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Hydrostatic Pressure Force on a Curved Surface01:04

Hydrostatic Pressure Force on a Curved Surface

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Hydrostatic pressure on curved surfaces is a fundamental concept in fluid mechanics with broad applications in the civil engineering field. When fluid is in contact with a curved surface, as in a reservoir, dam, or storage tank, it exerts pressure that varies in magnitude and direction along the curved surface. To assess the total hydrostatic force exerted by the fluid on a curved structure, engineers typically isolate the fluid volume adjacent to the surface and analyze the forces acting on...
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相关实验视频

Updated: Feb 18, 2026

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
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通过超材料外进行隐形水力动力传感,并通过机器学习进行优化.

Yajuan Li1, Yuhong Zhou1, Yixi Wang1

  • 1Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.

Advanced materials (Deerfield Beach, Fla.)
|February 17, 2026
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概括

这项研究引入了一种新的超材料外,用于无扭曲的液态动力学传感. 创新的设计保护了传感器核心,确保在微流体学及其他领域准确的流场测量.

关键词:
水力动力超材料是水力动力超材料机器学习是机器学习.结构设计 结构设计 结构设计

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科学领域:

  • 流体动力学 流体动力学
  • 材料科学是一种材料科学.
  • 超材料是指一种超材料.

背景情况:

  • 精确的流场传感对于微流体学,生物医学和环境监测至关重要.
  • 传统传感器由于透性不匹配而扭曲流量,导致数据错误.

研究的目的:

  • 开发一种没有扭曲的液态动力传感机制.
  • 在微流体应用中克服传统传感器的局限性.

主要方法:

  • 设计了一个超材料外,创建了一个受保护的传感核心.
  • 利用散射-取消理论用于异型透性.
  • 采用深度神经网络用于反向微结构设计.

主要成果:

  • 超级外将核心压力场恢复到背景水平,从而实现真正的不受干扰的压力读数.
  • 传感核心是"不可见的"给外部流.
  • 在微观结构设计中实现了<1%的预测误差,并将压力测量误差减少了4-5个数量级.

结论:

  • 基于甲的传感系统提供了近乎完美的准确度,即使具有显著的透性对比度.
  • 这种理论机器学习框架为没有扭曲的液态动力学传感提供了一个蓝图.
  • 这种方法可以扩展到热学,声学和电磁学.