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Research Article

The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics

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References

  • Al-Rifaie, W. N., and M. Al-Niami. 2016. Mechanical Performance of Date Palm Fibre-Reinforced Gypsums. Innovative Infrastructure Solutions 18:1. doi:10.1007/s41062-016-0022-y.
  • Altun, F., Ö. Kişi, and K. Aydin. 2008. Predicting the Compressive Strength of Steel Fiber Added Lightweight Concrete Using Neural Network. Computational Materials Science 42 (2):259–65. doi:10.1016/j.commatsci.2007.07.011.
  • Aziz, S. H., and M. P. Ansell. 2004. The Effect of Alkalization and Fibre Alignment on the Mechanical and Thermal Properties of Kenaf and Hemp Bast Fibre Composites: Part 1 – Polyester Resin Matrix. Composites Science and Technology 64 (9):1219–30. doi:10.1016/j.compscitech.2003.10.001.
  • Belaadi, A., A. Bezazi, M. Bourchak, and F. Scarpa. 2013. Tensile Static and Fatigue Behaviour of Sisal Fibres. Materials & Design 46:76–83. doi:10.1016/j.matdes.2012.09.048.
  • Belkadi, A. A., S. Aggoun, C. Amouri, A. Geuttala, and H. Houari. 2018. Effect of Vegetable and Synthetic Fibers on Mechanical Performance and Durability of Metakaolin-Based Mortars. Journal of Adhesion Science and Technology 32 (15):1670–86. doi:10.1080/01694243.2018.1442647.
  • Benzannache, N., A. Belaadi, M. Boumaaza, and M. Bourchak. 2021. Improving the Mechanical Performance of Biocomposite Plaster/ Washingtonian Filifira Fibres Using the RSM Method. Journal of Building Engineering 33. doi:10.1016/j.jobe.2020.101840.
  • Boumaaza, M., A. Belaadi, and M. Bourchak. 2020. The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Optimization Using RSM. Journal of Natural Fibers. doi:10.1080/15440478.2020.1724236.
  • Cao, Y., S. Shibata, and I. Fukumoto. 2006. Mechanical Properties of Biodegradable Composites Reinforced with Bagasse Fibre before and after Alkali Treatments. Composites Part A: Applied Science and Manufacturing 37 (3):423–29. doi:10.1016/j.compositesa.2005.05.045.
  • Carmen, R.-L., M.-C. María, P. Rubio-De-Hita, P.-G. F., and P.-R. M. Manuel. 2017. The Influence of Natural and Synthetic Fibre Reinforcement on Wood-Gypsum Composites. The Open Construction and Building Technology Journal 11 (1):350–62. doi:10.2174/1874836801711010350.
  • Chaitanya, S., and I. Singh. 2018. Sisal Fiber-Reinforced Green Composites: Effect of Ecofriendly Fiber Treatment. Polymer Composites 39 (12):4310–21. doi:10.1002/pc.24511.
  • Churkina, G., A. Organschi, C. P. O. Reyer, A. Ruff, K. Vinke, Z. Liu, B. K. Reck, T. E. Graedel, and H. J. Schellnhuber. 2020. Buildings as a Global Carbon Sink. Nature Sustainability 3 (4):269–76. doi:10.1038/s41893-019-0462-4.
  • Dalmay, P., A. Smith, T. Chotard, P. Sahay-Turner, V. Gloaguen, and P. Krausz. 2010. Properties of Cellulosic Fibre Reinforced Plaster: Influence of Hemp or Flax Fibres on the Properties of Set Gypsum. Journal of Materials Science 45 (3):793–803. doi:10.1007/s10853-009-4002-x.
  • Das, D., and A. Chatterjee. 2014. Taguchi and ANOVA Approach for Optimization of Flow Characteristics of Self-Compacting Concrete. Emerging Materials Research 3 (1):37–45. doi:10.1680/emr.13.00016.
  • Demir, F. 2008. Prediction of Elastic Modulus of Normal and High Strength Concrete by Artificial Neural Networks. Construction and Building Materials 22 (7):1428–35. doi:10.1016/j.conbuildmat.2007.04.004.
  • Eve, S., M. Gomina, J.-P. Jernot, J.-C. Ozouf, and G. Orange. 2007. Microstructure Characterization of Polyamide Fibre/Latex-Filled Plaster Composites. Journal of the European Ceramic Society 27 (12):3517–25. doi:10.1016/j.jeurceramsoc.2005.04.026.
  • Fiore, V., G. Di Bella, and A. Valenza. 2015. The Effect of Alkaline Treatment on Mechanical Properties of Kenaf Fibers and Their Epoxy Composites. Composites Part B: Engineering 68:14–21. doi:10.1016/j.compositesb.2014.08.025.
  • Gencel, O., J. J. del Coz Diaz, M. Sutcu, F. Koksal, F. P. Alvarez Rabanal, G. Martinez-Barrera, and W. Brostow. 2014. Properties of Gypsum Composites Containing Vermiculite and Polypropylene Fibers: Numerical and Experimental Results. Energy and Buildings 70:135–44. doi:10.1016/j.enbuild.2013.11.047.
  • Hajiha, H., M. Sain, and L. H. Mei. 2014. Modification and Characterization of Hemp and Sisal Fibers. Journal of Natural Fibers 11 (2):144–68. doi:10.1080/15440478.2013.861779.
