2134/15725
David M.J. McCarthy
David M.J.
McCarthy
Jim Chandler
Jim
Chandler
Alessandro Palmeri
Alessandro
Palmeri
3-D case studies of monitoring dynamic structural tests using long exposure imagery
Loughborough University
2014
Vibration
Engineering
Monitoring
Long exposure imagery
Image processing
Close range photogrammetry
Built Environment and Design not elsewhere classified
2014-09-01 13:40:11
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/3-D_case_studies_of_monitoring_dynamic_structural_tests_using_long_exposure_imagery/9432659
Structural health monitoring uses non-destructive testing programmes to detect long-term degradation phenomena in civil
engineering structures. Structural testing may also be carried out to assess a structure’s integrity following a potentially damaging
event. Such investigations are increasingly carried out with vibration techniques, in which the structural response to artificial or
natural excitations is recorded and analysed from a number of monitoring locations. Photogrammetry is of particular interest here
since a very high number of monitoring locations can be measured using just a few images. To achieve the necessary imaging
frequency to capture the vibration, it has been necessary to reduce the image resolution at the cost of spatial measurement accuracy.
Even specialist sensors are limited by a compromise between sensor resolution and imaging frequency.
To alleviate this compromise, a different approach has been developed and is described in this paper. Instead of using high-speed
imaging to capture the instantaneous position at each epoch, long-exposure images are instead used, in which the localised image of
the object becomes blurred. The approach has been extended to create 3D displacement vectors for each target point via multiple
camera locations, which allows the simultaneous detection of transverse and torsional mode shapes. The proposed approach is
frequency invariant allowing monitoring of higher modal frequencies irrespective of a sampling frequency. Since there is no
requirement for imaging frequency, a higher image resolution is possible for the most accurate spatial measurement. The results of a
small scale laboratory test using off-the-shelf consumer cameras are demonstrated. A larger experiment also demonstrates the
scalability of the approach.