沉管隧道基础灌砂过程监测及填充状态评价

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (24) : 204-211.

论文

沉管隧道基础灌砂过程监测及填充状态评价

徐子瑶，车爱兰，周晗旭，袁刚烈，韩兆龙

作者信息 +

Sand filling process monitoring and filling status evaluation of immersed tunnel foundation

XU Ziyao,CHE Ailan,ZHOU Hanxu,YUAN Ganglie,HAN Zhaolong

Author information +

文章历史 +

摘要

沉管隧道的沉降主要由荷载、基础充填层等控制，基础充填层的填充状态直接影响沉管隧道的长期服役性能。由于基础充填层施工属于隐蔽工程，目前的砂量控制、压力监测、位移测量及施工后潜水探摸等间接测试方法，无法满足基础层填充效果评估的要求。利用弹性波响应强度与填充层映射关系，结合支持向量机算法，本文提出了基础灌砂充填状态评价模型。采用弹性波测试技术实时监测广州车陂路沉管隧道基础灌砂过程，对采集的弹性波数据进行时域、频域和时频域的分析，确定影响填充状态的弹性波特征参数。填充过程中灌砂层实时变化，各项特征参数均呈现动态波动的特征。根据砂盘形成机制将基础填充状态定义为砂盘形成、砂盘扩展两个状态，将灌砂总时间前30%采集的弹性波数据样本定义为未灌满状态，将砂盘扩展状态中与管节抬升、压力等监测结果一致的弹性波数据样本定义为灌满状态，开展支持向量机模型训练，模型查准率为87.5%。利用该模型对新修建的管节的砂盘扩散半径进行实时监测，结果表明随着灌砂的进行，砂盘扩展速度在进程前期快速衰减，后期趋于平稳且受到边界条件干涉的砂盘扩展速度比不受干涉的砂盘高23%。该管节工后沉降控制在2.5cm内，验证了模型的有效性。

Abstract

The settlement of immersed tunnel is mainly controlled by load and foundation filling layer, and the filling state of foundation filling layer directly affects the long-term service performance of immersed tunnel. Due to the construction of foundation filling layer is a concealed project, the current indirect testing methods such as sand volume control, pressure monitoring, displacement measurement and post construction diving exploration cannot meet the requirements of cushion filling effect evaluation. Based on the mapping relationship between elastic wave response strength and filling layer, combined with support vector machine algorithm, an evaluation model for basic sand filling is proposed in this paper. The elastic wave testing is used to monitor the sand filling process of Guangzhou chebei road tunnel in real time. The elastic wave data are analyzed in time domain, frequency domain and time-frequency domain to determine the characteristic parameters of elastic wave response that affect the filling state of the immersed tunnel foundation. Due to the real-time change of the sand filling layer during the filling process, the characteristic values show dynamic fluctuations. According to the formation mechanism of sand pan, the foundation filling state is defined as two states: sand pan formation and sand pan expansion. The elastic wave data samples collected in the first 30% of the total sand filling time are defined as the underfilled state, and the elastic wave data samples in the expanded state of the sand pan that are consistent with the monitoring results such as pipe joint lifting and pressure are defined as the filled state. Support vector machine model training is carried out, and the model precision is 87.5%. The model is used to monitor the diffusion radius of the sand disc of the newly built pipe joint in real time and quantitatively. The results show that with the progress of sand filling, the expansion speed of sand pan decreases rapidly in the early stage of the process, and tends to be stable in the later stage. The expansion speed of sand pan interfered by boundary conditions is 23% higher than that of sand pan not interfered with. The post construction settlement of the pipe joint is controlled within 2.5 cm, which verifies the effectiveness of the model.

导出引用

徐子瑶，车爱兰，周晗旭，袁刚烈，韩兆龙. 沉管隧道基础灌砂过程监测及填充状态评价[J]. 振动与冲击, 2023, 42(24): 204-211

XU Ziyao,CHE Ailan,ZHOU Hanxu,YUAN Ganglie,HAN Zhaolong. Sand filling process monitoring and filling status evaluation of immersed tunnel foundation[J]. Journal of Vibration and Shock, 2023, 42(24): 204-211

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