在岩石道中通过分析方法和TSFS模型模拟EPB-TBM切头扭矩和推力
Hanan Samadi1, Jafar Hassanpour1
1School of Geology, College of Science, University of Tehran, Tehran, Iran.
Heliyon
|June 3, 2024
概括
分析切头扭矩和推力对于道钻机 (TBM) 的选择和操作至关重要. 这项研究适应了硬岩条件的模型,在预测EPB机器性能方面取得了很高的准确性.
科学领域:
- 地质技术工程 地质技术工程
- 道技术 道技术
- 机器学习应用 机器学习应用
背景情况:
- 精确估计切割头扭矩和推力对于道钻机 (TBM) 的选择和地球压力平衡 (EPB) 机器的操作至关重要.
- 该研究解决了在德黑兰地铁6号线南延项目 (TML6-SE) 中使用经过翻新的EPB机器进行硬岩挖掘的挑战.
- 最初设计用于柔软地面的EPB机器,被调整为使用圆盘切割机在密集的石灰岩中进行挖掘.
研究的目的:
- 用TML6-SE项目的数据分析硬岩条件下的切割头扭矩和推力.
- 评估地质技术和操作参数对EPB机器性能的影响.
- 修改现有的理论模型来估计硬岩钻探中的扭矩和推力,并使用塔卡吉-苏格诺模糊系统 (TSFS) 验证它们.
主要方法:
- 编制一个数据库,包含TML6-SE项目的457个数据点.
- 修改了EPB机器扭矩和推力估计的理论模型,以适应硬岩挖掘.
- 塔卡吉-苏格诺模糊系统 (TSFS) 的应用用于预测分析.
主要成果:
- 开发的模型在预测切头扭矩和推力方面表现出很高的准确性,R2值超过0.7.
- 关于各种参数对EPB在硬岩石中的机器性能的影响,得出了定量结论.
- 测量和预测参数之间的比较证实了拟议模型的可靠性和令人满意的准确性.
结论:
- 这项研究为EPB机器在硬岩道挖掘中的性能提供了宝贵的见解.
- 为了在具有挑战性的地质条件下准确预测扭矩和推力,需要对理论模型进行调整.
- 修改后的模型和TSFS为优化EPB机器在硬岩环境中的操作提供了可靠的方法.
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