Computertomographic investigation of steel fibre reinforced sprayed concrete using multi-dimensional transfer functions [Computertomografische Untersuchung von Stahlfaserspritzbeton mit mehrdimensionalen Transferfunktionen]

Handle URI:
http://hdl.handle.net/10754/561792
Title:
Computertomographic investigation of steel fibre reinforced sprayed concrete using multi-dimensional transfer functions [Computertomografische Untersuchung von Stahlfaserspritzbeton mit mehrdimensionalen Transferfunktionen]
Authors:
Pittino, Gerhard; Geier, Georg F.; Fritz, Laura; Hadwiger, Markus ( 0000-0003-1239-4871 ) ; Rosc, Joerdis; Pabel, Thomas
Abstract:
The composite material steel fibre reinforced concrete or steel fibre reinforced sprayed concrete (SFRS) is widely used in geotechnics. For the modelling of the mechanical behaviour the knowledge of the distribution and orientation of the fibres in the concrete is of particular importance. For a bachelor thesis the steel fibres in drill cores were investigated by computed tomography (CT) at the Austrian Foundry Research Institute (ÖGI). The orientation of each fibre was calculated using a STL-interface and further software tools. The results were statistically evaluated and graphically represented using Schmidt's net. This time consuming (expensive) method was automated by a post-processing of VRVis. With that tool the steel fibres in the sample can be explored, classified and visually examined in real-time regarding their orientation in two angles. Different possibilities of statistical evaluation can be implemented. A real-time direction sphere histogram (DSH), comparable to Schmidt's net in 3D allows the user to recognise the distribution of orientations of the selected fibres at a glance. The colour-coding of the different orientations is also used for the 3D-volume-view of the fibres, to easily identify the spatial distribution of orientations in the SFRS sample. © 2011 Ernst & Sohn Verlag für Architektur und technische Wissenschaften GmbH & Co. KG, Berlin.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC)
Publisher:
Wiley-Blackwell
Journal:
Beton- und Stahlbetonbau
Issue Date:
Jun-2011
DOI:
10.1002/best.201100009
Type:
Article
ISSN:
00059900
Appears in Collections:
Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPittino, Gerharden
dc.contributor.authorGeier, Georg F.en
dc.contributor.authorFritz, Lauraen
dc.contributor.authorHadwiger, Markusen
dc.contributor.authorRosc, Joerdisen
dc.contributor.authorPabel, Thomasen
dc.date.accessioned2015-08-03T09:04:43Zen
dc.date.available2015-08-03T09:04:43Zen
dc.date.issued2011-06en
dc.identifier.issn00059900en
dc.identifier.doi10.1002/best.201100009en
dc.identifier.urihttp://hdl.handle.net/10754/561792en
dc.description.abstractThe composite material steel fibre reinforced concrete or steel fibre reinforced sprayed concrete (SFRS) is widely used in geotechnics. For the modelling of the mechanical behaviour the knowledge of the distribution and orientation of the fibres in the concrete is of particular importance. For a bachelor thesis the steel fibres in drill cores were investigated by computed tomography (CT) at the Austrian Foundry Research Institute (ÖGI). The orientation of each fibre was calculated using a STL-interface and further software tools. The results were statistically evaluated and graphically represented using Schmidt's net. This time consuming (expensive) method was automated by a post-processing of VRVis. With that tool the steel fibres in the sample can be explored, classified and visually examined in real-time regarding their orientation in two angles. Different possibilities of statistical evaluation can be implemented. A real-time direction sphere histogram (DSH), comparable to Schmidt's net in 3D allows the user to recognise the distribution of orientations of the selected fibres at a glance. The colour-coding of the different orientations is also used for the 3D-volume-view of the fibres, to easily identify the spatial distribution of orientations in the SFRS sample. © 2011 Ernst & Sohn Verlag für Architektur und technische Wissenschaften GmbH & Co. KG, Berlin.en
dc.publisherWiley-Blackwellen
dc.subjectAllgemeinesen
dc.subjectBaustoffeen
dc.subjectTunnelbauen
dc.titleComputertomographic investigation of steel fibre reinforced sprayed concrete using multi-dimensional transfer functions [Computertomografische Untersuchung von Stahlfaserspritzbeton mit mehrdimensionalen Transferfunktionen]en
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalBeton- und Stahlbetonbauen
dc.contributor.institutionMontanuniversität Leoben, Lehrstuhl für Subsurface Engineering, Erzherzog-Johann-Straße 3, 8700 Leoben, Austriaen
dc.contributor.institutionSiempelkamp Gieerei GmbH, Siempelkampstraße 45, 47803 Krefeld, Germanyen
dc.contributor.institutionVRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Donau City Straße 1, 1220 Wien, Austriaen
dc.contributor.institutionÖsterreichisches Gieerei-Institut (ÖGI), Parkstraße 21, 8700 Leoben, Austriaen
kaust.authorHadwiger, Markusen
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