针对土压平衡盾构渣土筛分剩余泥渣利用率低，堆填存在污染环境、侵占耕地等问题，提出一种泥渣资源化制备同步注浆材料的新方法，浆液以泥渣、水泥、水为基本制浆原材料，添加双组分水性聚合物进行改性。首先，基于响应面法(RSM)设计3因子5水平中心复合试验，建立浆液配比与性能之间的定量关系； 然后，采用多目标协同优化中的非支配排序遗传算法(NSGA-Ⅱ)与模糊决策相结合的方法对浆液配比优化结果进一步寻优。结果表明： 1）通过RSM建立的预测浆液性能的二阶多项式模型具有较高的准确性和可靠性，因子及交互作用均对浆液性能产生影响； 2）采用NSGA-Ⅱ得到满足多目标协同优化的Pareto最优解集，模糊决策在解集中确定最优配比为水固比0.852 2，灰渣比0.846 4，聚固比0.014 6； 3）通过生命周期评价计算显示，与普通砂浆相比，采用最优配比泥渣浆液可减少制浆和泥渣处置过程中的CO₂排放411.06 kg/环，累计降低成本466.75元/环。

Residual muck from earth pressure balance shield tunneling, after screening, exhibits several challenges, including a low utilization rate, environmental pollution, and occupation of farmland. Therefore, a novel approach for the resource utilization of muck to prepare synchronous grouting materials is proposed. The grout is primarily composed of muck, cement, and water and is modified with a two-component waterborne polymer. A three-factor, five-evel central composite design based on response surface methodology (RSM) is employed to establish a quantitative relationship between mixing ratio and performance. Furthermore, the optimal grout mixing ratio is refined by combining the nondominated sorting genetic algorithm (NSGA-Ⅱ) with fuzzy decision-making within a multi-objective optimization framework. The results indicate the following: (1) the second-order polynomial models developed via RSM reliably predict grout performance, with both individual factors and their interactions significantly influencing the results; (2) the NSGA-Ⅱ algorithm produces a Pareto-optimal solution set for multi-objective optimization, and fuzzy decision-making identifies the optimal mixing ratio as a water-to-solid ratio of 0.852 2, a cement-to-muck ratio of 0.846 4, and a polymer-to-solid ratio of 0.014 6; and (3) life cycle assessment results show that, compared with conventional mortar, the proposed optimal muck grout reduces CO₂ emissions by 411.06 kg per ring and decreases cumulative material and muck disposal costs by CNY 466.25 per ring.