Advanced SearchSearch Tips
Non-destructive assessment of the three-point-bending strength of mortar beams using radial basis function neural networks
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Computers and Concrete
  • Volume 16, Issue 6,  2015, pp.919-932
  • Publisher : Techno-Press
  • DOI : 10.12989/cac.2015.16.6.919
 Title & Authors
Non-destructive assessment of the three-point-bending strength of mortar beams using radial basis function neural networks
Alexandridis, Alex; Stavrakas, Ilias; Stergiopoulos, Charalampos; Hloupis, George; Ninos, Konstantinos; Triantis, Dimos;
This paper presents a new method for assessing the three-point-bending (3PB) strength of mortar beams in a non-destructive manner, based on neural network (NN) models. The models are based on the radial basis function (RBF) architecture and the fuzzy means algorithm is employed for training, in order to boost the prediction accuracy. Data for training the models were collected based on a series of experiments, where the cement mortar beams were subjected to various bending mechanical loads and the resulting pressure stimulated currents (PSCs) were recorded. The input variables to the NN models were then calculated by describing the PSC relaxation process through a generalization of Boltzmannn-Gibbs statistical physics, known as non-extensive statistical physics (NESP). The NN predictions were evaluated using k-fold cross-validation and new data that were kept independent from training; it can be seen that the proposed method can successfully form the basis of a non-destructive tool for assessing the bending strength. A comparison with a different NN architecture confirms the superiority of the proposed approach.
non-destructive testing;three-point-bending strength;Pressure Stimulated Currents;non-extensive statistical physics;neural networks;radial basis function;fuzzy means;
 Cited by
Alexandridis, A., Sarimveis, H. and Bafas, G. (2003), "A new algorithm for online structure and parameter adaptation of RBF networks", Neural Networks, 16(7), 1003-1017. crossref(new window)

Alexandridis, A., Triantis, D., Stavrakas, I. and Stergiopoulos, C. (2012a), "A neural network approach for compressive strength prediction in cement-based materials through the study of pressure stimulated electrical signals", Constr. Build. Mater., 30, 294-300. crossref(new window)

Alexandridis, A., Chondrodima, E. and Sarimveis, H. (2012b), "Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization", IEEE Trans. Neural Network. Learn. Syst., 24(2), 219-230.

Alexandridis, A., Stogiannos, M. Kyriou, A. and Sarimveis, H. (2013), "An offset-free neural controller based on approximating the inverse process dynamics", J. Process Cont., 23(7), 968-979. crossref(new window)

Alexandridis, A. (2013), "Evolving RBF neural networks for adaptive soft-sensor design", Int. J. Neur. Syst., 23(6), 1350029. crossref(new window)

Alexandridis, A. and Chondrodima, E. (2014), "A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing", J. Biomed. Inform., 49, 61-72. crossref(new window)

Balayssac, J.P., Laurens, S., Breysse, D. and Garnier, V. (2013), Evaluation of concrete properties by combining NDT methods. Nondestructive Testing of Materials and Structures, Springer, Netherlands.

Beycioglu, A., Emiroglu, M., Kocak, Y. and Subas, S. (2015), "Analyzing the compressive strength of clinker mortars using approximate reasoning approaches-ANN vs MLR", Comput. Concrete, 15(1), 89-102. crossref(new window)

Christopoulos, S.R.G. and Sarlis, N.V. (2014), "q-exponential relaxation of the expected avalanche size in the coherent noise model", Physica A: Stat. Mech. Appl., 407, 216-225. crossref(new window)

Demir, A. (2015), "Prediction of hybrid fibre-added concrete strength using artificial neural networks", Comput. Concrete, 15(4), 503-514. crossref(new window)

Enomoto, J. and Hashimoto, H. (1990), "Emission of charged particles from indentation fracture of rocks", Nature, 346(6285), 641-643. crossref(new window)

