Predicting the pullout response of inclined hooked steel fibers

Laranjeira, F.; Molins, Climent; Aguado, Antonio

doi:10.1016/j.cemconres.2010.05.005

Cited by 134 publications

(91 citation statements)

References 10 publications

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“…For the series of models generated, the intrinsic CV (CV I ) for the number of fibres crossing this plane, for the shortest embedded length and for the angle between the fibre and a line perpendicular to the cracked plane were assessed. All these parameters should influence the final mechanical behaviour of the elements, as reported in experimental and numerical studies from the literature [24,25,30]. This outcome is related with the likelihood of obtaining big variations depending on the total number of fibres that cross the cracked section.…”

Section: Results and Analysismentioning

confidence: 99%

“…The friction coefficient of 0.6 between the steel fibre and the concrete was assumed after debonding occurs. Figure 5 presents the pull-out key points based on the experimental results considered in the work of Laranjeira [23][24][25] …”

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

“…It is important to remark that both models were extensively validated with the results from Leung [26], Robins [27] and Van Gysel [28]. The input parameters used for this study were the described by Laranjeira [23][24][25].…”

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

“…In the present study, the models proposed by Laranjeira for straight [24] and for hooked [25] fibres was used since they include a straightforward formulation and an extensive database of input parameters is available. The application of these models require the execution of at least one pull-out test of a single fibre aligned with the load direction in order to obtain the key points of the load-crack opening curve.…”

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

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Intrinsic scatter of FRC: an alternative philosophy to estimate characteristic values

Cavalaro

Aguado

2014

Mater Struct

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Abstract:The results from small scale laboratory tests of fibre reinforced concrete (FRC) usually show a high scatter. However, several studies indicate that the real scatter on the postcracking response of the material reduces considerably with the increase of the size of the elements tested. Such observations highlights a possible contradiction in the design of FRC since the characteristic values estimated from small scale tests might not be representative of large scale structures. This could penalize the material, leading to higher fibre consumption, less competitive solutions and problems in the quality control. The main objective of the present study is to address this fundamental issue. The aim is to evaluate the scatter that is intrinsic to the FRC and how it is affected by the size of the element, the type of concrete, the type and content of fibre. For that, a novel numerical approach is proposed for the simulation of the material and its variability. Then, an extensive parametric study is conducted with more than 35000 models, each one unique in terms of fibre distribution. Based on this analysis, equations are proposed to estimate the intrinsic scatter depending on several parameters. Finally, an alternative formulation is defined to estimate the characteristic value of the FRC considering the real structure in which it will be applied. The results derived from this study represent a contribution towards a more efficient design of structures and the reduction of the non-conformities in the quality control of the FRC. representative of large scale structures. This could penalize the material, leading to higher fibre consumption, less competitive solutions and problems in the quality control. The main objective of the present study is to address this fundamental issue. The aim is to evaluate the scatter that is intrinsic to the FRC and how it is affected by the size of the element, the type of concrete, the type and content of fibre. For that, a novel numerical approach is proposed for the simulation of the material and its variability. Then, an extensive parametric study is conducted with more than 35000 models, each one unique in terms of fibre distribution.Based on this analysis, equations are proposed to estimate the intrinsic scatter depending on several parameters.Finally, an alternative formulation is defined to estimate the characteristic value of the FRC considering the real structure in which it will be applied. The results derived from this study represent a contribution towards a more efficient design of structures and the reduction of the non-conformities in the quality control of the FRC.

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Section: Results and Analysismentioning

confidence: 99%

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

Section: Pull-out Response Of a Single Fibrementioning

confidence: 99%

See 2 more Smart Citations

Intrinsic scatter of FRC: an alternative philosophy to estimate characteristic values

Cavalaro

Aguado

2014

Mater Struct

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“…These methods include photometric analysis [11,12,14,15,38,39], X-ray computed tomography [16,40,41,42] or they are based on different physical phenomena such as electrical conductivity and magnetism [20,21,43,44].…”

Section: Overview Of Measuring Techniquesmentioning

confidence: 99%

DC-conductivity testing combined with photometry for measuring fibre orientations in SFRC

