Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

Document Type : Original Article

Authors

Department of Civil Engineering, National Institute of Technology, Kurukshetra, Haryana, India

Abstract

Punching shear capacity is a key factor for governing the collapsed form of slabs. This fragile failure that occurs at the slab-column connection is called punching shear failure and has been of concern for the engineers. The most common practice in evaluating the punching strength of the concrete slabs is to use the empirical expressions available in different building design codes. The estimation of punching loads involves experimental setup which is time-consuming, uneconomical and also, more manpower and materials are required. The present study demonstrates the use of data mining techniques as a substitute of former to predict the punching loads on the variation of various parameters. In this study, various type of data mining techniques including Adaptive Neuro-fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Generalized Neural Network (GRNN) were applied to model and estimate the punching load of reinforced concrete slab–column connections. For the study, a data set consisting of 89 observations from available literature was analysed and randomly selected 62 observations were used for model development whereas the rest 27 were used to test the developed models. While the outcomes of ANN and GRNN model provides suitable estimation performance, the Gaussian membership based ANFIS model performed best in the determination of coefficient of correlation (Cc). Sensitivity study indicates that the parameter effective depth of slab (d) is the most influencing one for the estimation of punching load of reinforced concrete slab–column connections for this data set.

Keywords


1. Mut t oni, A., “Punching shear st rengt h of reinforced concrete
slabs wit hout  t ransverse reinforcement”, ACI Structural
Journal, Vol. 105, No. 4, (2008), 440–450.  
2. Met wally, I.M., “Prediction of punching shear capacities of twoway
concret
e slabs reinforced wit h FRP bars”, HBRC Journal,
Vol. 9, No. 2, (2013), 125–133.  
3. Dilger, W., “Flat  slab-column connections”, Progress in
Structural Engineering and Materials, Vol. 2, No. 3, (2000),
386–399.
4. ACI Commit tee Ommittee 318, Building Code Requirements for
St ruct ural Concret e and Commentary, American Concrete
Inst it ut e, Det roit , USA, (1995).
5. BS 1881, Part 116, Method for Det ermination of Compressive
St rengt h of Concret e Cubes, Brit ish St andards Inst itution,
London, (1985).
6. Kinnunen, S. and Nylander, H., Punching of concrete slabs
wit hout  shear reinforcement, Elanders Boktryckeri Aktiebolag,
St ockholm, (1960).
7. Kinnunen, S., Punching of concrete slabs wit h t wo-way
reinforcement, Elanders Bokt ryckeri Akt iebolag, St ockholm,
(1963).
8. Nielsen, M.P., Braestrup, M.W., Jensen, B.C., and Bach, F.,
Concret e plast icity—beam shear—punching shear—shear in
joint s, Danish Societ y for St ruct ural Science and Engineering,
Copenhagen, (1978).
9. Andrä, H.P., Zum T ragverhalten des Auflagerbereichs von
Flachdecken, Dissert ation Technische Hochschule St ut tgart,
Inst it ut  für Baust at ik, (1982).
10. Shehat a, I.A.E.M., Theory of punching in concrete slabs,
Doct oral Thesis, University of West minster, University of
West minst e, London, Unit ed Kingdom, (1985).
11. Shehat a, I.A.E.M. and Regan, P.E., “Punching in R.C. Slabs”,
Journal of Structural Engineering, Vol. 115, No. 7, (1989),
1726–1740.
12. Abdollahi, S.M., Ranjbar, M.M., and Ilbegyan, S., “Shear
Capacit y of Reinforced Concrete Flat  Slabs Made wit h Highst
rengt h Concrete: A Numerical St udy of t he Effect  of Size,
Locat ion, and Shape of t he Opening (TECHNICAL NOTE)”,
International Journal of Engineering - Transactions B:
Applications, Vol. 30, No. 2, (2017), 162–171.  
13. Regan, P.E. and Braestrup, M.W., Punching shear in reinforced
concrete: A st at e of art  report , Volume 168 of Bulletin
Y. Aggarwal et al. / IJE TRANSACTIONS A: Basics  Vol. 32, No. 7, (July 2019)   908-914                                              913
d’information: Euro-International Commit tee for Concrete,
Secret ariat  Permanent , (1985).
14. Alexander, S.B. and Simmonds, S.H., “Ultimate st rengt h of slab-
column connections”, Structural Journal, Vol. 84, No. 3, (1987),
255–261.  
15. Bažant , Z.P. and Cao, Z., “Size effect in punching shear failure
of slabs”, ACI Structural Journal, Vol. 84, No. 1, (1987), 44–
53.  
16. Vidosa, F.G., Kot sovos, M.L.D., and Pavlovic, M.N.,
“Symmetrical punching of reinforced concrete slabs: an
analyt ical investigation based on nonlinear finit e element
modeling”, Structural Journal, Vol. 85, No. 3, (1988), 241–250.  
17. Sagaset a, J., Tassinari, L., Ruiz, M.F., and Mut t oni, A.,
“Punching of flat  slabs support ed on rect angular columns”,
Engineering Structures, Vol. 77, (2014), 17–33.  
18. Hallgren, M., Punching shear capacit y of reinforced highst
rengt h concrete slabs, Doctoral dissertation, Kungliga Tekniska
Hogskolan, Royal Inst it ut e of Technology, Sweden, (1998).
19. Shehat a, I.A.E.M., “Simplified model for est imat ing the
punching resist ance of reinforced corete slabs”, Materials and
Structures, Vol. 23, No. 5, (1990), 364–371.  
20. Goel, A., “ANN Based Modeling for Prediction of Evaporation
in Reservoirs (RESEARCH NOTE)”, International Journal of
Engineering - Transactions A: Basics, Vol. 22, No. 4, (2009),
351–358.  
21. Poursina, M., Khalili, M., and Golest anian, H., “Experimental
and Neural Net work Prediction of Elongation and Spread after
First  St age of Fullering”, International Journal of Engineering
- Transactions B: Applications, Vol. 23, No. 3&4, (2010), 233–
242.  
22. Kamalloo, A., Ganjkhanlou, Y., About alebi, S.H., and
Nouranian, H., “Modeling of Compressive St rength of
Met akaolin Based Geopolymers by The Use of Art ificial Neural
Net work (RESEARCH NOTE)”, International Journal of
Engineering - Transactions A: Basics, Vol. 23, No. 2, (2010),
145–152.
23. Sheikh Khozani, Z., Bonakdari, H., and Zaji, A.H., “Comparison
of Three Soft  Computing Methods in Est imating Apparent Shear
St ress in Compound Channels”, International Journal of
Engineering - Transactions C: Aspects, Vol. 29, No. 9, (2016),
1219–1226.  
24. Theodorakopoulos, D.D. and Swamy, R.N., “Ultimate punching
shear st rengt h analysis of slab–column connections”, Cement
and Concrete Composites, Vol. 24, No. 6, (2002), 509–521.
25. Siddique, R., Aggarwal, P., Aggarwal, Y., and Gupt a, S.M.,
“Modeling properties of self-compacting concrete: support vector
machines approach”, Computers and Concrete, Vol. 5, No. 5,
(2008), 461–473.
 
