Application of neural networks for proportioning of concrete mixes

ACI Materials Journal

Volumn 96, Issue 1, 1999, Pages 61-67

  Oh, Ju Won ^a   Lee, In Won ^a   Kim, Ju Tae ^a   Lee, Gyu Won ^a  

^a NONE

Author keywords

Concrete; Mix proportioning; Neural network

Indexed keywords

CALCULATIONS; COMPRESSIVE STRENGTH; MATHEMATICAL MODELS; NEURAL NETWORKS; QUALITY CONTROL; COMPRESSION TESTING; CONCRETE TESTING;

MIX PROPORTIONING; QUALITY CONTROL TEST; CONCRETE MIX PROPORTIONING;

CONCRETE TESTING; CONCRETE MIXING;

EID: 0032590360     PISSN: 0889325X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Adeli, H., and Park, H. S., 1995. "A Neural Dynamic Model for Structural Optimization - Theory," Computers and Structures, V. 57, No. 3, pp. 383-390.
2. American Concrete Institute, 1989. ACI 211.1-81, "Standard Practice for Selecting Proportions for Normal, Heavyweight, and Mass Concrete," ACI Manual of Concrete Practice, V. 1, Farmington Hills, Mich.
3. Bai, Y., and Amirkhanian, S. N., 1994. "Knowledge-Based Expert-System for Concrete Mix Design," Journal of Construction Engineering and Management, ASCE, V. 120, No. 2, pp. 357-373.
4. Celik, T.; Thorpe, A.; and McCaffer, R., 1989. "Development of an Expert System," Concrete International Design and Construction, V. 11, No. 8, Aug., pp. 37-41.
5. Chen, H. M.; Tsai, K. H.; Qi, G. Z.; Yang, C. S.; and Amini, F., 1995. "Neural Network for Structure Control," Journal of Computing in Civil Engineering, V. 9, No. 2, pp. 168-176.
6. Chen, S. S., and Shah, K., 1992. "Neural Networks in Dynamic Analysis of Bridges," Proceedings of the 8th Conference on Computing in Civil Engineering, ASCE, pp. 1058-1065.
7. Clifton, J. R., and Kaetzel, L. J., 1988. "Expert Systems for Concrete Construction," Concrete International Design and Construction., V. 10, No. 11, Oct., pp. 19-24.
8. Elkordy, M. F.; Chang, K. C.; and Lee, G. C, 1993. "Neural Networks Trained by Analytically Simulated Damage States," Journal of Computes in Civil Engineering, V. 7, No. 2, pp. 130-145.
9. Ghaboussi, J.; Garret, J. H., Jr.,; and Wu, X., 1991. "Knowledge-Based Modeling of Material Behavior with Neural Networks," Journal of Engineering Mechanics, ASCE, V. 117, No. 1, pp. 132-153.
10. Grossberg, S., 1976. "Adaptive Pattern Classification and Universal Recording: Part 1. Parallel Development and Coding of Natural Features Detectors," Biological Cybernetics, V. 23, pp. 121-134.
11. Hinton, G. E.; Sejnowski, T. J.; and Ackley, D. H., 1984. "Boltzman Machines: Constraint Satisfaction Networks That Learn," Technical Report No. CMU-CS-84-119, Department of Computer Science, Carnegie Mellon University, Pittsburgh.
12. Hopfield, J. J., 1982. "Neural Networks and Physical Systems with Emergent Collective Computational Abilities," Proceedings of the National Academy of Science of the United States of America, V. 79, pp. 2554-2558.
13. Kohonen, T., 1984. Self-Organization and Associative Memory, Springer-Verlag, Berlin, West Germany.
14. McCulloch, W. S., and Pitts, W., 1943. "A Logical Calculus of the Ideas Immanent in Nervous Activity," Bulletin of Mathematics and Biophysics, V. 5, pp. 115-133.
15. Mehta, P. K., and Monteiro, P. J. M., 1993. Concrete: Structure, Properties, and Materials, Prentice-Hall, Inc., Englewood Cliffs, N.J.
16. Ministry of Construction and Transportation, 1996. Concrete Standard Specification, Korean Society of Civil Engineers, Seoul, Korea.
17. Nelson, M. M., and Illingworth, W. T., 1991. A Practical Guide to Neural Nets, Addison-Wesley Publishing Co., Inc., Reading, Mass.
18. Neville, A. M., 1981. Properties of Concrete, Pitman Publishing, Inc., Marshfield, Mass.
19. Pal, C.; Hagiwara, I.; Kayaba, N.; and Morishita, S., 1994. "Dynamic System Identification by Neural Network: A New, Fast Learning Method Based on Error Back Propagation," Journal of Intelligent Material Systems and Structures, V. 5, No. 1, pp. 127-135.
20. Ranjithan, S., and Eheart, J. W., 1993. "Neural Network-Based Screening for Groundwater Reclamation under Uncertainty," Water Resources Research, V. 29 No. 3, pp. 563-574.
21. Rosenblatt, F., 1962. Principles of Neurodynamics, Spartan, New York.
22. Rumelhart, D. E.; Hinton, G. E.; and William, R. J., 1986. "Learning Internal Representations by Error Propagation," Parallel Distributed Processing, V. 1: Foundations, D. E. Rumelhart and J. L. McClelland, eds., MIT Press, Cambridge, Mass.
23. Rumelhart, D. E.; McClelland, I L.; and PDP Research Group, 1986. Parallel Distributed Processing, V. 1: Foundations, MIT Press, Cambridge, Mass.
24. Rumelhart, D. E., and Zipser, D., 1985. "Feature Discovery by Competitive Learning," Cognitive Science, V. 9, pp. 75-112.
25. Wu, X.; Ghaboussi, J.; and Garrett, J. H., Jr., 1992. "Use of Neural Networks in Detection of Structural Damage," Computer & Structures, V. 42, No. 4, pp. 649-659.