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Prediction of Lightweight Aggregate Concrete Compressive Strength | ||
| Journal of Rehabilitation in Civil Engineering | ||
| مقاله 11، دوره 6، شماره 2 - شماره پیاپی 12، آبان 2018، صفحه 154-163 اصل مقاله (1003.79 K) | ||
| نوع مقاله: Regular Paper | ||
| شناسه دیجیتال (DOI): 10.22075/jrce.2017.11556.1192 | ||
| نویسندگان | ||
| Omid Fatahi1؛ Saeed Jafari* 2 | ||
| 1M.Sc., Discipline of Civil Engineering, Islamic Azad University, Eyvan-e-Gharb Branch, Eyvan, Iran | ||
| 2M.Sc., Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran | ||
| تاریخ دریافت: 17 خرداد 1396، تاریخ بازنگری: 15 مرداد 1396، تاریخ پذیرش: 14 شهریور 1396 | ||
| چکیده | ||
| Nowadays, the better performance of lightweight structures during earthquake has resulted in using lightweight concrete more than ever. However, determining the compressive strength of concrete used in these structures during their service through a none-destructive test is a popular and useful method. One of the most original approach of non-destructive testing to obtain of compressive strength of concrete used in structures is ultrasonic pulse velocity test. The purpose of this research is predicting the compressive strength of LWA concrete by proposing an accurate mathematical formulation. Many samples of lightweight aggregate concrete, made by expanded clay, have been produced and tested. After determining the actual compressive strength and indirect ultrasonic pulse velocity for each sample, a relationship was derived to estimate the compressive strength through Gene Expression Programming (GEP). The results show the presented equation shows high accuracy in predicting the compressive strength of LWA and the estimated outcomes have a considerable compatibility with actual samples. | ||
| کلیدواژه‌ها | ||
| Lightweight Aggregate Concrete؛ Gene Expression Programming؛ Ultrasonic Pulse Velocity؛ None-Destructive Test؛ Prediction of Compressive Strength | ||
| مراجع | ||
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[1] Mat Lazim Zakaria, (1978). “Bahan dan Binaan,” Dewan Bahasa dan Pustaka. [2] Mohd Roji Samidi, (1997). “First report research project on lightweight concrete,” Universiti Teknologi Malaysia, Skudai, Johor Bahru. [3] Islam, H., K., Fathi, M., S., and Manaf, N., B., (2004). “Study of lightweight concrete behavior,” Vol. No. 71908. [4] Jafari, S., Mahini, S, S., (2017). “Lightweight concrete design using gene expression programming.” Construction and Building Material, Vol. 139, pp. 93-100. [5] ACI 213R-87, (1987). “Guide for Structural Lightweight Aggregate Concrete.” [6] R.D. Sturm, N. Mc Ashkill, R.G. Burg, and D.R. Morgan. “Evolution of Lightweight Concrete Performance in 55 to 80 Year Old Ship,” ACI publication, SP 189-7. [7] Shale and Slate Institute, “Advantages of Structural Lightweight Aggregate Concrete”. Expanded Clay, www.escsi.org. [8] Gonen, T, (2015). “Mechanical and Fresh Properties of Fiber Reinforced Self-Compacting Lightweight Concrete”, Scientia Iranica, A 22(2), pp. 313-318. [9] Bogas,J.A., Gomes, M.G. and Gomes, A., (2013). “Compressive strength evaluation of structural lightweight concrete by non-destructive ultrasonic pulse velocity method”, Ultrasonic 53, pp. 962–972. [10] Hadianfard, M.A., Jafari, S., (2016). “Prediction of Lightweight Aggregate Concrete Compressive Strength Using Ultrasonic Pulse Velocity Test Through Gene Expression Programming”, International Journal of Science and Technology (Scientia Iranica), Transaction A, vol. 23(6), pp. 2506-2513. [11] Nehdi, M., Chabib, H. E., Naggar, A., (2001). “Prediction performance of self-compacting concrete mixtures using artificial neural networks”, ACI Material Journal, 198(5). [12] Manish, A., Kewalramani.Rajiv G., (2006). “Concrete compressive strength prediction using pulse velocity through artificial neural networks”, Elsevier, Automation in Construction 15. [13] Trtnik, G., Kavaĉiĉ, F., Turk, G., (2009). “Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks, Elsevier, Ultrasonic 49. [14] Ferreira, c., (2001). “Gene expression programming: A new adaptive algorithm for solving problems,” Complex Syst., vol. 13, no. 2, pp. 87–129. [15] Ferreira, C., (2006). “Gene Expression Programming: Mathematical Modelling by an Artificial Intelligence,” New York: Springer- Verlag. [16] Zhou, W. Xiao, T. M. Tirpak, and P. C. Nelson, (2003). “Evolving accurate and compact classification rules with gene expression programming,” IEEE Trans. Evolut. Comput, Vol. 7, No. 6, pp. 519–531. [17] J. Zuo, C.