Study on deformation monitoring and pre-failure information identification of coal samples based on OFDR-AE

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Dingding Zhang , Long Yang , Mengqing Qin , Jing Chai
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引用次数: 0

Abstract

In order to obtain internal strain evolution during crack propagation and damage in coal samples, this paper proposes a combined monitoring approach using Optical Frequency Domain Reflectometry (OFDR) and Acoustic Emission (AE) technologies. Five optical fiber sensors and AE probes were installed on a cubic coal sample (100 * 100 * 100 mm), and uniaxial compression tests were conducted to examine the strain evolution under both uniaxially and the staged loading paths. The results indicate that OFDR accurately measures internal strain and captures strain evolution across various loading stages, including compaction, elastic, yield, and post-peak failure. A sharp increase in the non-uniform deformation index (Sw) during the yield stage and a “fluctuation-stabilization-decline” trend in the AE b-value serve as precursors to coal body failure. This research further introduces the Sw/b failure criterion, providing an effective basis for predicting the failure mode of coal bodies. By combining OFDR and AE techniques, this research addresses the spatial and temporal resolution limitations of traditional monitoring methods. The proposed Sw/b failure criterion offers valuable insights for monitoring coal body deformation and damage.
基于OFDR-AE的煤样变形监测与破坏前信息识别研究
为了获得煤样裂纹扩展和损伤过程中的内部应变演化,本文提出了一种采用光频域反射(OFDR)和声发射(AE)相结合的监测方法。在立方煤样(100 * 100 * 100 mm)上安装5个光纤传感器和声发射探头,进行单轴压缩试验,研究单轴加载路径和分级加载路径下的应变演化规律。结果表明,OFDR可以准确测量内部应变,并捕获不同加载阶段的应变演变,包括压实、弹性、屈服和峰后破坏。屈服阶段非均匀变形指数(Sw)的急剧增加和声发射b值呈“波动-稳定-下降”趋势,是煤体破坏的前兆。进一步引入了Sw/b破坏准则,为预测煤体破坏模式提供了有效依据。通过OFDR和AE技术的结合,解决了传统监测方法在空间和时间分辨率上的局限性。提出的Sw/b破坏准则对监测煤体变形和破坏具有重要意义。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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