Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 382
Articles | Volume 382
https://doi.org/10.5194/piahs-382-469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 382
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

DInSAR data assimilation for optimising maintenance at transition zones between bridges and road embankments: a numerical study

Claudio Giangreco, Arjan A. M. Venmans, and Dario Peduto

Viewed

Total article views: 1,259 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
798 408 53 1,259 84 127
  • HTML: 798
  • PDF: 408
  • XML: 53
  • Total: 1,259
  • BibTeX: 84
  • EndNote: 127
Views and downloads (calculated since 22 Apr 2020)
Cumulative views and downloads (calculated since 22 Apr 2020)

Viewed (geographical distribution)

Total article views: 1,125 (including HTML, PDF, and XML) Thereof 1,125 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Oct 2025
Download
Short summary
Transition zones between bridges and embankments are the most maintenance-prone locations in the Netherlands road network due to the very compressible soft soils present in the largest part of this country, resulting in severe differential settlements and cost impact. This study shows how to exploit both conventional and DInSAR monitoring datasets in order to forecast future settlements and assist the Road Manager in the decision making process of new maintenance operations.
Read more
Share