Browse > Article
http://dx.doi.org/10.12989/cac.2013.12.3.243

Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams  

Mohammadhassani, Mohammad (Department of Civil Engineering, University Malaya)
Nezamabadi-pour, Hossein (Department of Electrical Engineering, Shahid Bahonar University of Kerman)
Jameel, Mohammed (Department of Civil Engineering, University Malaya)
Garmasiri, Karim (Department of Mechanical Engineering, Razi University)
Publication Information
Computers and Concrete / v.12, no.3, 2013 , pp. 243-259 More about this Journal
Abstract
Recent developments in Artificial Intelligence (AI) and computational intelligence have made it viable in the construction industry and structural analysis. This study usesthe Adaptive Network-based Fuzzy Inference System (ANFIS) as a modelling tool to predict the strain in tie section for High Strength Self Compacting Concrete (HSSCC) deep beams. 3773 experimental data were collected. The input data andits corresponding strains in tie section as output data were recorded at all loading stages. Results from ANFIS are compared with the classical linear regression (LR). The comparison shows that the ANFIS's results are highly accurate, precise and satisfactory.
Keywords
deep beams; strut and tie; strain of tie section; ANFIS; LR;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Wight, J.K. and Gustavo, J.P.M. (2003), "Strut - and-tie model for deep beam design. A practical exercise using Appendix A of the 2002", ACI Building Code.Concrete International.
2 Zadeh, L.A. (1965), "Fuzzy sets", Inform. Control, 8(3), 338-353.   DOI
3 Mohammadhassani, M., Nezamabadi-pour, H., Jumaat, M.Z., Jameel, M. and Arumugam, A.M.S. (2013a), "Application of Artificial Neural Networks (ANNs) and Linear Regressions (LR) to predict the deflection of concrete deep beams", Comput. Concr., 11(3), 237-252.   DOI   ScienceOn
4 Mohammadhassani, M., Nezamabadi-pour H., Jumaat, M.Z., Jameel, M. and Sayed Hakim, S.J. (2013b), "Application of ANFIS model in deflection prediction of HSSCC deep beem", Struct. Eng. Mech., 45(3), 319-332.
5 Nielsen, M.P. (1971), "On the strength of reinforced concrete discs", Civil Engineering and Building Construction Series, No. 70, Acta Polytechnica Scandinavica, Copenhagen.
6 Oh, J.K. and Shin, S.W. (2001), "Shear strength of reinforced high-strength concrete deep beams", ACI Struct. J., 98(2), 164-173.
7 Schlaich, J., Schafer, K. and Jennewein, M. (1987), "Towards a consistent design of structural concrete", PCI J., 32(3), 74-150.   DOI
8 Takagi, T. and Sugeno, M. (1985), "Fuzzy identification of systems and its applications to modeling and conml", IEEE T. SMC, 35(1), 116-132.
9 Tan, K., Kong, F., Teng, S. and Weng, L. (1997), "Effect of web reinforcement on high-strength concrete deep beams", ACI Struct. J., 94(5), 572-582.
10 Yang, K.H., Eun, H.C., Lee, E.T. and Chung H.S. (2003), "Shear characteristics of high strength concrete deep beams without shear reinforcement", Eng. Struct., 25(8), 1343-1352.   DOI   ScienceOn
11 Yang, K.H., Eun, H.C., Lee, E.T. and Chung, H.S. (2006), "The influence of web openings on the structural behaviour of reinforced high-strength concrete deep beams", Eng. Struct., 28(13), 1825-1834.   DOI   ScienceOn
12 Isik, Y. and Oguz, K. (2011), "Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils", Exp. Sys. Appl., 38(5), 5958-5966.   DOI   ScienceOn
