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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Damage Detection and Evaluation for an In-Service Shield Tunnel Based on the Monitored Increment of Neutral Axis Depth Using Long-Gauge Fiber Bragg Grating Sensors
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Damage Detection and Evaluation for an In-Service Shield Tunnel Based on the Monitored Increment of Neutral Axis Depth Using Long-Gauge Fiber Bragg Grating Sensors

机译：基于长距离光纤布拉格光栅传感器监测的中轴深度增量的在役盾构隧道损伤检测与评估

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摘要

It is difficult to detect and evaluate the structural damage in a shield tunnel during operation because many traditional techniques based on the observation of vibrations are limited in daily monitoring in tunnels. Thus, the curvature radius of a static longitudinal settlement curve is used to identify the residual health and safety of an in-service shield tunnel. However, there are still two problems. The curvature radius is suitable for a qualitative judgment rather than a quantitative evaluation for longitudinal damage detection. Moreover, the curvature radius, which is calculated from the measured settlements of three neighboring points, gives an average damage degree in a wide scope only and is difficult to use to identify the damage’s precise location. By means of the analysis of three kinds of longitudinal failure modes in a shield tunnel, this paper proposes: (1) a damage detection method based on the monitored increment of the neutral axis depth; and (2) an index to evaluate longitudinal damage. The index is composed of the residual ratios of the equivalent flexural stiffness (HFM1) and the equivalent shear stiffness (HFM3). The neutral axis position and the proposed damage index can be determined using long-gauge Fiber Bragg Grating sensors. Results from numerical simulations show that the deviation between the HFM1 and the true value residual ratio of the equivalent flexural stiffness is no more than 1.7%. The HFM3 is equal to its true value in the entire damage process. A loading experiment for a scaled-down model of a shield tunnel using long-gauge Fiber Bragg Grating sensors indicated that the errors in the HFM1 were no more than 5.0% in the case of early damage development (HFM1 ≥ 0.5). The maximum error did not exceed 9.0% even under severe damage conditions in the model. Meanwhile, the HFM3 also coincided with its true value in the entire testing process.
机译：由于许多基于振动观察的传统技术在隧道的日常监测中受到限制，因此在操作期间很难检测和评估盾构隧道中的结构破坏。因此，静态纵向沉降曲线的曲率半径用于确定在役盾构隧道的剩余健康状况和安全性。但是，仍然存在两个问题。曲率半径适合用于定性判断，而不是用于纵向损伤检测的定量评估。而且，曲率半径是根据三个相邻点的实测值计算得出的，它只能在很宽的范围内给出平均损伤程度，并且很难用于识别损伤的精确位置。通过对盾构隧道中三种纵向破坏模式的分析，提出：（1）基于中性轴深度监测增量的损伤检测方法； （2）评价纵向损伤的指标。该指数由等效抗弯刚度（HFM1）和等效抗剪刚度（HFM3）的剩余比率组成。可以使用长距离光纤布拉格光栅传感器确定中性轴位置和建议的损坏指数。数值模拟结果表明，HFM1与等效抗弯刚度的真值残差比之间的偏差不超过1.7％。在整个损坏过程中，HFM3等于其真实值。使用长距离光纤布拉格光栅传感器对盾构隧道按比例缩小模型进行的加载实验表明，在早期损伤发展（HFM1≥0.5）的情况下，HFM1中的误差不超过5.0％。即使在模型中出现严重损坏的情况下，最大误差也不超过9.0％。同时，HFM3在整个测试过程中也符合其真实价值。

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