 
 

 

 
 
26. Aggarwal, P. and Aggarwal, Y., “Prediction of Compressive
St rengt h of Self- Compact ing Concrete wit h Fuzzy Logic”,
International Scholarly and Scientific Research & Innovation,
Vol. 5, No. 5, (2011), 774–781.  
27. Aggarwal, P., Aggarwal, Y., Siddique, R., Gupt a, S. and Garg,
H., “Fuzzy logic modeling of compressive st rength of highst
rengt h concrete (HSC) wit h supplementary cement itious
mat erial”, Journal of Sustainable Cement-Based Materials,
Vol. 2, No. 2, (2013), 128–143.
28. Sihag, P., “Prediction of unsaturated hydraulic conduct ivity using
fuzzy logic and art ificial neural net work”, Modeling Earth
Systems and Environment, Vol. 4, No. 1, (2018), 189–198.  
29. Goharriz, M. and Marandi, S.M., “Assessment  of Lat eral
Displacements using Neuro-Fuzzy Group Met hod of Data
Handling Syst ems”, International Journal of Engineering -
Transactions B: Applications, Vol. 28, No. 5, (2015), 677–685.  
30. Javdanian, H., “The effect  of geopolymerization on the
unconfined compressive strength of stabilized fine-grained soils”
International Journal of Engineering - Transactions B:  
Applications, Vol. 30, No. 11, (2017), 1673-1680.
31. Maleki, E., Di Milano, P., Farrahi, G.H., Maleki, E., “Modelling
of Conventional and Severe Shot Peening Influence on Properties
of High Carbon St eel via Art ificial Neural Net work”,
International Journal of Engineering - Transactions B:
Applications, Vol. 30, No. 11, (2017), 382–393.  
32. Tabat abaeian, Z. S. and Neshati, M.H., “Sensitivity Analysis of a
Wideband Backward-wave Direct ional Coupler Using Neural
Net work and Mont e Carlo Met hod (RESEARCH NOTE)”,
International Journal of Engineering - Transactions B:
Applications, Vol. 31, No. 5, (2018), 729–733.  
33. Jadidi, A.M. and Jadidi, M., “An Algorithm based on Predicting
t he Int erface in Phase Change Materials”, International Journal
of Engineering - Transactions B: Applications, Vol. 31, No. 5,
(2018), 799–804.  
34. Specht , D.F., “A general regression neural net work”, IEEE
Transactions on Neural Networks, Vol. 2, No. 6, (1991), 568–
576.
35. Wasserman, P., Advanced met hods in neural comput ing, John
Wiley & Sons, Inc., (1993).
36. Siddique, R., Aggarwal, P., and Aggarwal, Y., “Prediction of
compressive st rength of self-compacting concrete cont aining
bot t om ash using art ificial neural net works”, Advances in
Engineering Software, Vol. 42, No. 10, (2011), 780–786.
37. Singh Nain, S., Garg, D., and Kumar, S., “Prediction of the
Performance Characteristics of WEDM on Udimet-L605 Using
Different Modelling Techniques”, Materials Today:
Proceedings, Vol. 4, No. 2, (2017), 546–556.
38. Haykin, S., Neural net works: A comprehensive foundation,
Prent ice Hall PTR, (1994).