-J. Tang, C. Li, C.-A. Yuan, and A.-L. Chen, (2004). “Time series prediction based on gene expression programming,” in International Conference on Web-Age Information Management. Berlin Heidelberg: Springer, pp. 55–64. [18] J. Zhong, L. Luo, W. Cai, and M. Lees, (2014). “Automaticrule identification for agent-based crowd models through gene expression programming,” in Proc. Int. Conf. Autonomous Agents and Multiagent Systems, Int. Foundation for Autonomous Agents and Multiagent Systems. ACM, pp. 1125–1132. [19] N. R. Sabar, M. Ayob, G. Kendall, and R. Qu, (2015). “A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems,” IEEE Trans. Evolut. Comput., Vol. 45, No. 2, pp. 217–228. [20] J. Zhong, Y.-S. Ong, and W. Cai, (2016). “Self-learning gene expression programming,” IEEE Trans. Evolut. Comput., Vol. 20, No. 1, pp. 65–80. [21] Facaoaru, I., (1970). “Non-destructive testing of concrete in Romania. Symposium on NDT of concrete and timber”, London: Institute of Civil Engineers, pp. 39. [22] Malhotra, V., (1976). “Nondestructive Methods”, Detroit. MI, ACI Monograph, No, 9. [23] Gaydecki, P., Burdekin, F., Damaj, W., John, D., Payne, P., (1992). “The propagation and attenuation of medium frequency ultrasonic pulses in concrete”, a signal analytical approach, MeasSciTechnol.3:126–33. [24] Kewalramani, M. A., Gupta, R., (2006). “Concrete compressive strength prediction using pulse velocity through artificial neural networks”, Elsevier, Automation in Construction 15. [25] Mousavi, S.M., Aminian, P., Gandomi, A.H., Alavi, A.H., Bolandi, H., (2012). “A new predictive model for compressive strength of HPC using gene expression programming”, Advances in Engineering Software, 45, pp. 105–114. [26] Fakharian, P., Naderpour, H., Haddad A., Rafiean A.H., Rezazadeh Eidgahee, D, (2017). “A Proposed Model for Compressive Strength Prediction of FRP-Confined Rectangular Columns in terms of Genetic Expression Programming (GEP)”, Journal of Concrete Research. [27] Ebteaj, I., Bonakdari, H., (2017). “No-deposition Transport in Sewer Using Gene Expression Programming”, Journal of Soft Computing in Civil Engineering, vol. 1, pp. 29-53. [28] ASTM C 330, (2002). “Standard Specification for Lightweight Aggregates for Structural Concrete”. [29] ACI 211.2., (1998). “Standard Practice for Selecting Proportions for Structural Light Wight Concrete”, Reported by ACI Committee 211.2. [30] ACI 304.5R91, (1997). “Batching, Mixing and Job Control of Lightweight Concrete”, Reported by ACI Committee 304. [31] ASTM C 127, (2007). “Standard Test Method for Density, Relative Density (Specific Gravity) and Absorption of Coarse Aggregate”. [32] ASTM C 29, (2007).”Standard Test Method for Bulk Density and Voids in Aggregates”. [33] ASTM C 597, (2009). “Standard Test Method for Pulse Velocity through Concrete”. [34] Hasan, M., Kabir, A., (2013). “Early Age Tests to Predict 28 Days Compressive Strength of Concrete”, AWAM International Conference of Civil Engineering and Geohazard Informational Zonation, pp. 234-241. [35] CIP 35, (2003). “Testing Compressive Strength of Concrete”, Concrete in Practice, NRMCA. [36] ASTM C 39, (1983). “Standard Test Method for Compressive Strength of Cylindrical Concrete Specimens”. [37] ASTM C 138/C 138 M, (2001). “Standard Test Method for Density (Unite Weight), Yield and Air Content (Gravimetric) of Concrete”. [38] Bastos, A, M., Sousa, H., Melo, A, F., (2005). “Methodology for the Design of Lightweight Concrete with Expanded Clay Aggregates,” TSM Journal. [39] Johari, A., Nakhaee, M., (2013). “Prediction of Unsaturated Soils Effective Stress Parameter Using Gene Expression Programming”, International Journal of Science and Technology (Scientia Iranica), Transaction A, vol. 20(50), pp. 1433-1444. [40] Nakhaee, M., Johari, A., (2013). “Genetic-Based Modeling of Undrained Lateral Load Capacity of Piles in Cohesive Soil”, Global Journal of Science, Engineering and Technology, Issue 5, pp. 123-133. [41] Neville, A. M., (1981). “Properties of concrete”, 3rd edition, Pitman publishing limited, London. | ||
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