| Medium: |
Tagungsbeitrag |
| Sprache(n): |
Englisch
|
| Tagung: |
IABSE Conference: Engineering the Past, to Meet the Needs of the Future, Copenhagen, Denmark, 25-27 June 2018 |
| Veröffentlicht in: |
IABSE Conference Copenhagen 2018 |
|
Seite(n):
|
409-415
|
Anzahl der Seiten (im PDF): |
7 |
|
|
Seite(n):
|
409-415
|
| Anzahl der Seiten (im PDF): |
7 |
| DOI: |
10.2749/copenhagen.2018.409 |
|
Abstrakt:
|
Civil infrastructure system owners are often faced with an increasingly impossible set of
management challenges. Informed decisions on timely intervention for effective bridge
maintenance activities rely on good quality, accurate and reliable asset condition data. Digital image
correlation (DIC) is a noncontact photogrammetry technique that can be used for monitoring by
imaging a bridge component periodically and computing strain and deformation from images
without traffic disruption. This paper describes the use of DIC for the monitoring of the Great Belt
Bridge wind‐induced hanger vibrations and temperature‐induced movements of the expansion
joint. Both DIC measurements provided previously unavailable data and informed next steps with
respect to the maintenance strategy. To the authors knowledge these are one of the first such
vision‐based structural health monitoring campaigns carried out on a suspension bridge.
|
|
Stichwörter:
|
Ermüdung Fahrbahnübergangskonstruktion (FÜK) Hänger
|
