准确的测量技术和预测方法用于现场岩石应力
Peng Li1,2, Meifeng Cai3, Shengjun Miao3
1Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian District, Beijing, 100083, China. pengli@ustb.edu.cn.
改进的覆盖技术提高了现场岩石应力测量的准确性. 嵌入式灰色BP神经网络 (GM-BPNN) 模型准确地预测压力,优于地下工程的传统方法.
科学领域:
- 地质技术工程 地质技术工程
- 岩石力学 岩石力学 岩石力学
- 地质物理学 地质物理学
背景情况:
- 准确的现场岩石应力张量评估对于地下工程和地球科学至关重要.
- 现有的测量和预测方法在准确性和可靠性方面面临挑战.
研究的目的:
- 为了提高现场岩石应力测量和预测的准确性.
- 开发一个可靠的模型来预测现场岩石应力值.
主要方法:
- 一种改进的超芯技术,包括测量电路,温度补偿和高级计算.
- 开发和应用嵌入式灰色BP神经网络 (GM-BPNN) 模型用于压力预测.
主要成果:
- 改进的超焦技术显示,压力测量准确度显著提高.
- 与GM (6-30%) 和BPNN (<10%) 模型相比,GM-BPNN模型实现了更高的预测准确性 (平均相对误差为0.0001-4.8338%).
- 这项技术的性能得到了广泛的矿山数据的验证.
结论:
- 改进的超芯技术提供了可靠的现场应力测量.
- 嵌入式GM-BPNN模型对于现场岩石应力预测非常有效,尤其是在有限的数据的情况下.
- 这种综合方法为地下工程应用提供了显著的进步.
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