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相关概念视频

Typical Model Studies01:30

Typical Model Studies

607
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
607
Modeling and Similitude01:12

Modeling and Similitude

588
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
588
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

999
Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...
999
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

420
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
420
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

522
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
522
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

647
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
647

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相关实验视频

Updated: Jan 11, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

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TripoSG:使用大规模正流模型进行高保真度3D形状合成.

Yangguang Li, Zi-Xin Zou, Zexiang Liu

    IEEE transactions on pattern analysis and machine intelligence
    |November 17, 2025
    PubMed
    概括
    此摘要是机器生成的。

    TripoSG引入了一种简化扩散模型,用于从图像中生成高保真3D网格. 这种新范式克服了3D数据处理的局限性,并在3D形状生成方面取得了最先进的结果.

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    Three-Dimensional Shape Modeling and Analysis of Brain Structures
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    相关实验视频

    Last Updated: Jan 11, 2026

    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    17.1K
    Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
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    Three-Dimensional Shape Modeling and Analysis of Brain Structures
    05:33

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    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 3D 图形 3D 图形

    背景情况:

    • 扩散模型具有先进的二维图像和视频生成.
    • 由于数据规模和处理挑战,3D形状生成滞后.
    • 现有的3D方法在质量,概括和输入对齐方面扎.

    研究的目的:

    • 介绍TripoSG,这是一个新的扩散范式,用于高保真度3D网格生成.
    • 提高3D形状生成质量,概括和输入对应.
    • 当前3D生成模型中的地址限制.

    主要方法:

    • 开发了一种用于3D形状生成的大型整流变压器.
    • 实施了混合监督训练策略,使用SDF,正常和eikonal损失用于3D VAE.
    • 创建了一个数据处理管道,生成200万个高质量的3D样本.

    主要成果:

    • 在3D形状生成中实现了最先进的真实性.
    • 生成高分辨率3D网格,与输入图像准确对应.
    • 在各种图像输入中展示了改进的多功能性和概括性.

    结论:

    • TripoSG的组件有效地提高了3D生成模型的性能.
    • 该框架在生成详细和准确的3D形状方面取得了重大进展.
    • 这项工作为未来的3D生成创新提供了基础.