Application of Mobile Mapping System to a Cable-Stayed Bridge in Thailand.

IRI elevation mobile mapping real-time kinematic survey rutting structural health monitoring

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
08 Dec 2022
Historique:
received: 08 10 2022
revised: 30 11 2022
accepted: 03 12 2022
entrez: 23 12 2022
pubmed: 24 12 2022
medline: 27 12 2022
Statut: epublish

Résumé

Infrastructures must be inspected regularly to ensure serviceability and public safety. In the case of the Thailand expressway, 200 km of an elevated structure must be inspected once a year. Thailand expressway is an elevated reinforced concrete structure. Visual inspection for defects and structural movements such as excessive deflections, transverse movements, or settlements is a cumbersome process. Therefore, a mobile mapping 3D laser scanning (MLS) which is a high-resolution 3D laser scanner (Trimble MX-8) equipped on a vehicle, was introduced. Scanning was performed on live traffic on the expressway. From MLS, both the structure geometry and pavement point cloud data were obtained. A good agreement between elevations of the Rama XI bridge in Bangkok measured by point cloud data using MLS and by a real-time kinematic survey was obtained. The effect of mesh size on the output by MLS was investigated. It was found that a mesh size of 10 cm reduced the computational effort by 75% when compared to a mesh size of 5 cm. However, the International Roughness Index was reduced by 5%. International Roughness Index (IRI) estimated by MLS was close to the IRI values measured by the profilometer. However, a significant overestimation in the case of rutting depth was observed.

Identifiants

pubmed: 36559993
pii: s22249625
doi: 10.3390/s22249625
pmc: PMC9787703
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Philos Trans A Math Phys Eng Sci. 2007 Feb 15;365(1851):449-77
pubmed: 17255047
Sensors (Basel). 2021 Nov 13;21(22):
pubmed: 34833625
Sensors (Basel). 2022 Jun 02;22(11):
pubmed: 35684883

Auteurs

Ekarin Lueangvilai (E)

School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Pathum Thani 12120, Thailand.

Taweep Chaisomphob (T)

School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Pathum Thani 12120, Thailand.

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Classifications MeSH