et al. 2013

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Dissertation for the Doctoral degree to be presented with due permissions of the School of Engineering, Aalto University and Tallinn University of Technology for public examination and debate in Auditorium R1 (Rakentajanaukio 4A) at the Aalto University (Espoo, Finland) on the 4th of April 2014 at 12 noon. Aalto University School of Engineering Tallinn University of TechnologyS up e r v i s i ng p r o f e s s o r P ro f e s s o r J ari P ut t o ne n, A al t o U ni v e rs i t y , F i nl and T h e s i s a d v i s o r D r. re r. nat . H e i k o H e rrmann, T al l i nn U ni v e rs i t y o f T e c h no l o g y , E s t o ni aP r e l i mi na r y e x a mi ne r s P ro f e s s o r H o l m A l t e nb ac h , F ac ul t y o f M e c h ani c al E ng i ne e ri ng , O t t ov o n G ue ri c k e -U ni v e rs i t ät M ag d e b urg , G e rmany P ro f e s s o r K e nne t h R une s s o n, D e p art me nt o f A p p l i e d M e c h ani c s , C h al me rs U ni v e rs i t y o f T e c h no l o g y , S w e d e n O p p o ne nt P ro f e s s o r K ari n L und g re n, D e p art me nt o f C i v i l and E nv i ro nme nt al E ng i ne e ri ng , C h al me rs U ni v e rs i t y o f T e c h no l o g y , S w e d e n A al t o U ni v e rs i t y p ub l i c at i o n s e ri e s D O C T O R A L D I S S E R T A T I O N S 2 8/ 2 0 1 4© M ari k a E i k I S BN 9 7 8-9 5 2 -6 0 -5 5 9 1 -6 I S BN 9 7 8-9 5 2 -6 0 -5 5 9 2 -3 ( p d f ) I S S N -L 1 7 9 9 -4 9 34 I S S N 1 7 9 9 -4 9 34 ( p ri nt e d ) I S S N 1 7 9 9 -4 9 4 2 ( p d f ) h t t p : / / urn. f i / U R N : I S BN : 9 7 8-9 5 2 -6 0 -5 5 9 2 -3 U ni g raf i a O y H e l s i nk i 2 0 1 4 F i nl and S up e r v i s i ng p r o f e s s o r P ro f e s s o r J ari P ut t o ne n, A al t o U ni v e rs i t y , F i nl andT h e s i s a d v i s o r D r. re r. nat . H e i k o H e rrmann, T al l i nn U ni v e rs i t y o f T e c h no l o g y , E s t o ni a P r e l i mi na r y e x a mi ne r s P ro f e s s o r H o l m A l t e nb ac h , F ac ul t y o f M e c h ani c al E ng i ne e ri ng , O t t ov o n G ue ri c k e -U ni v e rs i t ät M ag d e b urg , G e rmany P ro f e s s o r K e nne t h R une s s o n, D e p art me nt o f A p p l i e d M e c h ani c s , C h al me rs U ni v e rs i t y o f T e c h no l o g y , S w e d e n O p p o ne nt P ro f e s s o r K ari n L und g re n, D e p art me nt o f C i v i l and E nv i ro nme nt al E ng i ne e ri ng , C h al me rs U ni v e rs i t y o f T e c h no l o g y , S w e d e n A al t o U ni v e rs i t y p ub l i c at i o n s e ri e s D O C T O R A L D I S S E R T A T I O N S 2 8/ 2 0 1 4 © M ari k a E i k I S BN 9 7 8-9 5 2 -6 0 -5 5 9 1 -6 I S BN 9 7 8-9 5 2 -6 0 -5 5 9 2 -3 ( p d f ) I S S N -L 1 7 9 9 -4 9 34 I S S N 1 7 9 9 -4 9 34 ( p ri nt e d ) I S S N 1 7 9 9 -4 9 4 2 ( p d f ) h t t p : / / urn. f i / U R N : I S BN : 9 7 8-9 5 2 -6 0 -5 5 9 2 -3 U ni g raf i a O y H e l s i nk i 2 0 1 4 F i nl and S up e r v i s i ng p r o f e s s o r P ro f e s s o r J ari P ut t o ne n, A al t o U ni v e rs i t y , F i nl and © M ari k a E i k I S BN 9 7 8-9 5 2 -6 0 -5 5 9 1 -6 I S BN 9 7 8-...

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Numerisches Mehrebenen‐Modell für Stahlfaserbeton: Von der Faser‐ zur Bauteilebene

Gudžulić

Neu

Gebuhr

et al. 2019

Beton und Stahlbetonbau

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Im Beitrag wird die Prognosefähigkeit eines numerischen Mehrebenen‐Modells für stahlfaserverstärkte Betonstrukturen aus hochfestem Beton anhand einer die Faser‐ und die Strukturebene umfassenden Testserie systematisch untersucht. Die experimentelle Studie umfasst Auszugsversuche an Dramix 3D 55/60 und 65/60 Fasern in hochfestem Beton mit unterschiedlichen Einbettungslängen und Neigungen zur Rissfläche auf der Mesoskala sowie Dreipunkt‐Biegezugversuche an gekerbten Balken mit drei stark unterschiedlichen Fasergehalten zur Abbildung des Strukturverhaltens. Das numerische Modell ist derart konzipiert, dass es die direkte Verfolgung des Einflusses der Entwurfsparameter wie Faserart, Faserorientierung, Fasergehalt und Betonfestigkeit auf die Strukturantwort ermöglicht. Hierzu werden Submodelle auf der Ebene der Einzelfaser zu Rissüberbrückungsmodellen in Abhängigkeit von Faserorientierung und Fasergehalt zusammengeführt und zum Zwecke numerischer Strukturanalysen in ein Finite‐Elemente‐Modell integriert. Die Validierung der Modelle für endverankerte Stahlfasern zeigt, dass die wesentlichen Interaktionsmechanismen zwischen Faser und hochfestem Beton für alle untersuchten Fälle (Faserorientierung, Einbettungslängen) wirklichkeitsnah abgebildet werden. Auf der Strukturebene zeigen die Ergebnisse der numerischen Simulationen auf Basis des Faserbetonmodells eine sehr gute Übereinstimmung für alle Fasergehalte, sowohl was die maximale Last als auch das Nachbruchverhalten betrifft.

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Predicting the pullout response of inclined hooked steel fibers

Cited by 134 publications

References 10 publications

Intrinsic scatter of FRC: an alternative philosophy to estimate characteristic values

Intrinsic scatter of FRC: an alternative philosophy to estimate characteristic values

DC-conductivity testing combined with photometry for measuring fibre orientations in SFRC

Numerisches Mehrebenen‐Modell für Stahlfaserbeton: Von der Faser‐ zur Bauteilebene

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