提高爆炸物利用效率:一种机器学习的应用,用于使用关键岩石特征进行粉末因素预测
Blessing Olamide Taiwo1, Angesom Gebretsadik2,3, Hawraa H Abbas4,5
1Department of Mining Engineering, Federal University of Technology, Akure, Nigeria.
Heliyon
|July 18, 2024
概括
机器学习模型准确地预测了喷气作业中的粉末因子. 决策树模型的表现优于其他模型,提高了采矿的效率和成本效益,特别是在小规模运营中.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 地质技术工程 地质技术工程
- 计算智能是一种计算智能.
背景情况:
- 优化爆炸物使用对于采矿生产率和成本效益至关重要.
- 准确的粉末因素预测对于有效的爆炸物部署至关重要.
- 岩石的特性显著地影响了爆炸的结果.
研究的目的:
- 通过机器学习来提高粉末因子预测的准确性.
- 为了确定影响粉末因子的关键岩石因素.
- 改进爆炸作业的规划和执行.
主要方法:
- 使用的机器学习模型:决策树和人工神经网络.
- 分析了尼日利亚一座多洛米特矿180次爆炸弹的数据.
- 雇员绩效指标:RMSE,MAE,R-squared,和VAF. 这些指标包括:RMSE,MAE,R-squared和VAF.
主要成果:
- 决策树模型 (MD4) 与ANN和GPR相比显示出更高的性能.
- 确定了影响粉末因子的关键岩石因素.
- 开发了一种人工神经网络方程 (MD2),用于最佳的粉末因子估计.
结论:
- 机器学习,特别是决策树,提供了增强的粉末因子预测精度.
- 这些发现对于优化喷气作业,特别是小规模采矿,是非常有价值的.
- 准确的预测可以提高爆破碎片和运营效率.
相关概念视频
Compacting Factor test
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The compacting factor test is a method used to assess the workability of concrete. It is especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
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Factors Affecting Workability
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The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...
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Factors Affecting Creep
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In normal-weight aggregate concrete, the hardened cement paste is the primary contributor to creep, whereas the aggregates, being stiffer than the cement paste, are more resilient to stress-induced deformation. The stiffness of the aggregates is defined by their modulus of elasticity, and the more voluminous they are in the concrete, the less it will creep.
Further, the water/cement ratio is critical, as a lower ratio increases concrete strength, thus reducing creep. The strength of the...
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Design Consideration
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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
The factor of safety is another key...
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Fineness Modulus
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The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
340


