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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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使用监督机器学习技术预测球磨机磨砂特性的石灰岩单轴压力强度

Sahas V Swamy1, Bijay Mihir Kunar2, Karra Ram Chandar2

  • 1National Institute of Technology Karnataka Surathkal, Mangaluru, 575025, India. sahas.197mn003@nitk.edu.in.

Scientific reports
|August 4, 2025
PubMed
概括

本研究引入了一种新的间接方法,用于使用球磨机研磨特性和机器学习来预测单轴压缩强度 (UCS). 随机森林模型实现了高精度,为传统实验室测试提供了具有成本效益的替代方案.

关键词:
研磨的特性 研磨的特性超参数优化超参数优化绩效指标是指性能指标.预测模型的预测模型.有监督的机器学习.单轴压力强度的一个轴.

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Behavior of Concrete Under Compressive Load01:23

Behavior of Concrete Under Compressive Load

Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
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Relation Between Tensile Strength and Compressive Strength of Concrete

Concrete is a fundamental building material, and understanding its strengths is crucial for construction projects. The relationship between its tensile and compressive strengths is intricate, showing that while these strengths are related, they do not increase at the same rate. Tensile strength's growth is slower and is affected by various factors such as the methods used for testing, the size and shape of the specimen, the texture of the aggregate used, and the moisture content of the...
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Strength of Cement

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Non-destructive Tests for Concrete Strength01:12

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Dynamic Modulus of Elasticity of Concrete

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