Adaptive Neuro Fuzzy Prediction of Behavior of NSM Strengthened RC Beams

Authors

  • Issam Nasser Tishreen University
  • Bassam Hwaija Tishreen University
  • Tharaa Mubarek Tishreen University

Keywords:

strengthening – carbon Fiber – NSM – deflection - crack width - ANFIS .

Abstract

The Near Surface Mounted (NSM) technique is a promising strengthening approach, though unpopular due to reliable serviceability prediction options. In this paper, a soft computing technique based on ANFIS is employed to predict the deflection and cracking behavior of NSM strengthened RC beams. The ANFIS results were compared with the experimental results and results of FIS, ANN approaches. The study indicated that the predicted deflection and crack width closely conform to the experimental results, which affirms the performance of the ANFIS model, this model demonstrated the superior predictive accuracy and capability of generalization over the fuzzy logic and artificial neural network (ANN) approaches

Author Biographies

Issam Nasser, Tishreen University

Professor, Department of  Structural Engineering, Faculty of Civil Engineering

Bassam Hwaija, Tishreen University

Professor, Department of  Structural Engineering, Faculty of Civil Engineering

Tharaa Mubarek, Tishreen University

Postgraduate Student , Department of  Structural Engineering, Faculty of  Civil Engineering, Tishreen University

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Published

2021-09-21

How to Cite

1.
ناصر ع, حويجة ب, مبارك ث. Adaptive Neuro Fuzzy Prediction of Behavior of NSM Strengthened RC Beams. Tuj-eng [Internet]. 2021Sep.21 [cited 2024Apr.28];43(4). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10925

Issue

Vol. 43 No. 4 (2021): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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Copyright (c) 2021 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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