  • Hamza, S., H. Saad, B. Charrier, N. Ayed, and F. Charrier-El Bouhtoury. 2013. Physico-Chemical Characterization of Tunisian Plant Fibers and Its Utilization as Reinforcement for Plaster Based Composites. Industrial Crops and Products 49:357–65. doi:10.1016/j.indcrop.2013.04.052.
  • Hernández-Olivares, F., I. Oteiza, and M. Bollati. 1995. Physical Modeling of Plaster and Fiber/Plaster Composites Setting from Ultrasonic Measurements. Composite Structures 00058–1. doi:10.1016/0263-8223(94).
  • Iucolano, F., D. Caputo, F. Leboffe, and B. Liguori. 2015. Mechanical Behavior of Plaster Reinforced with Abaca Fibers. Construction and Building Materials 99:184–91. doi:10.1016/j.conbuildmat.2015.09.020.
  • Kewalramani, M. A., and R. Gupta. 2006. Concrete Compressive Strength Prediction Using Ultrasonic Pulse Velocity through Artificial Neural Networks. Automation in Construction 15 (3):374–79. doi:10.1016/j.autcon.2005.07.003.
  • Li, X., L. G. Tabil, and S. Panigrahi. 2007. Chemical Treatments of Natural Fiber for Use in Natural Fiber-Reinforced Composites: A Review. Journal of Polymers and the Environment 15 (1):25–33. doi:10.1007/s10924-006-0042-3.
  • Lippmann, R. 1987. An Introduction to Computing with Neural Nets. IEEE ASSP Magazine 4 (2):4–22. doi:10.1109/MASSP.1987.1165576.
  • Mansour, M. Y., M. Dicleli, J. Y. Lee, and J. Zhang. 2004. Predicting the Shear Strength of Reinforced Concrete Beams Using Artificial Neural Networks. Engineering Structures 26 (6):781–99. doi:10.1016/j.engstruct.2004.01.011.
  • Nambiar, E. K. K., and K. Ramamurthy. 2006. Models Relating Mixture Composition to the Density and Strength of Foam Concrete Using Response Surface Methodology. Cement and Concrete Composites 28 (9):752–60. doi:10.1016/j.cemconcomp.2006.06.001.
  • Nazerian, M., M. Kamyab, M. Shamsian, M. Dahmardeh, and M. Koosha. 2018. Comparison of response surface methodology (RSM) and artificial neural networks (ANN) towards efficient optimization of flexural properties of gypsum-bonded fiberboards. CERNE 24 (1):35–47. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602018000100035&nrm=iso.
  • Nindiyasari, F., E. Griesshaber, T. Zimmermann, A. P. Manian, C. Randow, R. Zehbe, L. Fernandez-Diaz, A. Ziegler, C. Fleck, and W. W. Schmahl. 2016. Characterization and Mechanical Properties Investigation of the Cellulose/Gypsum Composite. Journal of Composite Materials 50 (5):657–72. doi:10.1177/0021998315580826.
  • Qu, D., X. Cai, and W. Chang. 2018. Evaluating the Effects of Steel Fibers on Mechanical Properties of Ultra-High Performance Concrete Using Artificial Neural Networks. Applied Sciences 8 (7):7. doi:10.3390/app8071120.
  • Ramakrishna, G., and T. Sundararajan. 2005. Impact strength of a few natural fibre reinforced cement mortar slabs: a comparative study. Cement and Concrete Composites 27 (5):547–53. doi:10.1016/j.cemconcomp.2004.09.006.
  • Sakthivel, P. B., A. Ravichandran, and N. Alagumurthi. 2016. Modeling and prediction of flexural strength of hybrid mesh and fiber reinforced cement-based composites using Artificial Neural Network (ANN). International Journal of GEOMATE 10 (1):1623–35. doi:10.21660/2016.19.150728.
  • Sarıdemir, M. 2009. Predicting the Compressive Strength of Mortars Containing Metakaolin by Artificial Neural Networks and Fuzzy Logic. Advances in Engineering Software 40 (9):920–27. doi:10.1016/j.advengsoft.2008.12.008.
  • Sawsen, C., K. Fouzia, B. Mohamed, and G. Moussa. 2015. Effect of Flax Fibers Treatments on the Rheological and the Mechanical Behavior of a Cement Composite. Construction and Building Materials 79:229–35. doi:10.1016/j.conbuildmat.2014.12.091.
  • Teimortashlu, E., M. Dehestani, and M. Jalal. 2018. Application of Taguchi Method for Compressive Strength Optimization of Tertiary Blended Self-Compacting Mortar. Construction and Building Materials 190:1182–91. doi:10.1016/j.conbuildmat.2018.09.165.
  • Van de, W. I., T. C. Truong, B. Vangrimde, and I. Verpoest. 2006. Improving the properties of ud flax fibre reinforced composites by applying an alkaline fibre treatment. Composites Part A: Applied Science and Manufacturing 37 (9):1368–76. doi:10.1016/j.compositesa.2005.08.016.
  • Yilmaz, I., and G. Yuksek. 2009. Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. International Journal of Rock Mechanics and Mining Sciences 46 (4):803–10. doi:10.1016/j.ijrmms.2008.09.002.

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