Development of Prediction Models for Mechanical Properties and Durability of Concrete Using Combined Nondestructive Tests
Publication: Journal of Materials in Civil Engineering
Volume 31, Issue 2
Abstract
For several decades, researchers have attempted to develop statistical models through individual and combined use of ultrasonic pulse velocity (UPV) and rebound hammer data to enhance the prediction of concrete compressive strength and durability. This study proposes statistical univariate and multivariable regression models to predict compressive strength, abrasion, and salt scaling of concrete using UPV and rebound hammer measurements. Stepwise regression analysis was undertaken to develop the proposed models that were then validated using independent data. A scaling quality classification table using rebound hammer, and based on a -means clustering algorithm, is also proposed. The measurements support the combined use of UPV and rebound hammer to predict compressive strength. On the other hand, rebound hammer values are the only statistically significant variables to predict abrasion and salt-scaling resistance of concrete. Concrete properties had a significant impact on the mean and dispersion values of UPV and rebound number (RN). The procedures used in this paper for model development can serve as a general guideline for developing statistically valid univariate and multivariable regression models for other applications when predicting concrete properties.
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References
Abdul Hussein Ali, B. 2008. “Assessment of concrete compressive strength by ultrasonic non-destructive test.” Ph.D. dissertation, Dept. of Civil Engineering, Univ. of Baghdad.
ACI. 2003. In-place methods to estimate concrete strength. ACI Committee 22. Farmington Hills, MI: ACI.
Aggelis, D. G., E. Z. Kordatos, M. Strantza, D. V. Soulioti, and T. E. Matikas. 2011. “NDT approach for characterization of subsurface cracks in concrete.” Constr. Build. Mater. 25 (7): 3089–3097. https://doi.org/10.1016/j.conbuildmat.2010.12.045.
Amini, K. 2015. “Laboratory testing of high performance repair materials for pavements and bridge decks.” Master thesis, Cleveland State Univ.
Amini, K., M. Jalalpour, and N. Delatte. 2016. “Advancing concrete strength prediction using non-destructive testing: Development and verification of a generalizable model.” Constr. Build. Mater. 102: 762–768. https://doi.org/10.1016/j.conbuildmat.2015.10.131.
Amini, K., A. Lesak, A. Sohal, J. Adato, and N. Delatte. 2014. “Using ultrasonic pulse velocity to predict properties and performance of pervious concrete.” In Proc., Transportation Research Board 93rd Annual Meeting, 41–49. Washington, DC: Transportation Research Board.
Amini, K., X. Wang, and N. Delatte. 2018. “Statistical modeling of hydraulic and mechanical properties of pervious concrete using non-destructive tests.” J. Mater. Civ. Eng. 30 (6): 04018077. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002268.
Arthur, D., and S. Vassilvitskii. 2007. “k-Means++: The advantages of careful seeding.” In Proc., 18th Annual ACM-SIAM Symp. on Discrete Algorithms, 1027–1035. Philadelphia: Society for Industrial and Applied Mathematics.
ASTM. 2002. Standard test method for rebound number of hardened concrete. ASTM C805. West Conshohocken, PA: ASTM.
ASTM. 2009. Standard test method for pulse velocity through concrete. ASTM C597. West Conshohocken, PA: ASTM.
ASTM. 2012. Standard test method for abrasion resistance of concrete or mortar surfaces by the rotating-cutter method. ASTM C944. West Conshohocken, PA: ASTM.
ASTM. 2015. Standard test method for compressive strength of cylindrical concrete specimens. ASTM C39. West Conshohocken, PA: ASTM.
BNQ (Bureau de Normalisation du Québec). 2002. Determination of the scaling resistance of concrete surfaces exposed to freezing-and-thawing cycles in the presence of de-icing chemicals. BNQ NQ. 2621-900. Québec: BNQ.
Breysse, D. 2012. “Nondestructive evaluation of concrete strength: A historical review and a new perspective by combining NDT methods.” Constr. Build. Mater. 33: 139–163. https://doi.org/10.1016/j.conbuildmat.2011.12.103.
Carvalho, C. H. D., S. Júnior, J. Baptista, M. C. S. S. Macedo, S. Griza, C. E. C. D. Andrade, A. A. dos Santos, and L. S. Barreto. 2014. “Application of statistical techniques to evaluate the reliability of ultrasonic and rebound hammer measurements of compressive strength in the concrete of bridges.” Sci. Res. Essays 9 (6): 136–144. https://doi.org/10.5897/SRE2013.5780.
Draper, N. R., and H. Smith. 1981. Applied regression analysis. New York: Wiley.
