Wang Jiangdong, Xiong Ziming, Li Sheng, Lu Hao, Sun Minqian, Li Zhizhong, Chen Hao
State Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, China.
Sensors (Basel). 2025 Apr 21;25(8):2619. doi: 10.3390/s25082619.
The accurate and real-time monitoring of key-point displacements in cavern structures is crucial for assessing structural safety and stability. However, traditional monitoring methods often fail to meet the high-precision requirements in complex environments. This study explored the potential application of fiber optic sensors in monitoring key-point displacements by leveraging their sensitivity to optical parameters and spectral changes. Through theoretical analysis, a linear relationship model between key-point displacements and circumferential strain was derived and validated via uniaxial compression tests. Further numerical simulations revealed that different material properties and structural characteristics significantly affect the slope and intercept of the fitting curve, establishing a correlation between these factors and the model parameters. The results demonstrated that fiber optic sensors could accurately measure circumferential strain within the elastic range and reliably reflect key-point displacement trends through the linear relationship model. This paper provides a new theoretical basis for the application of fiber optic sensors in structural health monitoring and expands their potential in civil and geotechnical engineering fields, offering scientific support for engineering design optimization and disaster prevention.
对洞室结构关键点位移进行准确、实时监测对于评估结构安全与稳定性至关重要。然而,传统监测方法在复杂环境中往往无法满足高精度要求。本研究利用光纤传感器对光学参数和光谱变化的敏感性,探索其在监测关键点位移方面的潜在应用。通过理论分析,推导了关键点位移与周向应变之间的线性关系模型,并通过单轴压缩试验进行了验证。进一步的数值模拟表明,不同的材料特性和结构特征显著影响拟合曲线的斜率和截距,建立了这些因素与模型参数之间的相关性。结果表明,光纤传感器能够在弹性范围内准确测量周向应变,并通过线性关系模型可靠地反映关键点位移趋势。本文为光纤传感器在结构健康监测中的应用提供了新的理论依据,拓展了其在土木和岩土工程领域的潜力,为工程设计优化和防灾提供了科学支持。