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Related Experiment Video

Updated: May 26, 2026

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Evolution Characteristics of Void in the Caving Zone Using Fiber Optic Sensing.

Jing Chai¹, Fengqi Qiu¹, Lei Zhu²

¹College of Energy Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.

Sensors (Basel, Switzerland)

|January 23, 2024

Summary

This study uses fiber optic sensing to monitor rock mass voids during mining. Understanding void evolution and stress states improves backfilling efficiency and rock mass stability.

Keywords:

fiber optic sensing mining process overhanging rock mass collapse strain monitoring void evolution

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Last Updated: May 26, 2026

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Real-Time Void Spot Assay

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Published on: February 10, 2023

Area of Science:

Geotechnical Engineering
Mining Engineering
Rock Mechanics

Background:

Low filling efficiency in backfilling is linked to unclear void evolution in collapsed rock masses.
Accurate monitoring of rock mass voids is crucial for effective mining and backfilling operations.

Purpose of the Study:

To investigate the evolution characteristics of voids in overlying collapsed rock masses during mining.
To develop and validate a void zoning method using fiber optic sensing.
To understand the relationship between void expansion and rock mass stress states.

Main Methods:

Utilizing fiber optic sensing technology for real-time strain monitoring.
Conducting physical model experiments to study void dimensions and deformation.
Analyzing fiber optic sensing data to correlate void expansion with stress states.

Main Results:

Rock mass voids gradually expand with mining, showing complex spatial distributions.
Void expansion is closely related to the rock mass stress state.
Stress regulation is identified as key to preventing void expansion and instability.

Conclusions:

Fiber optic sensing enables precise monitoring and zoning of rock mass voids.
The proposed void zoning method is validated by theoretical and experimental results.
Findings provide valuable insights for backfilling engineering and parameter optimization.