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相关概念视频

Elastic Strain Energy for Shearing Stresses01:20

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As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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Strain energy quantifies the energy stored within a material due to deformation under loading conditions, a fundamental concept in materials science and engineering. The strain energy can be modeled when a material is subjected to axial loading with uniformly distributed stress. In this scenario, the stress experienced by the material is the internal force divided by the cross-sectional area, and the strain induced is directly proportional to this stress through the modulus of elasticity.
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基于智能优化的预堆倒置方法,用于高分辨率估计弹性参数.

Wei Zhang1,2, Keyu Zhao3, Weiyu Sun1

  • 1School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.

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概括

本研究引入了一种新的地震逆转方法,即基于mayfly算法 (MA) 的非线性AVA逆转 (MANAI),用于准确的地下建模. 在地震数据分析中,MANAI提高了计算效率和稳定性.

关键词:
在 AVA 逆转的过程中,准确的佐普普利茨方程是什么五月算法是如何运行的平行计算是一种平行计算.

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科学领域:

  • 地质物理学 地质物理学
  • 计算地震学计算地震学

背景情况:

  • 地震逆转对于各种应用中的地下建模至关重要.
  • 现有的方法在准确性和计算效率方面面临挑战.

研究的目的:

  • 开发一种新的,高效的,准确的预堆幅度变化与角度 (AVA) 逆转方法.
  • 改进地下模型建设,用于水库表征和地质分析.

主要方法:

  • 在贝叶斯框架内提出了一个基于Mayfly算法 (MA) 的非线性AVA反转 (MANAI).
  • 使用一个间接的全球优化策略与先前的模型提取梯度信息.
  • 从精确的Zoeppritz方程中推导出一个准确的雅科比矩阵.

主要成果:

  • 与基于鱼优化算法 (WOA) 的反转和传统的本地非线性方法相比,MANAI表现出卓越的稳定性和准确性.
  • 通过消除代反射系数计算,减少了计算成本.
  • 平行实施进一步加速了反转过程.

结论:

  • 在复杂的勘探场景中,MANAI为地震逆转提供了一种高效可靠的解决方案.
  • 该方法在合成和真实地震数据上提供了改进的倒置结果和减少的运行时间.