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3D reconstruction of existing concrete bridges using optical methods
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand. Northern Research Institute - NORUT, Narvik, Norway.ORCID-id: 0000-0001-9423-7436
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.ORCID-id: 0000-0001-7799-5809
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.ORCID-id: 0000-0002-5154-7044
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.ORCID-id: 0000-0002-0560-9355
2019 (engelsk)Inngår i: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 15, nr 7, s. 912-924Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Routine bridge inspections usually consist of visual observations. These inspections are time-consum-ing and subjective. There is a need to identify new inspection techniques for infrastructure that reducetraffic disturbance, and improve the efficiency and reliability of the acquired data. This study comparedthe performance of three different imaging technologies for the three-dimensional (3D) geometricmodeling of existing structures: terrestrial laser scanning, close-range photogrammetry, and infraredscanning. Each technology was used to assess six existing concrete railway bridges. The technologieswere compared in terms of geometric deviations, visualization capabilities, the level of the inspector’sexperience, and degree of automation. The results suggest that all methods investigated can be usedto create 3D models, however, with different level of completeness. Measurements such as spanlength, deck widths, etc. can be extracted with good accuracy. Although promising, a full off-siteinspection is currently not feasible as some areas of the bridges were difficult to capture mainly dueto restricted access and narrow spaces. Measurements based on terrestrial laser scanning were closerto the reality compared to photogrammetry and infrared scanning. The study indicates the no specialtraining is needed for photogrammetry and infrared scanning to generate a 3D geometric model.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2019. Vol. 15, nr 7, s. 912-924
Emneord [en]
3D geometric modeling, terrestrial laser scanning, photogrammetry, infrared scanning, bridge inspection, remote sensing
HSV kategori
Forskningsprogram
Byggkonstruktion
Identifikatorer
URN: urn:nbn:se:ltu:diva-73644DOI: 10.1080/15732479.2019.1594315ISI: 000466668000001Scopus ID: 2-s2.0-85064494122OAI: oai:DiVA.org:ltu-73644DiVA, id: diva2:1304891
Merknad

Validerad;2019;Nivå 2;2019-07-12 (johcin)

Tilgjengelig fra: 2019-04-15 Laget: 2019-04-15 Sist oppdatert: 2019-07-12bibliografisk kontrollert

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