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RETRACTED ARTICLE: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique

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This article was retracted on 12 November 2019

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Abstract

The V-shaped angle shear connector is recognized as to expand certain mechanical properties to the shear connectors, contains adequate ductility, elevate resistance, power degradation resistance under cyclic charging, and high shear transmission, more economical than other shear connectors, for instance, the L-shaped and C-shaped shear connectors. The performance of this shear connector had been investigated by previous researchers (Shariati et al. in Mater Struct 49(9):1–18, 2015), but the strength prediction was not clearly explained. In this investigation, the shear strength prediction of this connector was analyzed based on several factors. The ultimate purpose was to investigate the variations of different factors that were affecting the shear strength of this connector. To achieve this aim, the data (concrete compression strength, thickness, length, height, slope of inclination, and shear strength) were collected from the parametric studies using finite element analysis results for this purpose were input using the ANFIS method (neuro-fuzzy inference system). The finite element analysis results were verified by experimental test results. All variables from the predominant factors that were affected the shear strength of the shear connector (V-shaped angle) were also selected by using the ANFIS process. The results exhibited that the proposed shear connector (V-shaped angle) contained the potentiality to be used practically after several improvements. One option might be the improvement of the testing process for different predictive models with more input variables that will improve the predictive power of the created models.

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Change history

  • 12 November 2019

    The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.

  • 12 November 2019

    The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.

Abbreviations

SS:

Silica sand

WSS:

Silica sand weight

WS:

Sieve weight

Cum. Ret:

Cumulative retained

\(\hbox {E}_{\mathrm{s}}\) :

The elasticity modulus

\(\upgamma \) :

Density

\(\upupsilon \) :

Poisson ratio

\(f_{\mathrm{ck}}\) :

The concrete strength of cylinder specimen

\(f_{\mathrm{cu}}\) :

The concrete strength of cubic specimen

\(\upvarepsilon _{\mathrm{c1}}\) :

Strain

r:

The reduction factor

\(\upvarepsilon _{\mathrm{cu}}\) :

The ultimate strain at failure

\(\hbox {E}_{\mathrm{cm}}\) :

The elasticity module

\({\varvec{\upvarepsilon }}\) :

The eccentricity

\(\Psi \) :

The material dilation angle

\(\hbox {f}_{\mathrm{b}0}\) :

The biaxial compressive strength

\(\hbox {f}_{\mathrm{c}0}\) :

The uniaxial compressive strength

d:

Penetration measure in the contact region

r:

Fraction of the minimum element length

\(\hbox {L}_{\mathrm{elem}}\).:

Element length

\(K\hbox {i}\) :

Initial stiffness

i:

The segment member

S:

Geometric scale factor

\(\hbox {k}_{\mathrm{dflt}}\) :

Default stiffness

r:

Overclosure factor

d:

Overclosure measure

\(\hbox {S}_{0}\) :

The initial scale factor;

\(\mu _{AB} \left( x \right) , \mu _{CD} \left( x \right) \) :

The membership function

\(\left\{ {a_i, b_i, c_i, d_i } \right\} \) :

The set of parameters

“x” and “y”:

The values of inputs from the nodes

\(\left\{ {p_i, q_i, r} \right\} \) :

The v 10.1007/s10845-017-1306-6 ariable set designated as consequent parameters

\(P_{i }\) :

The experimental value

\(O_{i}\) :

Signifies the forecast value

n :

The total number of test data

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Acknowledgements

This research was supported by Birjand University of Technology grant (Project No. RP/95/1003). The authors would like to acknowledge this support.

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Authors and Affiliations

  1. Department of Civil Engineering, Birjand University of Technology, Birjand, Iran

    I. Mansouri

  2. Department of Civil Engineering, University of Malaya, Kuala Lumpur, Malaysia

    M. Shariati, M. Safa & Z. Ibrahim

  3. UTM CRC, Institute for Smart Infrastructure and Innovative Construction, UTM, Johor Bahru, Malaysia

    M. M. Tahir

  4. University of Niš, Pedagogical Faculty in Vranje, Partizanska 14, Vranje, 17500, Serbia

    D. Petković

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  1. I. Mansouri
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  2. M. Shariati
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  3. M. Safa
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  5. M. M. Tahir
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  6. D. Petković
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Corresponding author

Correspondence to M. Safa.

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The Editor-in-Chief has retracted this article because validity of the content of this article cannot be verified. This article showed evidence of authorship manipulation. None of the authors agree to this retraction.

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Mansouri, I., Shariati, M., Safa, M. et al. RETRACTED ARTICLE: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique. J Intell Manuf 30, 1247–1257 (2019). https://doi.org/10.1007/s10845-017-1306-6

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