vol18no1p5a

References

  1. Nilson A. H., Drawin D., and Dolan C.W.,”Design of Reinforced Concrete Structures”, Mc Graw Hill, Higher education 13th, ed., 2004, pp745.
  2. WanShui and Nilseen P.,”Determination of Load carrying Capacity of Perfectly-Plastic structures by a Series of Linear –Elastic Solution”, Danish Society for Structural Science and Engineering, Vol.73 2,2002, pp.39- 59.
  3. Bonetti R.A., “Ultimate Strength of the Local Zone in Load Transfer Tests” Sc. Thesis, February 2005, Virginia Polytechnic Institute and State University, Blacksburg, VA., pp, 86.
  4. Chen, X.X., Hui Z.L., and Song “Numerical Analysis of Ultimate Strength of Concrete Filled Steel Tubular Arch Bridge”, Journal of Hejiang University Sciences, 2005, 6A (8), pp.859-868.
  5. Sanad, A.and Saka M. P. ,” Prediction of Ultimate Shear Strength of Reinforced Concrete Deep Beams Using Neural Networks”, Journal of Structural Engineering, ASCE, 127, No. 7, July, 2001, pp. 818-828.

Tikrit Journal of Engineering Sciences (2011) 18(1) 56- 66

Predicting the Ultimate Load Capacity of R.C. Beams by ANN

Majid A. AL – Jurmaa, Civil Eng. Dept., College of Engineering, University of Mosul, Iraq

Abstract

The present study deals with the use of artificial neural networks ANN in predicting the ultimate load capacity of reinforced concrete beams. The data is collected from the numerical solution by finite element method of the simply supported beams with various properties, under the action of two point loads, symmetrically with the center. The data were arranged in a format such that input parameters cover the geometrical, reinforcement’s ratio and properties of beams and the corresponding output is the ultimate (failure) load. Results were compared with the available methods in the literature. It was found that the average ratio of numerical solution (finite element) to predicted failure loads of beams was 1.018     for neural network, and 1.21 for limit state theory. It is clear that neural network provides an efficient alternative method in predicting the ultimate load capacity for R.C. beams.

Download Full-text PDF

Keywords: Reinforced Concrete Beam, Ultimate Load, Neural Network, and, Backward–Propagation.

How to cite

TJES: Al-Jurmaa MA. Predicting the Ultimate Load Capacity of R.C. Beams by ANN. Tikrit Journal of Engineering Sciences 2011; 18(1): 56-65.

APA: Al-Jurmaa M.A. (2011). Predicting the Ultimate Load Capacity of R.C. Beams by ANN. Tikrit Journal of Engineering Sciences, 18(1), 56-65.