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Visual inspection of fire-damaged concrete based on terrestrial laser scanner data / Wallace Mukupa in Applied geomatics, vol 9 n° 3 (September 2017)  

Public [article]  inApplied geomatics > vol 9 n° 3 (September 2017) . - pp 143 - 158 Titre : Visual inspection of fire-damaged concrete based on terrestrial laser scanner data Type de document : Article/Communication Auteurs : Wallace Mukupa, Auteur ; Craig M. Hancock, Auteur ; Gethin W. Roberts, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 143 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] auscultation d'ouvrage [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] incendie Résumé : (Auteur) Visual condition survey and inspection is typically the initial method employed in the assessment of concrete damaged by fire, and it is among the most significant non-destructive testing methods. In spite of visual inspection being simple in principle, it is capable of providing cardinal information about the condition of the fire-damaged structure and act as a basis upon which subsequent and detailed assessment methods can be founded. When concrete is exposed to various elevated temperatures, it undergoes change in its physical characteristics among others, and indicators such as change in surface texture, cracks, spalling and colour change become evident. These indicators of fire-damaged concrete can be assessed using visual inspection methods and further assessed with more advanced methods in a case where detailed investigations are needed. In this study, visual inspection of terrestrial laser scanner data of fire-damaged concrete was investigated by modelling and analysing laser intensity. An analysis of the generated intensity images from laser intensity data has proved useful and valuable in the visual inspection of concrete before and after heating. Furthermore, laser scanner geometric data has been used in the assessment of concrete surface roughness before and after heating. Numéro de notice : A2017-596 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s12518-017-0188-9 Date de publication en ligne : 25/04/2017 En ligne : https://doi.org/10.1007/s12518-017-0188-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86808 [article]

A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures / Wallace Mukupa in Survey review, vol 49 n° 353 (June 2017)  

Public [article]  inSurvey review > vol 49 n° 353 (June 2017) . - pp 99 - 116 Titre : A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures Type de document : Article/Communication Auteurs : Wallace Mukupa, Auteur ; Gethin W. Roberts, Auteur ; Craig M. Hancock, Auteur ; K. Al-Manasir, Auteur Année de publication : 2017 Article en page(s) : pp 99 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] déformation d'édifice [Termes IGN] détection de changement [Termes IGN] géoréférencement direct [Termes IGN] positionnement en intérieur [Termes IGN] semis de points [Termes IGN] surveillance d'ouvrage [Termes IGN] télémétrie laser terrestre [Termes IGN] traitement de semis de points Résumé : (Auteur) Change detection and deformation monitoring is an active area of research within the field of engineering surveying and other overlapping areas such as structural and civil engineering. This paper reviews the application of terrestrial laser scanning in the monitoring of structures and discusses registration and georeferencing of scan data. Past terrestrial laser scanning research work has shown trends in addressing issues such as accurate registration and georeferencing of scans, error modelling, point cloud processing techniques for deformation analysis, scanner calibration and detection of millimetre deformations. However, several issues are still open to investigation such as robust methods of point cloud processing for detecting change and deformation, incorporation of measurement geometry in deformation measurements, design of data acquisition and quality assessment for precise measurements and modelling the environmental effects on the performance of laser scanning. A three-stage process model for deformation analysis is proposed as conceptualised from the material reviewed. Numéro de notice : A2017-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/00396265.2015.1133039 En ligne : https://doi.org/10.1080/00396265.2015.1133039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84289 [article]