Browse > Article
http://dx.doi.org/10.12989/sem.2013.46.4.447

Use of uncertain numbers for appraising tensile strength of concrete  

Tutmez, Bulent (School of Engineering, Inonu University)
Cengiz, A. Kemal (School of Engineering, Hacettepe University)
Sarici, Didem Eren (School of Engineering, Inonu University)
Publication Information
Structural Engineering and Mechanics / v.46, no.4, 2013 , pp. 447-458 More about this Journal
Abstract
Splitting tensile strength (STS) is a respectable mechanical property reflecting ability of the concrete. The STS of concrete is mainly related to compressive strength (CS), water/binder (W/B) ratio and concrete age. In this study, the assessment of STS is made by a novel uncertainty-oriented method which uses least square optimization and then predicts STS of concrete by uncertain (fuzzy) numbers. The approximation method addresses a novel integration of fuzzy set theory and multivariate statistics. The numerical examples showed that the method is applicable with relatively limited data. In addition, the prediction of uncertainty at various levels of possibility can be described. In conclusion, the uncertainty-oriented interval analysis can be suggested an effective tool for appraising the uncertainties in concrete technology.
Keywords
tensile strength; concrete; uncertainty; fuzzy number; interval analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Aliha, M.R.M., Heidari-Rarani, M., Shokrieh, M.M. and Ayatollahi, M.R. (2012), "Experimental determination of tensile strength and KIc of polymer concretes using semi-circular bend (SCB) specimens", Structural Engineering and Mechanics, 43(6), 823-833.   DOI   ScienceOn
2 Arioglu, N., Girgin, Z.C. and Arioglu, Z. (2006), "Evaluation of ratio between splitting tensile strength and compressive strength for concrete up to 120 MPa and its application in strength criterion", ACI Mater J., 103(1), 18-24.
3 Ayyub, B.M. and Klir, G.J. (2006), Uncertainty Modelling and Analysis in Engineering and the Sciences, Chapman & Hall/CRC, Boca Raton.
4 Bardossy, Gy. and Fodor, J. (2004), Evaluation of Uncertainties and Risks in Geology. Springer-Verlag, Heidelberg .
5 Bishop, C.M. (1996), Neural Networks for Pattern Recognition, Oxford University Press, USA.
6 Carlsson, C. and Fuller, R. (2002), Fuzzy Reasoning in Decision Making and Optimization, Physica-Verlag, Heidelberg.
7 Choi, Y. and Yuan, R.L. (2005), "Experimental relationships between splitting tensile strength and compressive strength of GFRC and PFRC", Cem Concr Res., 35, 1587-1591.   DOI   ScienceOn
8 Committee Euro-International du Beton (CEB-PIP) (1993), CEB-PIP Model Code 1990, Thomas Telford, London.
9 Davis, J.C. (2002), Statistics and Data Analysis in Geology, John Wiley&Sons, USA.
10 Eligehausen, R., Malle, R. and Silva, J. (2006), Anchorage in Concrete Construction, Ernst & Sohn, Stuttgart.
11 Forster, S.W. (1994), "High-performance concrete- stretching the paradigm", Concrete International, 16(10), 33-34.
12 Kaufmann, A. and Gupta, M. (1991), Introduction to Fuzzy Arithmetic -Theory and Applications, Van Nostrand Reinhold, New York.
13 Larrard, F. De. and Malier, Y. (1992), Engineering Properties of Very High Performance Concrete, E. Malier, Y., High Performance Concrete: from Material to Structure, E & FN Spon, London.
14 Liu, S., Yu, F., Xu, W. and Zhang, W. (2013), "New approach to MCDM under interval-value intuitionistic fuzzy environment", Int. J Machine Learning and Cybernetics, DOI: 10.1007/s13042-012-0143-3.   DOI
15 Mindes, S. and Young, J.F. (1981), Concrete, Prentice-Hall, NJ-Englewood Cliffs.
16 Newman, J. and Choo, B.S. (Eds.) (2003), Advanced Concrete Technology: Testing and Quality, Elsevier, Oxford.
17 Parra, C., Valcuende, M. and Gomez, F. (2011), "Splitting tensile strength and modulus of elasticity of selfcompacting concrete", Construction and Building Materials, 25, 201-207.   DOI   ScienceOn
18 Piegat, A. (2001), Fuzzy Modeling and Control, Physica-Verlag. New York.
19 Ross, T.J. (2004), Fuzzy Logic with Engineering Applications, Wiley, Chichester.
20 Rocco, C., Guinea, G.V., Planas, J. and Elices, M. (2001), "Review of the splitting-test standards from a fracture mechanics point of view", Cement and Concrete Research, 31, 73-82.   DOI   ScienceOn
21 Saridemir, M. (2011), "Emprical modelling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming", Expert Systems with Applications, 38, 1457-1468.   DOI   ScienceOn
22 Severcan, M.H. (2012), "Prediction of splitting tensile strength from the compressive strength of concrete using GEP", Neural Computing and Applications, 21(8), 1937-1945.   DOI
23 Song, P.S. and Hwang, S. (2004), "Mechanical properties of high-strength steel fiber-reinforced concrete", Construction and Building Materials, 18, 669-673.   DOI   ScienceOn
24 Tutmez, B. (2007). "An uncertainty oriented fuzzy methodology for grade estimation", Computers and Geosciences, 33(2), 280-288.   DOI   ScienceOn
25 Tutmez, B. (2009), "Clustering-based identification for the prediction of splitting tensile strength of concrete", Computers and Concrete, 6(2), 155-165.   DOI   ScienceOn
26 Walraven, J. (2009), "High performance concrete: a material with a large potential", Journal of Advanced Concrete Technology, 7(2), 145-156.   DOI
27 Zain, M.F.M., Mahmud, H.B., Ilham, A. and Faizal, M. (2002), "Prediction of splitting tensile strength of high-performance concrete", Cem. Concr. Res., 32, 1251-1258.   DOI   ScienceOn