Analysis of Steel Fiber-Reinforced Concrete Elements Subjected to Shear

Lee, Seong-Cheol; Cho, Jae-Yeol; Vecchio, Frank J.

doi:10.14359/51688474

Cited by 47 publications

(28 citation statements)

References 6 publications

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“…Even though the mechanics of the shear resistance of SFRC is not fully understood, several design expressions are available in the literature and current codes. These expressions are mostly semi-empirical expressions, with the exception of extensions of the Modified Compression Field Theory [4][5][6][7][8][9][10][11][12], the Dual Potential Capacity Model [13,14], and plasticity-based models [15][16][17][18][19]. Table 1 gives an overview of the expressions for determining the shear capacity of SFRC beams without shear reinforcement from the literature that were considered in this study for comparison [20].…”

Section: Introductionmentioning

confidence: 99%

ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups

Abambres

Lantsoght

2019

Fibers

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Comparing experimental results of the shear capacity of steel fiber-reinforced concrete (SFRC) beams without stirrups to the capacity predicted using current design equations and other available formulations shows that predicting the shear capacity of SFRC beams without mild steel shear reinforcement is still difficult. The reason for this difficulty is the complex mechanics of the problem, where the steel fibers affect the different shear-carrying mechanisms. Since this problem is still not fully understood, we propose the use of artificial intelligence (AI) to derive an expression based on the available experimental data. We used a database of 430 datapoints obtained from the literature. The outcome is an artificial neural network-based expression to predict the shear capacity of SFRC beams without shear reinforcement. For this purpose, many thousands of artificial neural network (ANN) models were generated, based on 475 distinct combinations of 15 typical ANN features. The proposed “optimal” model results in maximum and mean relative errors of 0.0% for the 430 datapoints. The proposed model results in a better prediction (mean Vtest/VANN = 1.00 with a coefficient of variation 1 × 10−15) as compared to the existing code expressions and other available empirical expressions, with the model by Kwak et al. giving a mean value of Vtest/Vpred = 1.01 and a coefficient of variation of 27%. Until mechanics-based models are available for predicting the shear capacity of SFRC beams without shear reinforcement, the proposed model thus offers an attractive solution for estimating the shear capacity of SFRC beams without shear reinforcement. With this approach, designers who may be reluctant to use SFRC because of the large uncertainties and poor predictions of experiments, may feel more confident using the material for structural design.

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Section: Introductionmentioning

confidence: 99%

ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups

Abambres

Lantsoght

2019

Fibers

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“…This model is implemented in the non-linear finite element software VecTor2 [17,18] in a plane-stress formulation. The additional contribution of fibres in the concrete is modelled with the Diverse Embedment Model [9] (DEM) integrated in the DSFM. Therefore, the DSFM in combination with the DEM are used for the modelling of fibre-reinforced concrete structures.…”

Section: Constitutive Modelsmentioning

confidence: 99%

“…In FRC this slip is associated with aggregate interlock shear stresses across the cracks, but also with tangential stress associated with the fibres. In the modelling of UHPFRC, the aggregate interlock is limited due to the small aggregate size (0.6-1.3 mm), while details about the modelling of the fibre stresses are provided in [25].…”

Section: Figure 2 Modelling Of Frc and Uhpfrc Based On The Demmentioning

confidence: 99%

“…It is therefore the purpose of this paper to contribute towards this objective by describing and validating a nonlinear finite element approach. The goal is to use an existing formulation for the behaviour of reinforced and fibre-reinforced concrete (FRC) [8,9], and to extend its application to reinforced concrete beams and columns strengthened with UHPFRC layers. The validation of the model is performed with 21 tests from 7 experimental studies reported in the literature [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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A study on the numerical modelling of UHPFRC-strengthened members

Franssen

Güner²,

Courard

et al. 2018

MATEC Web Conf.

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The maintenance of large aging infrastructure across the world creates serious technical, environmental, and economic challenges. Ultra-high performance fibre-reinforced concretes (UHPFRC) are a new generation of materials with outstanding mechanical properties as well as very high durability due to their extremely low permeability. These properties open new horizons for the sustainable rehabilitation of aging concrete structures. Since UHPFRC is a young and evolving material, codes are still either lacking or incomplete, with recent design provisions proposed in France, Switzerland, Japan, and Australia. However, engineers and public agencies around the world need resources to study, model, and rehabilitate structures using UHPFRC. As an effort to contribute to the efficient use of this promising material, this paper presents a new numerical modelling approach for UHPFRC-strengthened concrete members. The approach is based on the Diverse Embedment Model within the global framework of the Disturbed Stress Field Model, a smeared rotating-crack formulation for 2D modelling of reinforced concrete structures. This study presents an adapted version of the DEM in order to capture the behaviour of UHPFRC by using a small number of input parameters. The model is validated with tension tests from the literature and is then used to model UHPFRC-strengthened elements. The paper will discuss the formulation of the model and will provide validation studies with various tests of beams, columns and walls from the literature. These studies will demonstrate the effectiveness of the proposed modelling approach.

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“…Advanced from the previous models, the diverse embedment model (DEM) [12,13] and the Simplified DEM (SDEM) [14] have been developed with consideration of fiber types such as straight and end-hooked types. Based on the DEM and SDEM, structural behavior of fiber reinforced concrete members with rebars could be more rationally predicted through considering stress distribution in a member and through development of analysis procedure [15,16]. Although many models were developed as summarized here, they were primarily focused on fiber reinforced concrete exhibiting softening behavior, whereas theoretical models for higher performance fiber reinforced concrete are still limited.…”

Section: Introductionmentioning

confidence: 99%

Inverse Analysis of UHPFRC Beams with a Notch to Evaluate Tensile Behavior

Lee

Kim

Joh

2017

Advances in Materials Science and Engineering

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Recently, ultra high performance fiber reinforced concrete (UHPFRC) has been developed to attain considerably increased compressive cracking strength and ductile tensile behavior with high tensile strength through adding straight steel fibers in concrete mixture. Although benefits with UHPFRC were investigated through experimental program, it is difficult to predict structural behavior of UHPFRC members since theoretical approaches are limited. In this paper, inverse analysis procedure has been proposed for a three-point bending test with notched UHPFRC beams so that tensile behavior of UHPFRC could be rationally evaluated. On the inverse analysis procedure, failure mode of the UHPFRC beam was simplified and the simplified diverse embedment model (SDEM) was employed. To verify the proposed inverse analysis procedure, UHPFRC beams with a notch were analyzed with the tensile behavior of UHPFRC evaluated through the inverse analysis procedure. The analytical predictions showed good agreement with the load-crack mouth opening displacement (CMOD) responses measured through the three-point bending test. Consequently, it can be concluded that UHPFRC tensile behavior can be rationally evaluated through the proposed inverse analysis procedure. The proposed inverse analysis procedure can be useful in relevant research areas such as development of advanced design approaches or computational methods for UHPFRC members.

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Analysis of Steel Fiber-Reinforced Concrete Elements Subjected to Shear

Cited by 47 publications

References 6 publications

ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups

ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups

A study on the numerical modelling of UHPFRC-strengthened members

Inverse Analysis of UHPFRC Beams with a Notch to Evaluate Tensile Behavior

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