Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

157
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
157
Aggregates Classification01:29

Aggregates Classification

289
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
289
Types of Aggregate Grading01:15

Types of Aggregate Grading

311
Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
Well-graded aggregates include a complete range of necessary size fractions that fit together to create a dense matrix with minimal voids, represented by a smooth, continuous gradation curve. This type of grading ensures good...
311
Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

81
The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
81
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

227
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
227
Quarrying of Stone01:15

Quarrying of Stone

75
Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the...
75

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Effect of the Composition of Polymer-Composite Lightweight Concrete for Floating Platforms on Their Thermal and Strength Properties.

Polymers·2026
Same author

Structure and Properties of Foam Concrete and Fiber-Reinforced Foam Concrete Produced Using a Complex Nanomodifier Based on Industrial Waste.

Materials (Basel, Switzerland)·2026
Same author

The Influence of Polymer Fibers on the Properties of Foam Concrete with a Complex Nanomodifying Additive: Finite Element Analysis and Experimental Study.

Polymers·2026
Same author

Study of TiO<sub>2</sub> and Al<sub>2</sub>O<sub>3</sub> Nanoparticles' Influence on the Variatropic Concrete Properties.

Materials (Basel, Switzerland)·2026
Same author

Mechanical Properties and Microstructure of Environmentally Friendly Foam Concrete with Fly Ash Modified with Micro- and Nano-SiO<sub>2</sub>.

Materials (Basel, Switzerland)·2026
Same author

The Influence of Fiber-Form Waste Tire Aggregates on the Flexural Strength, Ductility, and Energy Dissipation of Pultruded GFRP-Rubberized Concrete Hybrid Beams.

Polymers·2025

相关实验视频

Updated: May 10, 2025

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.2K

开发计算机视觉模型,用于对碎石的粒度形状进行分类.

Alexey N Beskopylny1, Evgenii M Shcherban'2, Sergey A Stel'makh3

  • 1Department of Transport Systems, Faculty of Roads and Transport Systems, Don State Technical University, 344003 Rostov-on-Don, Russia.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
概括

这项研究引入了一种新的神经网络方法,用于分析碎石颗粒形状,改善建筑材料质量评估. 这种机器学习方法通过准确地描述总体形态来增强建筑过程.

关键词:
计算机视觉 计算机视觉粉碎的石头粉碎的石头碎片性指数 (Flakeiness Index) 是一个指数.有针状的颗粒,类似针状的颗粒.神经网络的神经网络的神经网络板状的颗粒,像一个盘子.处理点云的点云处理.

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

884
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

477

相关实验视频

Last Updated: May 10, 2025

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

884
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

477

科学领域:

  • 土木工程 土木工程是指土木工程.
  • 计算机科学 计算机科学
  • 材料科学 材料科学 材料科学

背景情况:

  • 评估建筑材料的传统方法,如粉碎的石头,往往是劳动密集型的,可能缺乏精度.
  • 智能算法,特别是机器学习和神经网络,为增强建筑过程提供了先进的功能.
  • 描述碎石颗粒形态,特别是状,对于确定其在建筑应用中的适用性至关重要.

研究的目的:

  • 开发和评估一种使用3D计算机视觉神经网络来描述压碎石粒形态的新方法.
  • 根据它们的3D点云数据,将碎石粒分为形状类别 (针形,板形,立方形).
  • 评估机器学习模型在提高建筑材料质量控制的准确性和效率方面的有效性.

主要方法:

  • 利用专门设计的3D计算机视觉神经网络,包括基于PointNet和PointCloudTransformer的架构.
  • 处理碎石粒的3D图像,以点数据云表示.
  • 训练有素的分类算法将谷物形状分类为针状,板状和立方类.

主要成果:

  • 在训练PointNet和PointCloudTransformer模型时,获得了0.86的准确性质量指标.
  • 证明了神经网络能够准确地分类压碎石粒形态的能力.
  • 开发的方法显示了在建筑材料分析中减少手工劳动的潜力.

结论:

  • 新的3D计算机视觉神经网络有效地描述了碎石粒形态.
  • 基于机器学习的方法为提高建筑材料质量控制提供了一个有希望的途径.
  • 这项技术可以补充传统方法,减少人工劳动,并在整个施工阶段验证材料质量.