College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK.
School of Optoelectronic Engineering, Qilu University of Technology, Jinan 250353, China.
Sensors (Basel). 2022 Jul 12;22(14):5213. doi: 10.3390/s22145213.
Civil engineering assets and geo-structures continually deteriorate during their lifetime, particularly in harsh environments that may be contaminated with corrosive substances. However, efficient and constant structural health monitoring and accurate prediction of the service-life of these assets can help to ensure their safety, performance, and health conditions and enable proper maintenance and rehabilitation. Nowadays, many of the largest cities throughout the world are situated in coastal zones, leading to a dramatic increase in the construction of nearshore geo-structures/infrastructures which are vulnerable to corrosion attacks resulting from salinity contamination. Additionally, seawater intrusion can threaten the quality and the sustainability of fresh groundwater resources, which are a crucial resource in coastal areas. To address these issues, detection of salinity in soil utilizing a novel polymer optical fibre Bragg grating (POFBG) sensor was investigated in this research. Experiments were carried out at different soil water contents with different salinities to assess the sensor's response in a representative soil environment. The sensitivity of the POFBG sensor to salinity concentrations in water and soil environment is estimated as 58 ± 2 pm/%. The average standard error value in salinity is calculated as 0.43% for the samples with different soil water contents. The results demonstrate that the sensor is a promising and practical tool for the measurement and monitoring with high precision of salinity contamination in soil.
土木工程资产和地质结构在其使用寿命期间会不断恶化，特别是在可能受到腐蚀性物质污染的恶劣环境中。然而，高效且持续的结构健康监测以及对这些资产使用寿命的准确预测有助于确保其安全性、性能和健康状况，并能进行适当的维护和修复。如今，世界上许多最大的城市都位于沿海地区，这导致近海地质结构/基础设施的建设急剧增加，而这些结构/基础设施容易受到盐分污染引起的腐蚀攻击。此外，海水入侵会威胁到沿海地区淡水地下水资源的质量和可持续性，而这些水资源是至关重要的资源。为了解决这些问题，本研究探讨了利用新型聚合物光纤布拉格光栅（POFBG）传感器检测土壤中的盐分。在不同土壤含水量和不同盐度下进行了实验，以评估传感器在代表性土壤环境中的响应。POFBG 传感器对水和土壤环境中盐浓度的灵敏度估计为 58±2 pm/％。对于具有不同土壤含水量的样本，盐度的平均标准误差值计算为 0.43％。结果表明，该传感器是一种有前途且实用的工具，可用于高精度测量和监测土壤中的盐分污染。
