对卷积神经网络和回归分析进行比较研究,以评估桑迪多洛米特的单轴压力强度
Meiqian Wang1,2, Wenlian Liu3,4, Haiming Liu1
1Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China.
预测桑迪多洛米特的单轴压力 (UCS) 对工程至关重要. 一种新的卷积神经网络 (CNN) 方法提供了比回归分析 (RA) 更精确的UCS预测,有效地处理数据不确定性.
科学领域:
- 地质技术工程 地质技术工程
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
背景情况:
- 桑迪多洛米特的单轴压力强度 (UCS) 对民用,地质技术和地下工程项目至关重要.
- 由于成本,时间和可行性限制,直接UCS测量往往是不切实际的.
- 准确的UCS预测对于安全高效的工程应用是必不可少的.
研究的目的:
- 开发和评估一种用于预测桑迪多洛米特UCS的间接方法.
- 为了比较卷积神经网络 (CNN) 和回归分析 (RA) 对UCS预测的性能.
- 用施密特子反弹测试来确定桑迪多洛米特的最小厚度.
主要方法:
- 从中部云南水分转移项目收集了158个带有不同沙化度的桑迪多洛米特样本.
- 使用卷积神经网络 (CNN) 和回归分析 (RA) 进行间接UCS预测.
- 使用施密特子反弹测试来确定桑迪多洛米特的最小厚度.
主要成果:
- 通过RA建立了两个高相关性回归方程,用于通过RA进行UCS预测.
- 与RA相比,CNN对桑迪多洛米特UCS的预测精度更高.
- 美国有线电视新闻网有效地管理了测试结果中固有的不确定性.
结论:
- 基于CNN的方法为预测桑迪多洛米特UCS提供了更准确和可靠的方法.
- CNN是UCS预测的高效工具,其性能优于传统的RA方法.
- 这些发现对涉及桑迪多洛米特的工程应用具有重大实际意义.
更多相关视频
08:27Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
Published on: January 5, 2024
10:27A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
Published on: June 12, 2019
相关概念视频
Strength of Cement
For compressive strength tests, ASTM C 109-05 standards prescribe a cement-sand mix ratio of 1:2.75 and a water/cement ratio of 0.485 for making 2-inch cubes. These cubes are mixed, cast, and cured in saturated lime water at 23°C until testing. Flexural strength testing, outlined in...
Relation Between Tensile Strength and Compressive Strength of Concrete
Abrasion Resistance of Concrete
One such test is the revolving disc test, where three plates...
Behavior of Concrete Under Compressive Load
As the concrete specimen fractures under...
Elasticity in Concrete
Dynamic Modulus of Elasticity of Concrete
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
