Stochastic Development Model for Compressive Strength of Fly Ash High-Strength Concrete
Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 12
Abstract
High-strength concrete (HSC) has been widely used in civil engineering. HSC is a kind of multiphase composite material with large dispersion. In order to improve the safety of structure or component design, it is of great significance to study the variability of HSC mechanical properties and its variation with time. This paper carries out experimental research on the time-varying properties of C80 fly ash HSC under standard curing conditions, and analyzes the influence of curing time and fly ash content on the mean value and variation coefficient of compressive strength. Based on the compressible packing model (CPM), a compressive strength calculation model of fly ash HSC is established. Because the aggregate distribution characteristics have great influence on strength, the maximum paste thickness is analyzed based on the random aggregate model, a computational model for compressive strength of fly ash HSC considering the randomness of maximum paste thickness is presented further. The results show that the compressive strength values predicted by the proposed model have the same variation rule with predictive values of models in codes containing different fly ash content at different age, and the predictive values of models in codes are all in the prediction range of the proposed model with a 95% guarantee rate. This proposed model not only has a good calculation accuracy, but also has a certain prediction confidence interval, which provides a certain theoretical basis for the random prediction of the compressive strength of high-strength concrete.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the national natural science foundation of China (Grant No. 5177080364).
References
ACI (American Concrete Institute). 1999. Prediction of creep and shrinkage and temperature effects in concrete structures. ACI Committee 209. Farmington Hills, MI: ACI.
Alexander, M. G., and D. E. Davis. 1989. Properties of aggregates in concrete. Durban, South Africa: Hippo Quarries Technical Publication.
Alomaishi, N., M. K. Tadros, and S. O. Seguirant. 2009. “Elasticity modulus, shrinkage, and creep of high-strength concrete as adopted by AASHTO.” PCI J. 54 (3): 44–63. https://doi.org/10.15554/pcij.06012009.44.63.
Al-Shamiri, A. K., J. H. Kim, T. F. Yuan, and Y. S. Yoon. 2019. “Modeling the compressive strength of high-strength concrete: An extreme learning approach.” Constr. Build. Mater. 208 (May): 204–219. https://doi.org/10.1016/j.conbuildmat.2019.02.165.
Atici, U. 2010. “Prediction of the strength of mineral-addition concrete using regression analysis.” Mag. Concr. Res. 62 (8): 585–592. https://doi.org/10.1680/macr.2010.62.8.585.
Baalbaki, W., B. Benmokrane, O. Chaallal, and P. C. Aitcin. 1991. “Influence of coarse aggregate on elastic properties of high-performance concrete.” Mater. J. 88 (5): 499–503. https://doi.org/10.1016/0921-5093(91)90744-8.
Beshr, H., A. A. Almusallam, and M. Maslehuddin. 2003. “Effect of coarse aggregate quality on the mechanical properties of high strength concrete.” Constr. Build. Mater. 17 (2): 97–103. https://doi.org/10.1016/S0950-0618(02)00097-1.
Bhanja, S., and B. Sengupta. 2002. “Investigations on the compressive strength of silica fume concrete using statistical methods.” Cem. Concr. Res. 32 (9): 1391–1394. https://doi.org/10.1016/S0008-8846(02)00787-1.
BIS (Bureau of Indian Standards). 1983. Explanatory handbook on Indian standard code of practice for plain and reinforced concrete. New Delhi, India: BIS.
CEB-FIP (International Federation for Structural Concrete). 1990. Design code. London: Thomas Telford.
CEB-FIP (International Federation for Structural Concrete). 2010. Model code 2010 first complete draft—Volume. Lausanne, Switzerland: CEB-FIP.
Chang, T. P., F. C. Chuang, and H. C. Lin. 1996. “A mix proportioning methodology for high-performance concrete.” J. Chin. Inst. Eng. 19 (6): 645–655. https://doi.org/10.1080/02533839.1996.9677830.
Chen, H., W. Sun, L. J. Sluys, and P. Stroeven. 2007. “Quantitative characterization of the distribution of cement paste thickness in cementitious composites.” J.-Chin. Ceram. Soc. 35 (12): 1622–1628. https://doi.org/10.1016/S1872-5791(07)60033-5.
Chen, W. F., and D. J. Han. 2007. Plasticity for structural engineering. Berlin: Springer.
Chithra, S., S. S. Kumar, K. Chinnaraju, and F. A. Ashmita. 2016. “A comparative study on the compressive strength prediction models for high performance concrete containing nano silica and copper slag using regression analysis and artificial.” Neural Networks 114 (Jul): 528–535. https://doi.org/10.1016/j.conbuildmat.2016.03.214.
Chou, J.-S., and A.-D. Pham. 2013. “Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength.” Constr. Build. Mater. 49 (Dec): 554–563. https://doi.org/10.1016/j.conbuildmat.2013.08.078.
Chou, J.-S., C.-F. Tsai, A.-D. Pham, and Y.-H. Lu. 2014. “Machine learning in concrete strength simulations: Multi-nation data analytics.” Constr. Build. Mater. 73 (Dec): 771–780. https://doi.org/10.1016/j.conbuildmat.2014.09.054.
De Larrard, F. 1999. Concrete mixture proportioning: A scientific approach. London: E & FN Spon.
