Prediction of Compressive Strengths for Rice Husks Ash incorporated concrete, Using Neural Network and Reviews

Keywords: prediction methods, concrete, artificial neural networks, Literature reviews

Abstract

Modelling of concrete that incorporates agricultural wastes such as rice husk ash (RHA) could potentially enhance utilization of green concrete and application of sustainable construction materials. This paper evaluations compressive strength prediction for rice husk ash (RHA) cementitious material incorporated concrete using artificial neural networks (ANNs) one of the various prediction methods.  The research is based on various previous experimental studies.

Literature reviews of 72 datasets for RHA incorporated concrete from 15 previous researches, were used and subjected to ANNs models, having learning rate of 0.06 with tanh activation functions. Four(4) input variables were considered, namely:- superplasticizer or water reducers variation from control (%), water to binder ratio, percentage of RHA and control compressive strengths. Output variable was compressive strength of RHA cementitious material incorporated concrete. The ANN with 15 neurons in the hidden layer was selected and indicated overall values of 5.10MPa, 0.99, 3.81MPa and 9.73% for the root mean square error (RMSE), absolute factor of variance (R2), mean absolute error (MAE) and mean absolute percentage error (MAPE) respectively and for individual training, validation/checking and testing datasets, the RMSE, R2, MAE and MAPE ranging between 3.98MPa-6.56MPa, 0.98-0.99, 3.44MPa-4.94MPa and 9.19%-12.41% respectively. Generally, both predicted and original dataset, indicated higher and lower strength values for 5-10% and 15-30% RHA incorporated cementitious material concrete respectively compared to the control strengths.

Considering that the study utilized data from different sources and with a wide range of concrete strengths the selected ANN showed relatively good performance. The study provides an indicator that machine learning techniques could accurately predict green concrete strength. Based on model performance the percentage RHA cementitious materials in concrete and the other 3 input variable had a significant impact on concrete strengths. Future research should be conducted to predict green concrete focused on particular concrete class.

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Author Biography

Cornelius Ngunjiri Ngandu, Egerton University
Egerton University, Egerton, Nakuru, Kenya

References

[1] V Chandwani, V Agrawal, R Nagar, and S Singh, “Modeling Slump of Ready Mix Concrete Using Artificial Neural Network,” International Journal of Technology, 2, pp.207-216, 2015

[2] D Sathyan, KB Anand, AJ Prakash, and B Premjith, “Modeling the fresh and hardened stage properties of self-compacting concrete using random kitchen sink algorithm,” International journal of concrete structures and materials, March 2018. DOI: https://doi.org/10.1186/s40069-018-0246-7
https://doi.org/10.1186/s40069-018-0246-7


[3] J Revathy, P Gajalakshmi, and G Ashwini, “Neural network for the prediction of fresh properties and compressive strength of flowable concrete,” Journal of Urban and environmental engineering, vol. 13 (1), pp. 183-197, 2019, doi:10.4090/juee.2019.v13n1.183197

[4] N Islam, MFM Zain, and M Jamil, “Prediction of strength and slump of rice husk ash incorporated high-performance concrete,” Journal of civil engineering and management,vol. 18 (3). pp. 310-317, 2012. DOI: 10.3846/13923730.2012.698890

[5] M Thiedeitz, W Schmidt, M Härder, and T Kränel, “Performance of rice husk ash as supplementary cementitious material after production in the field and in the lab.,” Materials, 13 (19), 4319, Sept. 2020. doi:10.3390/ma13194319

[6] A Sala, J Torres, RM Gutiérrez, and S Delvesto, “Engineering properties of blended concrete with Colombian rice husk ash and metakaolin”, Ingenieria y competitividad, vol. 15 (2), pp. 225-235, 2013.

[7] I Glushankova, A Ketov, and M Krasnovskikh, L Rudakova, I Vaisman, “Rice Hulls as a Renewable Complex Material Resource,” Resources, 7 (2), 31, May 2018. doi:10.3390/resources7020031

[8] HA Mboya, CK King’ondu, KN Njau, and AL Mrema, “Measurement of pozzolanic activity index of scoria, pumice and rice husk ash as potential supplementary materials for portland cement,” Advances in civil engineering, vol. 2017 Article ID 6952645, 13 pages, Aug. 2017. DOI:https://doi.org/10.1155/2017/6952645

[9] Md Safiuddin, JS West, and KA Soudki, “Air Content of Self-Consolidating Concrete and its Mortar Phase including Rice Husk Ash,” Journal of Civil Engineering and Management, vol. 17 (3). pp. 319-329, 2011. doi:10.3846/13923730.2011.589225

