2026-04-19T17:20:07Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/113852026-02-18T01:05:50Zcom_10259_4809com_10259_5086com_10259_2604col_10259_4810
Repositorio Institucional de la Universidad de Burgos
author
Rojas, Guillem
author
Mena Alonso, Álvaro
author
Muñoz, Álvaro
author
Kanstad, Terje
author
Vicente Cabrera, Miguel Ángel
2026-02-17T13:31:20Z
2026-02-17T13:31:20Z
2025-09
1359-5997
https://hdl.handle.net/10259/11385
10.1617/s11527-025-02784-w
1871-6873
This paper proposes a reliable and comprehensive procedure for the assessment of steel fibre distribution in fibre reinforced concrete. Two techniques have been used: computed tomography (CT) scanning and inductive testing. Both techniques have been applied to study the distribution of steel fibres in specimens extracted from structural elements, carrying out a comparative analysis of the results. Firstly, the data from the CT-scanning and the inductive method have been processed to obtain the density of steel fibres and their orientation in all the specimens, before comparing the results. Then, a complementary study was carried out to validate the inductive method, using hand-made cylinders with a previously known fibre dosage and orientation. Finally, the dual energy CT technique was applied and some conclusions about its potential were discussed. Both methods exhibited comparable accuracy and precision in measuring fibre density and orientation. Considering that CT-scanning is the reference technique, this mutual agreement reinforces the reliability of the inductive method. Additionally, the authors employed the dual energy CT aiming to explore the potential of this novel technique within the domain of fibre reinforced concrete research.
eng
Atribución 4.0 Internacional
Fibre reinforced concrete
Inductive method
CT-scanning
Fibre orientation
Quality control
Dual energy
Experimental study of the fibre distribution in SFRC: a comparison between CT-scanning techniques and the inductive method
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/11385/1/Rojas-ms_2025.pdf
File
MD5
ae94af50b465103644d651e84775da7a
4835306
application/pdf
Rojas-ms_2025.pdf