Domone, P. L. J., and M. N. Soutsos. 1994. “Approach to the proportioning of high-strength concrete mixes.” Concr. Int. 16 (10): 26–31.
Erdem, T. K., and Ö. Kırca. 2008. “Use of binary and ternary blends in high strength concrete” Constr. Build. Mater. 22 (7): 1477–1483. https://doi.org/10.1016/j.conbuildmat.2007.03.026.
Fullman, R. L. 1953. “Measurement of particle sizes in opaque bodies.” J. Miner Metal. Mater. Soc. (TMS) 5 (3): 447–452. https://doi.org/10.1007/BF03398971.
Gardner, N. J., and M. J. Lockman. 2001. “Design provisions for drying shrinkage and creep of normal strength concrete.” ACI Mater. J. 98 (2): 159–167.
Giaccio, G., et al. 1992. “HSC incorporating different coarse aggregates.” ACI Mater. J. 89 (3): 242–246.
Haque, M. N., H. Al-Khaiat, and O. Kayali. 2007. “Long-term strength and durability parameters of lightweight concrete in hot regime: Importance of initial curing.” Build. Environ. 42 (8): 3086–3092. https://doi.org/10.1016/j.buildenv.2006.10.032.
Hu, J., H. Chen, and P. Stroeven. 2006. “Spatial dispersion of aggregate in concrete a computer simulation study.” Comput. Concr. 3 (5): 301–312. https://doi.org/10.12989/cac.2006.3.5.301.
Kasperkiewicz, J., J. Racz, and A. Dubrawski. 1995. “HPC strength prediction using artificial neural network.” J. Comput. Civ. Eng. 9 (4): 279–284. https://doi.org/10.1061/(ASCE)0887-3801(1995)9:4(279).
Mehta, P. K. 1989. “Pozzolanic and cementitious by-products in concrete—Another look.” ACI Spec. Publ. 114: 1–44.
Mehta, P. K., and R. W. Burrows. 2001. “Building durable structures in the 21st century.” Concr. Int. 23 (3): 57–63.
Mihashi, H., and F. H. Wittmann. 1980. Stochastic approach to study the influence of rate of loading on strength of concrete. Delft, Netherlands: Delft Univ. of Technology.
Neville, A. M. 1976. Properties of concrete. London: Wiley.
Neville, A. M. 2001. “Consideration of durability of concrete structures: Past, present, and future.” Mater. Struct. 34 (2): 114–118. https://doi.org/10.1007/BF02481560.
Rashid, M. A., M. A. Mansur, and P. Paramasivam. 2002. “Correlations between mechanical properties of high-strength concrete.” J. Mater. Civ. Eng. 14 (3): 230–238. https://doi.org/10.1061/(ASCE)0899-1561(2002)14:3(230).
Sarıdemir, M. 2013. “Effect of silica fume and ground pumice on compressive strength and modulus of elasticity of high strength concrete.” Constr. Build. Mater. 49 (Dec): 484–489. https://doi.org/10.1016/j.conbuildmat.2013.08.091.
Thomas, M. D., M. H. Shehata, S. G. Shashiprakash, D. S. Hopkins, and K. Cail. 1999. “Use of ternary cementitious systems containing silica fume and fly ash in concrete.” Cem. Concr. Res. 29 (8): 1207–1214. https://doi.org/10.1016/S0008-8846(99)00096-4.
Torquato, S. 2002. Random heterogeneous materials: Microstructure and macroscopic properties. New York: Spinger.
Torquato, S., and B. Lu. 1993. “Chord-length distribution function for two-phase random media.” Phys. Rev. E 47 (4): 2950–2953. https://doi.org/10.1103/PhysRevE.47.2950.
Van Mier, J. G. M. 2017. Fracture processes of concrete. London: CRC Press.
Wang, Z. M., A. K. H. Kwan, and H. C. Chan. 1999. “Mesoscopic study of concrete I: Generation of random aggregate structure and finite element mesh.” Comput. Struct. 70 (5): 533–544. https://doi.org/10.1016/S0045-7949(98)00177-1.
Wood, S. L. 1992. “Evaluation of the long-term properties of concrete.” Mater. J. 88 (6): 630–643. https://doi.org/10.1061/(ASCE)0733-9445(1991)117:12 (3831.2).
Yeh, I. C. 1998a. “Modeling concrete strength with augment-neuron networks.” J. Mater. Civ. Eng. 10 (4): 263–268. https://doi.org/10.1061/(ASCE)0899-1561(1998)10:4(263).
Yeh, I. C. 1998b. “Modeling of strength of high-performance concrete using artificial neural networks.” Cem. Concr. Res. 28 (12): 1797–1808. https://doi.org/10.1016/S0008-8846(98)00165-3.
Yeh, I. C., and L. C. Lien. 2009. “Knowledge discovery of concrete material using genetic operation trees.” Expert Syst. Appl. 36 (3): 5807–5812. https://doi.org/10.1016/j.eswa.2008.07.004.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 33 • Issue 12 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Dec 15, 2020
Accepted: Apr 22, 2021
Published online: Sep 30, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 28, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- M. Shi, Weigang Shen, Automatic Modeling for Concrete Compressive Strength Prediction Using Auto-Sklearn, Buildings, 10.3390/buildings12091406, 12, 9, (1406), (2022).