[10] EB Ettah, JG Egbe, ES Ubi, and EE Okon, “Investigation of rice husk ash (RHA) as a Supplement in cement for building application,” Civil Engineering Research Journal, vol. 6 (2):555681, pp. 29-34,July 2018. DOI:10.19080/CERJ.2018.06.555681

[11] CY Kawabata, HS Junior, and J Sousa-Coutinho, “Rick husk derived waste materials as partial replacement in light weight concrete,” Ciênc. Agrotec. Lavras, vol. 36 (5), pp. 567-578, 2012. DOI:10.1590/S1413-70542012000500010

[12] AE Abalaka, “Strength and some durability properties of concrete containing rice husk ash produced in a charcoal incinerator at low specific surface,” International journal of concrete structures and materials, vol. 7 (4), pp 287-293, Dec. 2013. DOI 10.1007/s40069-013-0058-8

[13] JM Marangu, CM M’thiruaine, and M Bediako, “Physicochemical Properties of Hydrated Portland Cement Blended with Rice Husk Ash,” Journal of Chemistry (Hindawi) , Vol. 2020, Article ID 5304745, 10 Pages, 2020. DOI: https://doi.org/10.1155/2020/5304745

[14] MN Amin, S Hissans, K Shahzada, K Khan, and T Bibi, “Pozzolanic reactivity and the influence of rice husk ash on early-age autogenous shrinkage of concrete,” Frontier in materials (Front. Mater.), vol. 6 (150), July 2019. doi:10.3389/fmats.2019.00150.

[15] MP Karthik, GA Arul, VV Sree, B Manikandan, and GM Manasha, “Experimental study on rice husk in concrete by partial replacement,” International Journal of ChemTech Research, vol. 10 (8), pp. 812-819, 2017.

[16] TAR Hussin, and J Parasuraman, “Replacement of cement with commercial available rice husk ash in concrete,” Infrastructure university Kuala Lumpur Research, vol. 6(1), 2018.

[17] CS Feltrin, GC Isaia, and A Lübeck, “Synergic effects between mineral admixtures on strength and microstructure of concretes,” Rev. IBRACON Estrut. Mater. (IBRACON Structures and Materials Journal), vol. 13 (6) el3604, 2020

[18] MB Barbosa, AM Pereira,JL Akasaki, CF Fioriti, JV Fazzan, MM Tashima, JJP Bernebeu, and JLP Melges, “Impact strength and abrasion resistance of high strength concrete with rice husk ash and rubber tires,” Revista IBRACON De Estruturas E Materiais (IBRACON Structures and Materials Journal),vol. 6 (5), pp. 811-820, Oct. 2013.

[19] M Amin, and BA Abdelsalam, “Efficiency of rice husk ash and fly ash as reactivity materials in sustainable concrete,” Sustainable Environmental Research, 29 (30), Nov. 2019. DOI: https://doi.org/10.1186/s42834-019-0035-2

[20] DO Oyejobi, TS Adbulkadir, and V Ajibola, “Investigation of rice husk ash cementitious constituent in concrete,” International journal of agricultural technology, vol. 10 (3), pp. 533-542, 2014.

[21] H Mahmud, MFA Malik, RA Kahar, MFM Zain, and SN Raman, “Mechanical properties and durability of normal and water reduced high strength grade 60 concrete containing rice husk ash,” Journal of advanced concrete technology, vol. 7 (1), pp. 21-30, Feb. 2009. [Online series]. Available: https://www.jstage.jst.go.jp/article/jact/7/1/7_1_21/_pdf/-char/en [Accessed: December 18th 2020]

[22] AA Ramezanianpour, M Mahdi Khani, and Gh Ahmedibeni, “The effect of rice husk on mechanical properties and durability of sustainable concretes,” International journal of civil engineering, vol. 7 (2). pp 83-91, June 2009.

[23] AA Akindahunsi, and O Alade, “Exploiting the potentials of rice husk ash as supplement in cement for construction in Nigeria,” International journal of concrete structures and material, vol. 4 (1), pp 3-8, June 2010. DOI 10.4334/IJCSM.2010.4.1.003

[24] EC Jeong, SY Shin, and YS Kim, “Durability performance of concrete using rice husk ash,” Journal of the Korea Institute of Building Construction, vol. 13 (2), 2013. DOI:http://dx.doi.org/10.5345/jkibc.2013.13.2.139

[25] CY Sung, BI Yoo, KT Kim, HJ Jung, and YI Kim, “An Experimental Study on the Engineering Properties of Concrete with Rice-Husk Ash,” Journ. Agri. Sci. Chungnan Nat’l Univ., Korea, vol. 24 (2), pp. 207-217, 1997.

