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相关概念视频

Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

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While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
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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...
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Multimachine Stability01:25

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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相关实验视频

Updated: Jun 3, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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使用基于自动机器学习 (AutoML) 的方案预测最大的预期余震地面运动.

Xiaohui Yu1, Meng Wang2, Chaolie Ning2

  • 1College of Civil Engineering and Architecture, Guilin University of Technology, Guilin, China.

Scientific reports
|January 6, 2025
PubMed
概括

自动机器学习 (AutoML) 准确预测余震后的地面运动,这对于地震后的结构安全至关重要. 这种方法预测了地震需求,提高了抗灾能力.

关键词:
人工余震使地面运动发生.自动化机器学习 (AutoML)主震 - 余震的序列峰值柔性要求要求的要求.频谱加速的频谱加速度.

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科学领域:

  • 地震工程的工程是地震工程.
  • 计算地震学计算地震学
  • 机器学习应用 机器学习应用

背景情况:

  • 余震对被主震削弱的结构构成重大风险,需要准确的地震需求评估.
  • 记录的余震数据的稀缺性阻碍了用于结构分析的可靠合成地面运动的开发.
  • 现有的方法难以捕捉主震和余震地面运动之间的光谱差异和相互依赖.

研究的目的:

  • 开发一种使用自动机器学习 (AutoML) 的创新方法来预测最大预期余震的加速谱 (Sa).
  • 为了生成合成余震加速图,准确地表示对受主震-余震序列影响的结构的地震需求.
  • 为了验证AutoML在预测余震地面运动特征方面的有效性,在最小的人类干预的情况下.

主要方法:

  • 使用了AutoML模型,整合了主冲击参数 (Sa,大小,距离) 和站点特征 (Vs30).
  • 采用基于波形的技术来生成合成余震加速图,参考主震地面运动.
  • 在一个全球数据库上训练了AutoML模型,其中包括2500次地震和余震记录.

主要成果:

  • 自动ML模型实现了对余震Sa的高预测准确性,R2得分在不同时期从0.85到0.9不等.
  • 预测的Sa强度与观察到的余震记录显示出强烈的皮尔森相关性,即使没有明确的余震破裂参数.
  • 使用该模型生成的合成主震-余震地面运动与单级自由度系统的峰值柔性要求有很好的一致性.

结论:

  • 开发的AutoML框架有效地预测了重大余震的响应频谱,增强了地震风险评估.
  • 自动ML的自动化性质允许潜在的扩展来预测余震的其他强度测量.
  • 这种方法提供了一种强大而有效的方法,用于生成现实的合成余震地面运动,这对于结构工程和防灾准备至关重要.