| dc.contributor.author |
Capitão, R.
|
pt_BR |
| dc.contributor.author |
Lemos, R.
|
pt_BR |
| dc.contributor.author |
Fortes, C. J. E. M.
|
pt_BR |
| dc.contributor.author |
Jónatas, R.
|
pt_BR |
| dc.date.accessioned |
2023-11-24T15:55:35Z |
pt_BR |
| dc.date.accessioned |
2024-03-05T15:24:17Z |
|
| dc.date.available |
2023-11-24T15:55:35Z |
pt_BR |
| dc.date.available |
2024-03-05T15:24:17Z |
|
| dc.date.issued |
2023-09 |
pt_BR |
| dc.identifier.citation |
https://www.scacr2023.org/files/downloads/SCACR2023-abstract-book.pdf |
pt_BR |
| dc.identifier.uri |
https://repositorio.lnec.pt/jspui/handle/123456789/1016853 |
|
| dc.description.abstract |
Damage progression in wave-exposed physical models of rubble-mound breakwaters can be assessed using two methods: traditional quantification of armor element movements or newer approaches involving non-intrusive surveys, utilizing photogrammetry, RGB sensors, Time of Flight depth sensors, and LiDAR laser scanning sensors to determine eroded volumes and depths between consecutive armor layer surveys. These techniques allow for the creation of three-dimensional surface models with varying accuracy, depending on survey conditions and post-processing methodologies. The performance, suitability, and usability of these techniques in assessing damage progression are comparatively evaluated. Furthermore, the advantages and disadvantages of each technique are identified, and a sensitivity analysis is presented for each one. |
pt_BR |
| dc.language.iso |
eng |
pt_BR |
| dc.publisher |
Yildiz Technical University |
pt_BR |
| dc.rights |
restrictedAccess |
pt_BR |
| dc.subject |
Physical modeling |
pt_BR |
| dc.subject |
Surveys |
pt_BR |
| dc.subject |
3D reconstruction |
pt_BR |
| dc.subject |
Damage quantification |
pt_BR |
| dc.title |
Assessment of 3D reconstruction techniques in physical models |
pt_BR |
| dc.type |
workingPaper |
pt_BR |
| dc.description.pages |
70-70pp |
pt_BR |
| dc.identifier.local |
Istanbul, Turkey |
pt_BR |
| dc.description.sector |
DHA/NPE |
pt_BR |
| dc.identifier.conftitle |
SCACR2023 - 10th Short Course/Conference on Applied Coastal Research |
pt_BR |
| dc.contributor.peer-reviewed |
NAO |
pt_BR |
| dc.contributor.academicresearchers |
NAO |
pt_BR |
| dc.contributor.arquivo |
NAO |
pt_BR |