DInSAR data assimilation for optimising maintenance at transition zones between bridges and road embankments: a numerical study
Abstract. Transition zones between bridges and embankments are the most maintenance-prone locations in the road network of The Netherlands due to the very compressible soft soil layers that are widespread in the subsoil of the country. This aspect causes (differential) settlements at the ground surface, damage and maintenance costs for the road owner, and delays to road users. This paper provides the proof-of-concept of an innovative multi-source data-driven method based on the assimilation of both conventional settlement plate and satellite DInSAR data in numerical geotechnical modelling with... Mehr ...
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| Dokumenttyp: | Artikel |
| Erscheinungsdatum: | 2020 |
| Schlagwörter: | Netherlands / NEANIAS Atmospheric Research Community / Marketing / Organizational Behavior and Human Resource Management / Strategy and Management / Drug Discovery / Pharmaceutical Science / Pharmacology |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29181252 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://www.openaccessrepository.it/record/131677 |
Abstract. Transition zones between bridges and embankments are the most maintenance-prone locations in the road network of The Netherlands due to the very compressible soft soil layers that are widespread in the subsoil of the country. This aspect causes (differential) settlements at the ground surface, damage and maintenance costs for the road owner, and delays to road users. This paper provides the proof-of-concept of an innovative multi-source data-driven method based on the assimilation of both conventional settlement plate and satellite DInSAR data in numerical geotechnical modelling with the aim of supporting informed maintenance decisions.