The Characterization Pattern of Overburden Deformation with Distributed Optical Fiber Sensing: An Analogue Model Test and Extensional Analysis

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 24; p. 7215
• Main Authors: Yuan, Qiang, Chai, Jing, Ren, Yiwei, Liu, Yongliang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 16-12-2020; MDPI
• Subjects: Accuracy; analogue model test; characterization; Coal mining; Deformation; distributed optical fiber sensing; Dynamic response; Environmental monitoring; Laboratories; Mechanics; Mining engineering; Model testing; Monitoring systems; Optical fibers; Overburden; overburden deformation; Pattern analysis; Sensors; Standardization; strain distribution; Zoning; analogue model test; overburden deformation; characterization; strain distribution; distributed optical fiber sensing
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20247215

The evolution of overburden deformation is crucial for safety and environmental efficiency and its monitoring is becoming a key scientific issue. The use of an optical fiber sensor (OFS) for mining engineering is now receiving praise by virtue of its distinct abilities of distribution, high accuracy, and anti-interference measurement. Nevertheless, the dynamic response of OFS monitoring on overburden deformation still needs to be characterized in detail. This paper analyzed the characterization pattern of overburden deformation based on distributed optical fiber sensing (DOFS) by means of an analogue model test. Then, we discuss the influence of rules of optical fiber embedding on a model test in a numerical simulation. The results show that the DOFS monitoring demonstrates the time-space evolution of overburden deformation and the development of three horizontal areas and three vertical zones. A standardization DOFS characterization model is proposed to expound the characterization mechanism of the overburden structure zoning process; the influence of optical fiber embedding on rock displacement in the model test is revealed, and it is found that the displacement error will increase sharply when the fiber diameter is larger than 2 mm. These findings could provide an effective solution for a monitoring method in intelligent mining from the perspective of a theoretical basis and technological system.