13 Watstein, D. and Mathey, R.G. (1958), "Strains in beams having diagonal cracks", ACI J. 55(12), 717-728.
14 Herrera, F. and Lozano, M. (2003), "Fuzzy adaptive genetic algorithm: design, taxonomy and future directions", Soft Comput., 7(8), 545-562.   DOI   ScienceOn
15 Jang, J.S.R. (1993),"Adaptive network based fuzzy inference system", IEEE T. Syst. Man Cy., 23(3), 665-685.   DOI   ScienceOn
16 Lali, P. and Setayeshi, S. (2011), "A novel approach to develop the control of telbot using ANFIS for nuclear hotcells", Annal. Nucl. Energy, 38(10), 2156-2162.   DOI   ScienceOn
17 Lu, W.Y., Hwang, S.J. and Lin, I.J. (2010), "Deflection prediction for reinforced concrete deep beams", Comput. Concr., 7(1), 1-16.   DOI   ScienceOn
18 Mahmut, B. (2011), "Comparison of ANFIS and NN models-with a study in critical buckling load estimation", Appl. Soft Comput., 11(4), 3779-3791.   DOI   ScienceOn
19 Mamdani, E. and Assilian, S. (1975),"An experiment in linguistic synthesis with a fuzzy logic controller", Int. J. Man. Mach. Stud., 7(1), 1-13.   DOI   ScienceOn
20 Marti, P. (1985), "Truss models in detailing", Concrete Int., 7(12), 66-73.
21 Gerardo, A., Adolfo, B.M., Gustavo, J.P.M., Julio, A.R. and James K.W. (2002), "Experimental evaluation of design procedures for shear strength of deep reinforced concrete beams", ACI Struct. J., 99(4), 539-548.
22 Bilgehan, M. (2011), "Comparison of ANFIS and NN models-with a study in critical buckling load estimation", Appl. Soft Comput., 11(4), 3779-3791.   DOI   ScienceOn
23 Braestrup, M.W. and Nielsen, M.P. (1983), "Plastic methods of analysis and design", Handbook of Structural Concrete, Eds. Kong, F.K., Evans, R.H., Cohen, E. and Roll, F. Ch.20, Pitman, London.
24 Canadian Standard Association (2004), "CAN/CSA A23.3-04 Design of Concrete Structure", CSA, Rexdale, Ontario, Canada.
25 Hakim, S.J.S., Noorzaei, J., Jaafar, M.S., Jameel, M. and Mohammadhassani, M. (2011), "Application of Artificial Neural Networks to Predict Compressive strength of High Strength Concrete", Int. J. Physic. Sci. (IJPS), 6(5), 975-981.
26 Mohammadhassani, M., Jumaat, M.Z., Jameel, M. and Arumugam Arul, M.S. (2012b), "Ductility and performance assessment of high strength self compacting concrete (HSSCC) deep beams: an experimental investigation", Nucl. Eng. Des., 250, 116-124.   DOI
27 Mazloumzadeh, S.M., Shamsi, M. and Nezamabadi-pour, H. (2010), "Fuzzy logic to classify date palm trees based on some physical properties related to precision agriculture", Precision Agric, 11(3), 258-273.   DOI
28 Mohammadhassani, M., Jumaat, M.Z., Jameel, M. and Ashour, A. (2011a), "Failure modes and serviceability of high strength self compacting concrete deep beams", Eng. Fail. Anal., 18(8), 2272-2281.   DOI   ScienceOn
29 Mohammadhassani, M., Jumaat, M.Z. and Jameel, M. (2012a), "Experimental investigation to compare the modulus of rupture in high strength self compacting concrete deep beams and high strength concrete normal beams", Construct. Build. Mater., 30, 265-273.   DOI   ScienceOn
30 Abraham, A. (2005), Rule-based expert systems. In: Sydenham PH, Thorn R Handbook of measuring system design0, Wiley, New York.
31 ACI Committee 318 (1999), "Building Code Requirements for Structural Concrete (ACI 318-99) and Commentary (318R-99), American Concrete Institute, Farmington Hills, Mich., 391.