Growing concrete consumption has gradually depleted conventional resources. This research incorporates silicomanganese (SiMn) slag, marine sand and seawater as alternative concreting materials. The use of SiMn slag to replace limestone as coarse aggregate enhances sustainability, though reducing strength and durability of concrete. This research aims to enhance the SiMn slag concrete by incorporating silica fume (SF) and fly ash (FA). The interaction of SF and FA on strength, durability and workability of concrete is investigated by statistically evaluating the experimental result. In this regard, the polynomial function prediction model is developed using the Response Surface Method (RSM) for the optimization of SF and FA contents. Analysis of variance (ANOVA) using p-value at significance level of 0.05 showed that the models were statistically significant and had marginal residual errors. All models had high fitness with R² value ranging from 0.853 to 0.999. Adequate precision of models was above 4, indicating that the models had a low prediction error and were fit for optimization. Optimization indicated that a combination of 11.5% SF and 16.3% FA produced concrete that met the optimization criteria. Experimental validation showed that the highest prediction error was 3.4% for compressive strength, 3.2% for tensile strength, 4.9% for sorptivity and 18% for chloride permeability. The optimized concrete exhibited compact microstructure with good bonding between aggregate and cement paste. By using the established linear equation with SiMn slag concrete, the models also predicted the compressive strength of limestone concrete containing SF and FA with an error of between 0.9% and 5.4%.

不断增长的混凝土消耗已逐渐耗尽了常规资源。这项研究将硅锰（SiMn）矿渣，海砂和海水作为替代混凝土材料。使用SiMn炉渣代替石灰石作为粗骨料可增强可持续性，但会降低混凝土的强度和耐久性。这项研究旨在通过掺入硅粉来增强SiMn矿渣混凝土（SF）和粉煤灰（FA）。通过统计评估实验结果，研究了SF和FA对混凝土强度，耐久性和可加工性的相互作用。在这方面，使用响应面法（RSM）开发了多项式函数预测模型，以优化SF和FA含量。使用显着性水平为0.05的p值进行的方差分析（ANOVA）表明，这些模型具有统计学意义，并且具有边际残差。所有型号的R ²适应性都很高值介于0.853至0.999之间。模型的足够精度在4以上，表明模型预测误差低，适合优化。优化表明11.5％SF和16.3％FA的组合产生的混凝土符合优化标准。实验验证表明，最高的预测误差为：抗压强度为3.4％，抗拉强度为3.2 ％，吸水性为4.9％，氯离子渗透性为18％。经过优化的混凝土表现出致密的微观结构，在骨料和水泥浆之间具有良好的粘结性。通过使用SiMn矿渣混凝土建立的线性方程，模型还预测了含SF和FA的石灰石混凝土的抗压强度，其误差在0.9％至5.4％之间。