Hadjicontis, V. and Mavromatou, C. (1994), "Transient electric signals prior to rock failure under uniaxial compression", Geophys. Res. Lett., 21(16), 1687-1690. crossref(new window)

Hagan, M.T. and Menhaj, M. (1994), "Training feedforward networks with the Marquardt algorithm", IEEE Trans. Neural Netw., 5, 989-993. crossref(new window)

Hagan, M.T. and Menhaj, M.B. (1994), "Training feedforward networks with the Marquardt algorithm,", Neural Networks, IEEE Tran., 5(6), 989-993. crossref(new window)

Haykin, S. (1999), Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice Hall, Upper Saddle River, NJ.

Kosmatka, S., Kerkhoff, B. and Panarese, W. (2002), Design and control of concrete mixtures, 14th Edition, Portland Cement Association, Skokie Illinois USA.

Kyriazis, P., Anastasiadis, C., Triantis, D. and Vallianatos, F. (2006), "Wavelet analysis on pressure stimulated currents emitted by marble samples", Nat. Hazard. Earth Syst. Sci., 6(6), 889-894. crossref(new window)

Kyriazis, P., Anastasiadis, C., Stavrakas, I., Triantis, D. and Stonham, J. (2009), "Modelling of electric signals stimulated by bending of rock beams", Int. J. Microstruct. Mater. Prop., 4(1), 5-18.

Kyriazopoulos, A., Anastasiadis, C., Triantis, D. and Brown, C.J. (2011a), "Non-destructive evaluation of cement-based materials from pressure-stimulated electrical emission-Preliminary results", Constr. Build. Mater., 25, 1980-1990. crossref(new window)

Kyriazopoulos, A., Stavrakas, I., Anastasiadis, C. and Triantis, D. (2011b), "Study of weak electric current emission on cement mortar under uniaxial compressional mechanical stress up to the vicinity of fracture", J. Mech. Eng., 57, 237-244.

Nie, J. (1997), "Fuzzy control of multivariable nonlinear servomechanisms with explicit decoupling Scheme", IEEE Tran. Fuzzy Syst., 5(2), 304-311. crossref(new window)

O'Keefee, S.G. and Thiel, D.V. (1995), "A mechanism for the production of electromagnetic radiation during fracture of brittle materials", Phys. Earth Planet. Inter., 89(1), 127-135. crossref(new window)

Park, J.W., Harley, R.G. and Venayagamoorthy, G.K. (2002), "Comparison of MLP and RBF neural networks using deviation signals for on-line identification of a synchronous generator", Power Engineering Society Winter Meeting, 2002. IEEE, 1, 274-279.

Rao, B., Fung, G. and Rosales, R. (2008), "On the dangers of cross-validation. An experimental evaluation", Proceedings of the SIAM International Conference on Data Mining, Atlanta, GA, USA.

Sarimveis, H., Alexandridis, A., Tsekourasm G. and Bafas, G. (2002), "A fast and efficient algorithm for training radial basis function neural networks based on a fuzzy partition of the input space", Ind. Eng. Chem. Res., 41(4), 751-759. crossref(new window)

Sarlis, N.V., Skordas, E.S. and Varotsos, P.A. (2010), "Nonextensivity and natural time: The case of seismicity", Phys. Rev. E., 82(2), 021110. crossref(new window)

Stavrakas, I., Anastasiadis, C., Triantis, D. and Vallianatos, F. (2003). "Piezo stimulated currents in marble samples: precursory and concurrent-with-failure signals", Nat. Hazard. Earth Syst.Sci., 3(3-4), 243-247. crossref(new window)

Stavrakas, I., Triantis, D., Agioutantis, Z., Maurigiannakis, S., Saltas, V., Vallianatos, F. and Clarke, M. (2004), Pressure stimulated currents in rocks and their correlation with mechanical properties.

