical engineering 
Keywords
experimental modal analysis, high speed camera, multi-view, stitching
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (16)
no. Code Name and surname Research area Role Period No. of publications
1.  50583  PhD Matic Arh  Computer intensive methods and applications  Junior researcher  2019 - 2021  15 
2.  53773  PhD Tibor Barši Palmić  Mechanical design  Researcher  2020 - 2022  15 
3.  02034  PhD Miha Boltežar  Mechanical design  Researcher  2019 - 2022  1,239 
4.  25798  PhD Gregor Čepon  Mechanical design  Researcher  2019 - 2022  422 
5.  21236  PhD Primož Čermelj  Mechanics  Researcher  2019 - 2021  49 
6.  32073  PhD Martin Česnik  Mechanical design  Researcher  2019 - 2022  133 
7.  39358  PhD Domen Gorjup  Mechanical design  Researcher  2019 - 2022  27 
8.  13733  Ciril Kavčič  Mechanical design  Researcher  2019 - 2022  4 
9.  20014  Boštjan Kobal  Manufacturing technologies and systems  Researcher  2019 - 2022  0 
10.  52247  PhD Miha Kodrič  Mechanical design  Researcher  2020 - 2022  21 
11.  53721  Teja Pirnat    Technical associate  2021  0 
12.  23010  PhD Janko Slavič  Mechanical design  Head  2019 - 2022  651 
13.  36405  PhD Blaž Starc  Mechanics  Researcher  2019 - 2021  81 
14.  33438  PhD Jan Škofic  Mechanical design  Researcher  2019 - 2022  11 
15.  51176  PhD Klemen Zaletelj  Mechanical design  Researcher  2019 - 2022  20 
16.  54380  Aleš Zorman  Mechanical design  Researcher  2020 - 2022  10 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  29,252 
2.  3184  ISKRA MEHANIZMI d.o.o. (Slovene)  Zgornji Brnik  6025498  163 
Abstract
In mechanical engineering validation of digital models (i.e. digital-twins) requires experimental measurements. 3D dynamics response with high spatial density is hard to measure and requires multi-channel simultaneous measurements, long-lasting and expensive preparation. Using hundreds of accelerometers still results in relatively low spatial-density of experimental data. A non-contact, high spatial-density, high accuracy and fast 3D dynamic response measurement approach is not available today. The grand challenge of this research is to develop a new method for fast 3D vibration response measurement which will be non-contact, will have high-accuracy and will provide high spatial-density.  The grand challenge will approached using 3 research objectives: · RO1: Theoretical development of the hybrid frequency domain triangulation method. This RO will be reached by developing a multi-view extension to the hybrid modal identification method which will include frequency domain triangulation (camera calibration will be based on a digital 3D model which will be later in digital-twin model updating)   · RO2: Implementation of automatic masking of moving objects in the high-speed camera footage. The information in the background of the high-speed footage which is not vibrating (e.g. moving truck on a bridge) will be automatically masked. Due to the automated masking the identification of 3D deflection shapes in real-life environments will be possible and enable advanced model updating and vibration monitoring.   · RO3: Development of high-accuracy, high spatial-density model updating for rapid prototyping. With the high-accuracy, high spatial-density deflection shapes (RO1, RO2) will be related to the sensitivity and Bayesian based model updating techniques. It is expected that the proposed model updating technique will show the spatial uncertainty of the model updating; consequently, the rapid-updating will also provide statistical measure of certainty.   This research proposal addresses the latest ERTRAC Strategic research agenda and is related to two of the proposed research topics: the improved efficiency due to weight reduction and the development of “digital-twins” to enable rapid optimization of next generation vehicles. Furthermore, this research challenge addresses also the challenges in vibration monitoring of bridges which is, with regards to the recent catastrophic collapses of bridges, one of the mayor safety issues in EU and US. The planned direct impact of this project: two PhD students will be trained, three laboratory and two industrial real-life experiments, three submissions to first class scientific journals (with open-access option). Further, the research will have a direct applied impact in rapid-prototyping effort of the industrial based partnering research institution. The new 3D experimental vibration identification method will (due to the high spatial density, high resolution and the fast 3D identification) have a significant scientific impact on the development of the rapidly developing scientific field of high-speed camera based experimental modal analysis and model updating. Further, as the new method will enable accurate, fast, dense and remote vibration monitoring it will open new possibilities for real-time remote 3D vibration monitoring of civil structures (e.g. bridges and wind turbines).
Significance for science
This research proposal addresses the latest ERTRAC (European Road Transport Research Advisory Council) Strategic research agenda[1], Input to 9th EU Framework Program (Mar 2018) where 5 research topics are in focus for the period in 2020-30. This research proposal is related to two of the proposed research topics: the improved efficiency due to weight reduction and the development of “digital-twins” to enable rapid optimization of next generation vehicles. Furthermore, this research challenge addresses also the challenges in vibration monitoring of bridges which is, with regards to the recent catastrophic collapses of bridges[2], one of the mayor safety issues in EU and US. The planned direct impact of this project: two PhD students will be trained,  three laboratory and two industrial real-life experiments, at least three submissions to first class scientific journals (with open-access option). Further, the research will have a direct applied impact in rapid-prototyping effort of the industrial based partnering research institution.    The new 3D experimental vibration identification method presents a disruptive technology and has the potential to partially or fully replace 3D scanning lasers. The reasons are in the high spatial density, high resolution and the fast and simultaneous 3D identification. The project results will have a significant scientific impact on the development of the scientific field of high-speed camera based experimental modal analysis and model updating. Further, as the new method will enable accurate, fast, dense and remote vibration monitoring it will open new possibilities for real-time remote 3D vibration monitoring of civil structures (e.g. bridges and wind turbines). [1] http://www.ertrac.org/uploads/documentsearch/id52/ERTRAC-Strategic-Research-Agenda-SRA-2018.pdf [2] 2018: Genoa Bridge Collapse (43 dead),Pedestrian bridge in Miami (6 dead).
Significance for the country
This research proposal addresses the latest ERTRAC (European Road Transport Research Advisory Council) Strategic research agenda[1], Input to 9th EU Framework Program (Mar 2018) where 5 research topics are in focus for the period in 2020-30. This research proposal is related to two of the proposed research topics: the improved efficiency due to weight reduction and the development of “digital-twins” to enable rapid optimization of next generation vehicles. Furthermore, this research challenge addresses also the challenges in vibration monitoring of bridges which is, with regards to the recent catastrophic collapses of bridges[2], one of the mayor safety issues in EU and US. The planned direct impact of this project: two PhD students will be trained,  three laboratory and two industrial real-life experiments, at least three submissions to first class scientific journals (with open-access option). Further, the research will have a direct applied impact in rapid-prototyping effort of the industrial based partnering research institution.    The new 3D experimental vibration identification method presents a disruptive technology and has the potential to partially or fully replace 3D scanning lasers. The reasons are in the high spatial density, high resolution and the fast and simultaneous 3D identification. The project results will have a significant scientific impact on the development of the scientific field of high-speed camera based experimental modal analysis and model updating. Further, as the new method will enable accurate, fast, dense and remote vibration monitoring it will open new possibilities for real-time remote 3D vibration monitoring of civil structures (e.g. bridges and wind turbines). [1] http://www.ertrac.org/uploads/documentsearch/id52/ERTRAC-Strategic-Research-Agenda-SRA-2018.pdf [2] 2018: Genoa Bridge Collapse (43 dead),Pedestrian bridge in Miami (6 dead).
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