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Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
Journal of Cleaner Production ( IF 11.1 ) Pub Date : 2018-05-21 , DOI: 10.1016/j.jclepro.2018.05.158
Muhammad Zahid , Nasir Shafiq , M. Hasnain Isa , Lluis Gil

Fly ash-based geopolymer binders have been identified as one of the alternatives to the Ordinary Portland Cement (OPC), which qualify the criteria of green construction material. In the process of enhancement of the properties of geopolymer; engineered geopolymer composite (EGC) is a recent development that is classified as the high-performance fiber reinforced geopolymer matrix. The philosophy of the development of EGC is to achieve high compressive strength and ductility. In this paper, statistical models are developed to predict the mechanical and post-cracking properties of EGC using Response Surface Methodology (RSM). In this regard, effects of three principal variables; molarity of sodium hydroxide, sodium silicate to sodium hydroxide ratio, and curing temperature on the properties of fresh and hardened EGC (setting time, compressive strength, elastic modulus, flexural strength, flexural toughness, ductility index, tensile strength, tensile first crack strength and tensile strain capacity) were investigated. All models are found significant because, and the difference between predicted R2 and adjustable R2 was found less than 0.2. The optimized mixture proportion was assessed using multi-objective optimization technique as discussed in the RSM literature. Finally, an experimental program was performed to validate the optimized mixture proportion. The predicted and experimental results were found in a close agreement because the variation between the predicted and the experimental results was obtained less than 5%. The proposed method can be performed for any objective value of the EGC property with desirability almost equal to one, improving the yield, the reliability of the product and the processes.



中文翻译:

基于响应面方法的粉煤灰工程地质聚合物复合材料的统计建模和混合设计优化

以粉煤灰为基的地聚合物粘合剂已被确定为普通波特兰水泥(OPC)的替代品之一,符合绿色建筑材料的标准。在增强地质聚合物性能的过程中;工程地质聚合物复合材料(EGC)是一项最新进展,被归类为高性能纤维增强的地质聚合物基体。EGC的发展理念是实现高抗压强度和延展性。在本文中,开发了统计模型以使用响应表面方法(RSM)预测EGC的机械性能和裂化后性能。在这方面,三个主要变量的影响;氢氧化钠的摩尔浓度,硅酸钠与氢氧化钠的比例以及固化温度对新鲜和硬化EGC的性能(凝固时间,研究了抗压强度,弹性模量,抗弯强度,抗弯韧性,延展性指数,抗拉强度,抗拉第一断裂强度和抗拉应变能力。发现所有模型都是有意义的,因为和预测R之间的差异2和可调节的R 2小于0.2。使用RSM文献中讨论的多目标优化技术评估了优化的混合物比例。最后,执行了一个实验程序来验证优化的混合比例。由于预测结果与实验结果之间的差异小于5%,因此发现预测结果与实验结果非常吻合。所提出的方法可以对EGC特性的任何目标值执行,期望值几乎等于1,从而提高了产量,产品和工艺的可靠性。

更新日期:2018-05-21
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