岩石断裂预测和早期预警的方法:多物理场信息融合的洞察力
Qiangqiang Gao1, Liqiang Ma1,2,3,4, Wei Liu1
1School of Mines, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China.
Heliyon
|May 22, 2024
概括
这项研究整合了红外辐射和声辐射监测,以检测岩石裂变前体. 一个新的"声热应力"模型识别了0.77σmax的前体,提高了采矿和地质工程的安全性.
科学领域:
- 地质技术工程 地质技术工程
- 矿业安全 矿业安全
- 岩石机械学 岩石机械学
背景情况:
- 识别岩石裂变前体对于采矿和地质工程项目的安全至关重要.
- 综合监测系统是必要的,以有效地辨别这些前体.
- 现有的方法通常依赖于单个物理场,限制了强度.
研究的目的:
- 开发岩石裂变前体的综合评估模型.
- 提出一种新的方法来识别使用融合数据的岩石裂变前体.
- 为了提高岩石断裂预测系统的稳定性和准确性.
主要方法:
- 使用了一种岩石多参数监测加载系统,集成红外辐射和声学辐射.
- 使用主要组件分析 (PCA) 开发了一种"声学热应力"融合信息模型.
- 提出了一种基于融合模型的第一个衍生品的前体鉴定方法.
主要成果:
- 建立了岩石损伤反应的灵敏度序列:累积声辐射计数,平均红外辐射温度 (AIRT) 和压力.
- 在0.77σmax的平均应力水平下确定了岩石裂变前体.
- 定义了岩石损伤的概率函数,使基于概率的警告成为可能.
结论:
- "声热应力"的融合模型增强了岩石断裂前体监测.
- 提出的方法提供了一个强大的方法,克服了单一领域监测的局限性.
- 这些发现对采矿和地质工程的安全监测和预警系统做出了重大贡献.
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