土压平衡盾构出渣量智能联控与沉降主动控制技术研究
作者简介:
赵保森,高级工程师,Email: 252869464@qq.com
作者单位:
(1.中建一局集团第五建筑有限公司,北京100024; 2.中国建筑一局(集团)有限公司,北京100161)
基金项目:
*中建一局2022年度科技研发课题:富水岩溶发育条件下大直径长距离盾构关键技术研究(KJYF-2022-71)
摘要:
为攻克复合地层盾构下穿敏感浅基础建筑群,因软硬不均岩层导致出渣量超排、地层扰动加剧及沉降风险高的技术难题,依托广州芳白城际夏白区间实践,构建了一套集地质理论计算、皮带机动态称重、渣斗容量校准与盾构油缸行程动态标定于一体的出渣量多源数据实时联控系统。通过建立油缸行程差与单斗装渣量的精准对应模型,设定动态安全控制区间,实现对每斗超挖风险的即时预警;进而将识别出的超挖量转化为下环同步注浆补偿量,并联动调整掘进参数,形成“感知预警补偿”的闭环智能控制。结果表明:该技术体系成功保障了盾构下穿工业厂房区的安全,建筑物累积最大沉降仅-30mm,监测点平均值-031mm,沉降控制效果显著。

English:
To address the technical challenges of tunneling through sensitive shallowfoundation building clusters in complex geological formations, including excessive muck discharge, increased ground disturbance, and high settlement risks caused by uneven rock hardness, a realtime multisource data control system for muck discharge was developed based on the practical experience gained during the section between the Xiamao Station and Baiyun City Center Station of the FangcunBaiyun Airport Intercity Railway in Guangzhou City. This system integrates geological theoretical calculations, dynamic belt conveyor weighing, muck bucket capacity calibration, and dynamic calibration of shield cylinder stroke. By establishing a precise correlation model between cylinder stroke deviation and singlebucket muck volume and by setting dynamic safety control ranges, the system enables realtime early warning of overexcavation risks for each bucket. Furthermore, the identified overexcavation volume is converted into the synchronous grouting compensation volume for the lower ring, and excavation parameters are adjusted in tandem, forming a closedloop intelligent control system of “sensingwarningcompensation.” Results indicate that this technical system successfully ensured the safety of the shield tunnel passing beneath an industrial plant area, with a maximum cumulative building settlement of only -30mm and an average settlement at monitoring points of -031mm, indicating significant settlement control effectiveness. The active settlement control technical system developed through this research has effectively enhanced the safety and level of intelligence in shield tunneling projects passing beneath structures in complex environments.