[26] MH Lee, SJ Kwon, and KT Park, “Mechanical properties in rice husk ash and OPC concrete with coconut fiber addition ratios,” Journal of the Korea Institute of Structural Maintainance and Inspection, vol. 19 (2). pp. 117-124, March 2015. DOI:http://dx.doi.org/10.11112/jksmi.2015.19.2.117

[27] A Hasanzade-Inallu, PH Inallou, and B Eskandarinezhad, “Prediction of compressive strength of concrete with manufactured sand using neural networks and bat algorithm,” Soil structure interaction journal, vol. 4, pp. 52-63, 2019.

[28] A Henigal, E Elbeltgai, M Eldwiny, and M Serry, “Artificial Neural Network Model for Forecasting Concrete Compressive Strength and Slump in Egypt,” Journal of Al Azhar University Engineering Sector, vol. 11 (39), pp. 435-446, April 2016.

[29] J Zhang, Y Zhao, and H Li, “Experimental Investigation and Prediction of Compressive Strength of Ultra-High Performance Concrete Containing Supplementary Cementitious Materials,” Advances in Material Science and Engineering, Volume 2017, Article ID 4563164, 8 pages, Dec. 2017. DOI:https://doi.org/10.1155/2017/4563164

[30] V Chandwani, V Agrawal, and R Nagar, “Modeling Slump of Ready Mix Concrete Using Artificial Neural Network,” Advances in Artificial Neural Systems, Volume 2014, ArticleID 629137, 9 Pages, Nov. 2014. DOI:https://doi.org/10.1155/2014/629137

[31] MA Getahun, SM Shitote, and ZCA Gariy, “Experimental Investigation on Engineering Properties of Concrete Incorporating Reclaimed Asphalt Pavement and Rice Husk Ash,” Buildings, 8, 115, Aug. 2018. DOI:10.3390/buildings8090115

[32] V Cecconello, BRC Sartori, MP Kulakowski, CS Kazmierczak, and M Mancio, “Shrinkage and porosity in concrete produced with recycled concrete aggregate and rice husk ash,” Revista IBRACON De Estruturas E Materiais (IBRACON Structures and Materials Journal),vol. 12 (3), pp. 694-704, Jun. 2019. DOI:10.1590/S1983-41952019000300013

[33] IJ Fernandes, D Calheiro, FAL Sánchez, ALD Camacho, TLAC Rocha, CAM Moraes, and VC Sousa, “Characterization of silica produced from rice husk ash: comparison of purification and processing methods,” Materials Research, 20 (Suppl. 2), pp. 512-518, 2017. DOI: 10.1590/1980-5373-MR-2016-1043

[34] DV Reddy, M Alvarez, and D Arboleda,“Rice husk ash as a sustainable concrete material for marine environment,” in Sixth LACCEI International Latin American and Caribbean conference for Engineering and Technology (LACCEI’ 2008), Tegucigalpa, Honduras, 2008.

[35] GA Habeeb, and H Mahmud, “Study on properties of rice husk ash and its use as cement replacement material,” Materials Research, 13 (2), pp. 185-190, 2010.

[36] Yao X, Xu K, and Liang Y, “Comparing the thermo-physical properties of rice husk and rice straw as feedstock for thermochemical conversion and characterization of their waste ash from combustion,” BioResources, 11 (4), pp. 10549-10564, 2016. DOI: 10.15376/biores.11.4.10549-10564

[37] John W. Eaton, David Bateman, Søren Hauberg, and Rik Wehbring, GNU Octave version 5.2.0 manual: A High-level interactive language for numerical computations, 2019. URL: https.//www.gnu.org/software/octave/doc/v.5.2.0

[38] S. Oman, “A Simple Neural Network in Octave-Part 2,” aimatters.wordpress.com, Jan. 3,2016. [online]. Available: https://aimatters.wordpress.com/2016/01/03/a-simple-neural-network-in-octave-part-2/. [Accessed January 27th 2021]

[39] D. Gupta, “Fundamentals of Deep Learning-Activation Functions and When to Use Them?,” analyticsvidhya, Jan. 30, 2020. [online]. Available: https://www.analyticsvidhya.com/blog/2020/01/fundamentals-deep-learning-activation-functions-when-to-use-them/. [Accessed January 27th 2021]

[40] GeeksforGeeks, “Activation Functions in Neural Networks,” GeeksforGeeks, Last updated 8th October, 2020. [ONLINE]. Available: https://www.geeksforgeeks.org/activation-functions-neural-networks/ [Accessed January 18th, 2020]
Published
2021-07-01
How to Cite
Ngandu, C. (2021). Prediction of Compressive Strengths for Rice Husks Ash incorporated concrete, Using Neural Network and Reviews. ITECKNE, 18(2), 99-107. https://doi.org/https://doi.org/10.15332/iteckne.v18i1.2532
Section
Research and Innovation Articles