• CSCD核心中文核心科技核心
  • RCCSE(A+)公路运输高质量期刊T1
  • Ei CompendexScopusWJCI
  • EBSCOPж(AJ)JST
二维码

隧道建设(中英文) ›› 2026, Vol. 46 ›› Issue (3): 542-550.DOI: 10.3973/j.issn.2096-4498.2026.03.008

• 研究与探索 • 上一篇    下一篇

土压平衡盾构泥渣资源化制备同步注浆材料配比优化

孙大增1, 赵文1, *, 韩要闯1, 柏谦1, 王鑫1, 齐鹏2, 彭高扬3   

  1. (1. 东北大学资源与土木工程学院, 辽宁 沈阳 110819; 2. 沈阳盾构设备工程有限公司, 辽宁 沈阳 110000;3. 南京地铁运营有限责任公司, 江苏 南京 210000)
  • 出版日期:2026-03-20 发布日期:2026-03-20
  • 作者简介:孙大增(1994—),男,辽宁本溪人,东北大学土木工程专业在读博士,研究方向为盾构隧道渣土资源化利用。 E-mail: 873907305@qq.com。 *通信作者: 赵文, E-mail: wenneu@163.com。

Resource Utilization of Residue Muck From Earth Pressure Balance Shield Tunneling for Preparation of Synchronous Grouting Materials: Mixing Ratio Optimization

SUN Dazeng1, ZHAO Wen1, *, HAN Yaochuang1, BAI Qian1, WANG Xin1, QI Peng2, PENG Gaoyang3   

  1. (1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, Liaoning, China; 2. Shenyang Shield Equipment Engineering Company Limited, Shenyang 110000, Liaoning, China; 3. Nanjing Metro Operation Company Limited, Nanjing 210000, Jiangsu, China)
  • Online:2026-03-20 Published:2026-03-20

摘要: 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。

关键词: 盾构隧道, 泥渣, 同步注浆材料, 配比优化, 生命周期评价

Abstract: 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.

Key words: shield tunnel, muck, synchronous grouting material, mixing ratio optimization, life cycle assessment