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相关概念视频

Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

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The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
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 a...
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Methods of Obtaining Topography01:25

Methods of Obtaining Topography

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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

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When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
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Topographic Surveying and Contours01:29

Topographic Surveying and Contours

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Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
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Transformation of Plane Strain01:12

Transformation of Plane Strain

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When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
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Temperature Dependent Deformation01:12

Temperature Dependent Deformation

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In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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相关实验视频

Updated: Jan 13, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于PSO-SVM模型的深度挖掘土壤参数逆转和变形预测.

Jing Zhao1, Longhui Chen1, Hongyin Yang2

  • 1China Railway 11th Bureau Group First Engineering Co., Ltd., Xiangyang 441199, China.

Sensors (Basel, Switzerland)
|October 29, 2025
PubMed
概括

本研究引入了一种粒子群优化支持矢量机 (PSO-SVM) 模型,用于在深度挖掘过程中准确确定土壤参数. 这种方法提高了有限元分析的精度,并有效地预测了保留结构变形.

关键词:
这是一个PSO-SVM模型.在深度挖掘的过程中,深度挖掘.变形预测变形预测有限元素模拟的模拟器.土壤参数的反转逆转.

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科学领域:

  • 地质技术工程 地质技术工程
  • 计算力学 计算力学 计算力学

背景情况:

  • 在深度挖掘过程中,土壤参数发生变化,影响有限元素分析的准确性.
  • 准确的土壤参数对于预测保持结构行为至关重要.

研究的目的:

  • 使用PSO-SVM模型开发土壤参数的反转方法.
  • 为了提高深度挖掘中有限元素分析的精度.
  • 为了准确预测保持结构的变形.

主要方法:

  • 使用粒子群集优化 (PSO) 来优化支向量机 (SVM) 参数 (C和g).
  • 通过直角实验设计和有限元模拟,建立了水平位移和土壤参数之间的非线性映射.
  • 从监测数据中逆转了土壤参数,并验证了它们的可靠性.

主要成果:

  • 在峰值最大水平位移时,达到<1mm的绝对误差.
  • 将最大相对误差从18.96%降低到7.63%.
  • 证明了反向土壤参数的高精度和改进的有限元模拟精度.

结论:

  • 在深度挖掘中,PSO-SVM反转方法显著提高了土壤参数的准确性.
  • 该方法有效地反映了土壤在施工过程中的机械性能.
  • 倒置参数可以在安全值内可靠地预测随后的支结构变形.