研究基于PIV模型的煤炭开采造成的沉降情况.
Xingsheng Zhang1, Zihui Liu2, Dubo Wang3
1School of Earth Sciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China. xingsheng.zhang@ncwu.edu.cn.
Scientific reports
|November 2, 2024
概括
煤矿沉降可能会破坏基础设施. 这项研究使用粒子图像速度测量 (PIV) 来分析层层运动,发现更厚,更浅的煤层会导致更大的沉降,有助于灾害预测.
科学领域:
- 地质技术工程 地质技术工程
- 采矿工程 采矿工程 采矿工程
- 地震工程的工程是地震工程.
背景情况:
- 煤矿沉降对地表结构和基础设施构成重大风险.
- 采矿诱导沉降的动态分析对于预测和减轻潜在故障至关重要.
- 了解沉降机制的现有方法需要进一步改进,以便准确预测.
研究的目的:
- 调查煤炭开采造成的岩层运动和沉降模式.
- 分析挖掘厚度和煤层深度对沉降幅度的影响.
- 评估粒子图像速度计 (PIV) 在研究煤矿沉降中的有效性.
主要方法:
- 使用原型和室内物理模型相似性实验.
- 应用粒子图像速度测量 (PIV) 技术来可视化和量化层的运动.
- 在实验模型中,挖掘厚度和煤层深度各不相同.
主要成果:
- 证明了煤炭开采厚度增加和沉降幅度增加之间的直接相关性.
- 观察到较浅的煤层导致更显著的表面沉降.
- 量化了采矿过程中覆盖层移动的空间分布和大小.
结论:
- 粒子图像速度测量 (PIV) 是研究煤矿沉降机制的有效方法.
- 这些发现为预测沉降模式和潜在的基础设施故障提供了宝贵的见解.
- 将PIV与现场监测数据相结合,可以提高沉降预测和减灾工作的准确性.
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