Deflection prediction of cantilever concrete beam using adaptive fuzzy inference system

  • Authors

    • Sujiati Jepriani
    • Ibayasid .
    • Aji Prasetya Wibawa
    • Leonel Hernandez
    2018-03-05
    https://doi.org/10.14419/ijet.v7i2.2.12746
  • cantilever of concrete beam, deflection, Fuzzy Logic, FIS.

  • Abstract

    The cantilever concrete beam is a beam made of concrete that is only supported or clamped at one end and the other end free or without the pedestal. The measure to which a structural member gets deviated from the initial position is called deflection. All the internal forces of cantilever beam serve to hold all the external forces due to the load so that the structure remains balanced. While the beam gets deflected under the loads, bending occurs in the same plane due to which stresses are developed. From the moment balance formula after integrated and solved with required boundary conditions, we get the downward deflection of beam. Fuzzy logic provides an inference structure that enables appropriate human reasoning capabilities. FIS (Fuzzy Inference System) is a system that processes the mapping formulation of a given input to produce an output using Fuzzy Logic. By using randomized data for all the variables of deflection formula within their respective ranges as training data, the FIS will be able to predict deflection of cantilever concrete beam after going through the training process adaptively.

     

     

  • References

    1. [1] S. Sharmila and P. Chandrasekaran, “Performance evaluation of high-performance concrete beams under cyclic loading,†Int. J. Eng. Technol., vol. 7, pp. 71–73, 2018.

      [2] G. PapaRao and D. S. R. C. Murty, “Influence of stirrup spacing on shear resistance of reinforced concrete beams,†Mag. Concr. Res., vol. 65, no. 14, pp. 829–836, 2013.

      [3] A. K. Samal and T. E. Rao, “Analysis of Stress and Deflection of Cantilever Beam and its Validation Using ANSYS,†Int. J. Eng. Res. Appl., vol. 6, no. 1, pp. 119–126, 2016.

      [4] M. Mohammadhassani, H. Nezamabadi-Pour, M. Jumaat, M. Jameel, S. J. S. Hakim, and M. Zargar, “Application of the ANFIS model in deflection prediction of concrete deep beam,†Struct. Eng. Mech., vol. 45, no. 3, pp. 319–332, 2013.

      [5] S. Singh, S. Padhi, A. A. Patra, and S. Hajra, “Analysis of Stress and Deflection of Cantilever Beam and its Validation Using COMSOL Multiphysics,†Int. J. Recent Trends Eng. Res., vol. 2, no. 8, pp. 275–279, 2016.

      [6] K. Nasrollahzadeh and M. M. Basiri, “Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system,†Expert Syst. Appl., vol. 41, no. 4, 2013.

      [7] J. S. Du, F. T. K. Au, E. K. H. Chan, and L. Liu, “Deflection of unbonded partially prestressed concrete continuous beams,†Eng. Struct., vol. 118, no. July, pp. 89–96, 2016.

      [8] F. G. K. Pakdamar, “Fuzzy Logic Approach In The Performance Evaluation Of Reinforced Concrete Structures (Flexible Performance),†World Conf. Earthq. Eng., 2008.

      [9] I. The Mathworks, Fuzzy Logic Toolbox TM User ’ s Guide. 2014.

      [10] S. N. Sivanandam, S. Sumathi, and S. N. Deepa, Introduction to Fuzzy Logic using MATLAB, 1st ed. Springer-Verlag Berlin Heidelberg, 2007.

      [11] I. N. Standard, Requirement of Concrete Structures for Buildings. 2013.

      [12] Purnawansyah, Haviluddin, A. F. O. Gafar, and I. Tahyudin, "Comparison between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities," in 2017 International Conference on Management Science and Engineering Management (ICMSEM), 2017.

      [13] Purnawansyah and Haviluddin, "K-Means Clustering Implementation in Network Traffic Activities," in 2016 International Conference on Computational Intelligence and Cybernetics, Makassar, Indonesia, 2016, pp. 51-54.


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  • How to Cite

    Jepriani, S., ., I., Prasetya Wibawa, A., & Hernandez, L. (2018). Deflection prediction of cantilever concrete beam using adaptive fuzzy inference system. International Journal of Engineering & Technology, 7(2.2), 108-111. https://doi.org/10.14419/ijet.v7i2.2.12746

    Received date: 2018-05-12

    Accepted date: 2018-05-12

    Published date: 2018-03-05