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相关概念视频

Mixing Concrete01:30

Mixing Concrete

92
Concrete mixing ensures a homogenous blend where aggregates are well-coated with cement paste. Concrete mixing is typically done using two main types of mixers: batch and continuous. Batch mixers handle one batch at a time, thoroughly combining materials before discharging and receiving the next batch. In contrast, continuous mixers receive a steady flow of ingredients, mixing them consistently and discharging without interruption. Within batch mixers, tilting drum mixers mix with internal...
92
Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

144
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
144
Additives and Fillers in Concrete01:29

Additives and Fillers in Concrete

68
Additives and fillers are integral to enhancing the properties of concrete. Pozzolans and blast-furnace slag are additives or admixtures due to their reactions with calcium hydroxide released during cement hydration. Fillers, which are finely ground and similar in fineness to Portland cement, improve concrete attributes such as workability density, and reduce capillary bleeding or cracking. Some fillers possess hydraulic properties or participate in benign reactions within the cement paste.
The...
68
Mixing Time01:19

Mixing Time

122
The concept of mixing time is significant in producing a uniform concrete mix with the required strength. The mixing period starts once all components are in the mixer. Initially, the mixer is charged with 10% of the water, followed by the consistent addition of solids and then 80% of the water. The remaining water is added later, within the first quarter of the mixing period. The minimum mixing time varies according to the mixer's capacity; for example, mixers with up to 1 cubic yard...
122
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

65
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
65
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

84
Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
One such test is the revolving disc test, where three plates...
84

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相关实验视频

Updated: May 14, 2025

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

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使用深度学习和多目标优化优化可持续混合混凝土混合物.

Rupesh Kumar Tipu1, Preeti Rathi2, Kartik S Pandya3

  • 1Department of Civil Engineering, School of Engineering & Technology, K. R. Mangalam University, Sohna, Gurugram, 122103, Haryana, India. rupesh.kumar@krmangalam.edu.in.

Scientific reports
|May 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的框架,将深度神经网络和多目标优化结合起来,用于可持续的混凝土混合设计. 它实现了显著的成本和水泥降低,同时提高了压力强度,为绿色建筑提供了实际的解决方案.

关键词:
压力强度 压力强度 压力强度深度学习 (Deep Learning) 是一种深度学习.环境影响 环境影响绿色混凝土绿色混凝土多目标优化多目标优化

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科学领域:

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

背景情况:

  • 开发可持续混凝土对于减少建筑对环境的影响至关重要.
  • 优化混凝土混合设计涉及平衡竞争目标,如强度,成本和环境足迹.
  • 传统方法往往难以有效地探索混合设计中的复杂权衡.

研究的目的:

  • 开发一个集成的数据驱动框架,用于设计环保的混凝土混合物.
  • 利用深度神经网络 (DNN) 和多目标优化来优化混凝土的性能.
  • 为从业者提供决策支持工具,以寻求具有成本效益和可持续的具体解决方案.

主要方法:

  • 一个深度神经网络 (DNN) 模型被训练在一个全面的数据集的混凝土混合参数和固化条件.
  • 贝叶斯超参数调整用于优化DNN配置,实现高预测精度 (R2=0.936,RMSE=5.71 MPa).
  • 多目标粒子群集优化 (MOPSO) 算法被用来确定最佳的混合设计,平衡强度,成本和水泥减少.

主要成果:

  • 优化混凝土混合物实现了超过50 MPa的压力强度,降低了高达25%的水泥.
  • 与标准混凝土混合物相比,总成本降低了15%.
  • 特性重要性分析确定了水泥含量和混凝土年龄是影响压力强度的关键因素.

结论:

  • 拟议的框架有效地整合了DNN和MOPSO,用于设计高性能,可持续的混凝土.
  • 数据驱动的方法为绿色混凝土技术提供了有价值的见解,并促进了建筑中的实际应用.
  • 这种方法可以发现最佳的混合比例,以提高强度,降低成本并最大限度地减少对环境的影响.