干粉激发煤矸石基地聚物混凝土配合比优化研究

Study on Mix Proportion Optimization of Dry-Powder Activated Coal Gangue Based Geopolymer Concrete

为了解决煤矸石等煤炭废弃物对环境的污染问题,考虑到传统氢氧化钠液体激发剂运输不便,腐蚀性强的缺点,采用碱性干粉激发剂,以煤矸石、粉煤灰等煤炭废弃物为原料制备干粉激发煤矸石基地聚物混凝土。基于引力搜索算法,采用混沌映射对其进行修正,推导得到修正的引力搜索法公式,并对干粉激发煤矸石基地聚物混凝土的最优配合比进行了研究。在保证强度与和易性的前提下,以经济成本最小化为目标,得到不同强度等级煤矸石基地聚物混凝土的优化配合比。结果表明,基于混沌Chebyshev映射和Logistic映射的GSA优化后的经济成本均得到有效降低,不同强度等级煤矸石基地聚物混凝土的经济成本分别平均节省约11.89%和11.30%;且在一定的强度等级范围内,强度等级越高,优化后的成本节省越多。对于经济成本最低的C35煤矸石基地聚物混凝土的最优配合比为:粉煤灰∶水泥∶煤矸石∶砂子∶石子=1∶1.1∶1.55∶3∶3.56。

In order to solve the environmental pollution problems caused by coal gangue and other coal wastes,considering the disadvantages of traditional sodium hydroxide liquid activator such as inconvenient transportation and strong corrosiveness,alkali dry-powder activator was used to prepare dry-powder activated coal gangue based geopolymer concrete.The coal wastes such as coal gangue and fly ash were taken as raw materials.Chaos maps was used to modify the gravitational search algorithm,and a modified gravitational search formula was derived.The optimal mix proportion of dry-powder activated coal gangue based geopolymer concrete was studied.Under the premise of ensuring strength and workability,the optimal mix proportions of coal gangue based geopolymer concretes with different strength grades were obtained with the objective of minimizing economic cost.The results show that the economic costs optimized by GSA based on Chebyshev Chaotic maps and Logistic Chaotic maps are effectively reduced,and the economic costs of coal gangue based geopolymer concretes with different strength grades are saved by 11.89%and 11.30%respectively after optimization.And within a certain strength grade range,the higher the strength grade,the more cost savings after optimization.The optimum mix proportion of C35 coal gangue based geopolymer concrete with the lowest economic cost is fly ash∶cement∶coal gangue∶sand∶stone=1∶1.1∶1.55∶3∶3.56.