Dubois, D., H. Prade, and L. Ughetto. 1999. Fuzzy logic, control engineering and artificial intelligence, 17–57. Dordrecht, Netherlands: Springer.
Erdal, M. M. 2009. “Prediction of the compressive strength of vacuum processed concretes using artificial neural network and regression techniques.” Sci. Res. Essays 4 (10): 1057–1065.
Ferreira, R. M., and S. Jalali. 2010. “Measurements for the prediction of 28-day compressive strength.” NDT & E Int. 43 (2): 55–61. https://doi.org/10.1016/j.ndteint.2009.09.003.
Hannachi, S., and M. N. Guetteche. 2012. “Application of the combined method for evaluating the compressive strength of concrete on site.” Open J. Civ. Eng. 2 (1): 16–21. https://doi.org/10.4236/ojce.2012.21003.
Huang, Q., P. Gardoni, and S. Hurlebaus. 2012. “Predicting concrete compressive strength using ultrasonic pulse velocity and rebound number.” ACI Mater. J. 108 (4): 403–412.
Kartam, N., I. Flood, and J. H. Garrett. 1997. Artificial neural networks for civil engineers: Fundamentals and applications. New York: ASCE.
Kheder, G. 1999. “A two stage procedure for assessment of in-situ concrete strength using combined non-destructive testing.” Mater. Struct. 32 (6): 410–417. https://doi.org/10.1007/BF02482712.
Knaze, P., and P. Beno. 1984. “The use of combined non-destructive testing methods to determine the compressive strength of concrete.” Mater. Struct. 17 (3): 207–210. https://doi.org/10.1007/BF02475246.
Krzanowski, W. 2000. Principles of multivariate analysis. Oxford, UK: Oxford University Press.
Lim, M. K., and H. Cao. 2013. “Combining multiple NDT methods to improve testing effectiveness.” Constr. Build. Mater. 38: 1310–1315. https://doi.org/10.1016/j.conbuildmat.2011.01.011.
Miretti, R., M. Carrasco, R. Grether, and C. Passerino. 2004. “Combined non-destructive methods applied to normal-weight and lightweight-concrete.” Insight 46 (12): 748–753. https://doi.org/10.1784/insi.46.12.748.54503.
Muñoz-Rojas, P. A. 2016. “Computational modeling, optimization and manufacturing simulation of advanced engineering materials.” In Advanced structured materials. Cham, Switzerland: Springer International Publishing.
Nguyen, N., Z. Sbartaï, and J. Lataste. 2013. “Assessing the spatial variability of concrete structures using NDT techniques-Laboratory tests and case study.” Constr. Build. Mater. 49: 240–250. https://doi.org/10.1016/j.conbuildmat.2013.08.011.
Ravindrajah, R., Y. Loo, and C. Tam. 1988. “Strength evaluation of recycled aggregate concrete by in-situ tests.” Mater. Struct. 21 (4): 289–295. https://doi.org/10.1007/BF02481828.
Rizzo, P., A. Nasrollahi, W. Deng, and J. Vandenbossche. 2016. “Detecting the presence of high water-to-cement ratio in concrete surfaces using highly nonlinear solitary waves.” Appl. Sci. 6 (4): 104. https://doi.org/10.3390/app6040104.
Rojas-Henao, L., J. Fernández-Gómez, and J. C. López-Agüí. 2012. “Rebound hammer, pulse velocity, and core tests in self-consolidating concrete.” ACI Mater. J. 109 (2): 235–243.
Samarin, A., and P. Meynink. 1981. “Use of combined ultrasonic and rebound hammer method for determining strength of concrete structural members.” Concr. Int. 3 (3): 25–29.
Sbartaï, Z. M., S. Laurens, S. M. Elachachi, and C. Payan. 2012. “Concrete properties evaluation by statistical fusion of NDT techniques.” Constr. Build. Mater. 37: 943–950. https://doi.org/10.1016/j.conbuildmat.2012.09.064.
Sheather, S. 2009. A modern approach to regression with R. New York: Springer.
Shu, X., B. Huang, H. Wu, Q. Dong, and E. G. Burdette. 2011. “Performance comparison of laboratory and field produced pervious concrete mixtures.” Constr. Build. Mater. 25 (8): 3187–3192. https://doi.org/10.1016/j.conbuildmat.2011.03.002.
Tanigawa, Y., K. Baba, and H. Mori. 1984. “Estimation of concrete strength by combined non-destructive testing method.” ACI Spec. Publ. 82: 57–76.
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Published In
Journal of Materials in Civil Engineering
Volume 31 • Issue 2 • February 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jan 11, 2018
Accepted: Jul 17, 2018
Published online: Nov 28, 2018
Published in print: Feb 1, 2019
Discussion open until: Apr 28, 2019
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