Stergiopoulos, C., Stavrakas, I., Hloupis, G., Triantis, D. and Vallianatos, F. (2013), "Electrical and acoustic emissions in cement mortar beams subjected to mechanical loading up to fracture", Eng. Fail. Anal., 35, 454-461. crossref(new window)

Stergiopoulos, C., Stavrakas, I., Triantis, D., Vallianatos, F. and Stonham, J. (2015), "Predicting fracture of mortar beams under three-point bending using non-extensive statistical modelling of electric emissions", Physica A, 419, 603-611. crossref(new window)

Triantis, D., Stavrakas, I., Anastasiadis, C., Kyriazopoulos, A. and Vallianatos, F. (2006), "An analysis of pressure stimulated currents (PSC), in marble samples under mechanical stress", Phys. Chem. Earth, Parts A/B/C, 31(4), 234-239. crossref(new window)

Triantis, D., Anastasiadis, C., Vallianatos, F., Kyriazis, P. and Nover, G. (2007), "Electric signal emissions during repeated abrupt uniaxial compressional stress steps in amphibolite from KTB drilling", Nat. Hazard. Earth Syst. Sci., 7, 149-154. crossref(new window)

Triantis, D., Stavrakas, I., Kyriazopoulos, A., Hloupis, G. and Agioutantis, Z. (2012), "Pressure stimulated electrical emissions from cement mortar used as failure predictors", Int. J. Fract., 175(1), 53-61. crossref(new window)

Tsai, H.C. (2010), "Predicting strengths of concrete-type specimens using hybrid multilayer perceptrons with center-unified particle swarm optimization", Expert Syst. Appl., 37(2), 1104-1112. crossref(new window)

Tsallis, C. (1999), "Nonextensive statistics: theoretical, experimental and computational evidences and connections", Braz. J. Phys., 29(1), 1-35. crossref(new window)

Tsallis, C. (2009), Introduction To Nonextensive Statistical Mechanics: Approaching A Complex World, Springer, Berlin.

Vallianatos, F., Triantis, D., Tzanis, A., Anastasiadis, C. and Stavrakas, I. (2004), "Electric earthquake precursors: from laboratory results to field observations", Phys. Chem. Earth, Parts A/B/C, 29(4), 339-351. crossref(new window)

Vallianatos, F., Triantis, D. and Sammonds, P. (2011), "Non-extensivity of the isothermal depolarization relaxation currents in uniaxial compressed rocks", Europhys. Lett., 94(6), 68008. crossref(new window)

Vallianatos, F. (2013), "On the statistical physics of rockfalls: A non-extensive view", Europhys. Lett., 101(1), 10007. crossref(new window)

Vallianatos, F. and Triantis, D. (2013), "A non-extensive view of the pressure stimulated current relaxation during repeated abrupt uniaxial load-unload in rock samples", Europhys. Lett., 104(6), 68002. crossref(new window)

Varotsos, P., Alexopoulos, K. and Nomicos, K. (1982), "Comments on the pressure variation of the Gibbs energy for bound and unbound defects", Physica Status Solidi B, 111(2), 581-590. crossref(new window)

Varotsos, P. and Alexopoulos, K. (1984), "Physical properties of the variations of the electric field of the earth preceding earthquakes, II. Determination of epicenter and magnitude", Tectonophysics, 110(1), 99-125. (see page 122) crossref(new window)

Varotsos, P. and Alexopoulos, K. (1986), Thermodynamics of point defects and their relation with the bulk properties, Eds. S. Amelinckx, R. Gevers, and J. Nihoul, North Holland.

Varotsos, P., Sarlis, N., Lazaridou, M. and Kapiris, P. (1998), "Transmission of stress induced electric signals in dielectric media", J. Appl. Phys., 83(1), 60-70. crossref(new window)

Yeh, I.C. (1998), "Modeling of strength of high-performance concrete using artificial neural networks", Cement Concrete Res., 28(12), 1797-1808. crossref(new window)