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相关概念视频

Design of Columns under a Centric Load01:17

Design of Columns under a Centric Load

134
The design of columns under centric load is a fundamental aspect of structural engineering and is critical for ensuring the stability and integrity of structures. Euler's and Secant's formulas are central to understanding and calculating the critical load and deformation behaviors of columns, providing a basis for safe and effective structural design.
Euler's formula is applicable under the assumption that the column is a perfect, straight, homogenous prism, and it is operating...
134
Behavior of Concrete Under Compressive Load01:23

Behavior of Concrete Under Compressive Load

197
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.
As the concrete specimen fractures under...
197
Eccentric Loading01:16

Eccentric Loading

411
Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
411
Relation Between Tensile Strength and Compressive Strength of Concrete01:30

Relation Between Tensile Strength and Compressive Strength of Concrete

235
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...
235
Euler's Formula for Pin-Ended Columns01:21

Euler's Formula for Pin-Ended Columns

336
In structural engineering, the stability of columns under compressive axial loads is a critical consideration, described as buckling. A typical example involves a column PQ, which is pin-connected at both ends and subjected to a centric axial load F applied at one end, with a reaction force of F' = -F at the other end. Here, it is crucial to understand that when an applied load exceeds the critical load, buckling occurs as the system becomes unstable.
To calculate the critical load,...
336
Design of Columns under an Eccentric Load01:21

Design of Columns under an Eccentric Load

571
Designing columns to withstand eccentric loads is a critical aspect of structural engineering, ensuring structures can support off-center loads without failure. This design process must account for the additional normal stresses introduced by eccentric loading, which can significantly influence a column's stress distribution and overall stability. An eccentric load applied to a column induces normal stresses that can be conceptualized as a combination of stresses due to an equivalent...
571

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相关实验视频

Updated: Jul 15, 2025

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使用机器学习优化在不同的负载场景下预测RCFST柱的压力强度.

Feng Wu1, Fei Tang2, Ruichen Lu3

  • 1School of Architectural Engineering, Xinyang Vocational and Technical College, Xinyang, 464000, China.

Scientific reports
|October 3, 2023
PubMed
概括

一个新的网格搜索支持向量机回归 (GS-SVR) 模型准确地预测了矩形混凝土填充钢管柱 (RCFST) 的压力强度. 这种机器学习方法为RCFST列设计提供了可靠的替代方案.

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科学领域:

  • 结构工程 结构工程
  • 材料科学 材料科学 材料科学
  • 计算力学 计算力学 计算力学

背景情况:

  • 准确评估承载能力对于设计混凝土填充钢管 (CFST) 柱子至关重要.
  • 现有的设计代码和传统的机器学习模型可能在预测矩形CFST (RCFST) 列的最终压力强度方面存在局限性.

研究的目的:

  • 开发和验证一种基于优化的机器学习方法,用于估计RCFST列的最终压力强度.
  • 将拟议模型的性能与现有的机器学习模型和设计码进行比较.

主要方法:

  • 开发一个混合电网搜索支持向量机回归 (GS-SVR) 模型.
  • 训练和测试GS-SVR模型,使用1003个轴负载和401个异常负载RCFST测试案例的综合数据集.
  • 将GS-SVR与其他机器学习模型和已建立的设计代码进行比较分析.

主要成果:

  • 该GS-SVR模型在轴向和偏心负载条件下表现出卓越的预测性能.
  • 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%. 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%. 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%. 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%. 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%. 对于轴承负荷,R2=0.983,MAE=177.062,RMSE=240.963,MAPE=12.209%,MAPE=12.209%,MAPE=12.
  • 对于异常负荷,R2=0.984,MAE=93.234,RMSE=124.924,MAPE=10.032%,而在异常负荷下,R2=0.984,MAE=93.234,RMSE=124.924,MAPE=10.032%,而在异常负荷下,R2=0.984,MAE=93.234,RMSE=124.924,MAPE=10.032%,而在异常负荷下,R2=0.984,MAE=93.234,RMSE=124.924,MAPE=10.032%.

结论:

  • 在各种负载条件下,GS-SVR模型非常有效地预测RCFST柱的压力强度.
  • 这种机器学习方法作为一个有价值的工具来协助和指导RCFST列的设计,可能减少实验成本和设计时间.
  • 该研究还研究了输入参数对模型预测的影响.