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相关概念视频

Portland Cement01:21

Portland Cement

221
Portland cement is the essential binding ingredient in concrete, made from finely ground materials including lime, iron, silica, and alumina. Lime is derived primarily from limestone, marble, marl, seashells, and clays, which also supply iron and alumina, while silica is sourced from sand, chalk, and bauxite. Contemporary manufacturing of Portland cement is a significant source of carbon dioxide emissions, prompting research into reducing its content in concrete through alternative...
221
Hydration of Cement01:24

Hydration of Cement

237
Hydration of cement is a chemical reaction between cement particles and water. This process occurs primarily through two mechanisms: through-solution and topochemical. In the through-solution process, anhydrous compounds dissolve into their constituents, hydrates form in the solution, and then precipitate from the supersaturated solution. The topochemical process involves solid-state reactions at the cement particle surface. The through-solution process dominates the topochemical process at the...
237
Fineness of Cement01:15

Fineness of Cement

131
The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
131
Porosity in Cement Paste01:18

Porosity in Cement Paste

140
The porosity of concrete is a measure of the void spaces within its structure. These spaces impact its strength and durability significantly. When water and cement interact, a chemical reaction called hydration creates a semi-solid paste. This paste includes combined water, making up approximately 23% of the cement's dry mass, and gel water, which fills minuscule voids known as gel pores, accounting for about 28% of the cement gel volume.
The balance of water to cement in the mix is...
140
Types of Cement II01:22

Types of Cement II

109
Portland blast-furnace cement is made by blending Portland cement clinker with granulated blast-furnace slag, which accounts for 25 to 65 percent of the cement's weight. Despite its similarities to ordinary Portland (Type I) cement in terms of fineness and setting times, its early strength is lower, though it achieves comparable strength later on. It's particularly suited for mass concrete structures and marine environments due to its lower heat of hydration and superior sulfate...
109
Additives and Fillers in Concrete01:29

Additives and Fillers in Concrete

96
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...
96

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相关实验视频

Updated: Jul 4, 2025

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
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应用机器学习随机森林 (RF) 方法预测水泥产品与输入材料的共同处理:优化超参数.

Jin Hwi Kim1, Dong Hoon Lee2, Joseph Albert Mendoza3

  • 1Department of Civil and Environmental Engineering, Konkuk University, Seoul, 05029, Republic of Korea.

Environmental research
|January 28, 2024
PubMed
概括

在水泥生产中管理重金属至关重要. 这项研究使用机器学习来预测水泥.

关键词:
在水泥水泥中.重金属是一种重金属.输入材料是输入的材料.机器学习 机器学习随机的森林随机的森林

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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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相关实验视频

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科学领域:

  • 环境科学 环境科学
  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 在水泥生产中共同处理回收废物使用替代原料和燃料.
  • 这些替代投入物可能含有危险的重金属,对人类健康和环境构成风险.
  • 有效管理和预测输入材料的影响对于预防危险至关重要.

研究的目的:

  • 调查投入材料中的重金属度对最终水泥产品的影响.
  • 根据输入材料的组成,开发一种用于水泥中的重金属度的预测模型.
  • 通过仔细选择替代原材料和燃料,评估控制水泥中重金属含量的可行性.

主要方法:

  • 从水泥制造商的输入原材料和燃料中分析六种重金属 (2016-2017).
  • 主要组件分析 (PCA) 用于确定重金属存在的主要原因.
  • 随机森林 (RF) 集合模型应用程序用于预测水泥重金属度.

主要成果:

  • 水泥中的 (Pb) 和铜 (Cu) 度明显高于其他重金属 (Cr,As,Cd,Hg).
  • 射频模型显示了Cu (R2=0.71),Cd (R2=0.71) 和Cr (R2=0.92) 的强有力的预测性能.
  • PCA有效地分析了每个投入材料的重金属度的影响.

结论:

  • 随机森林模型根据输入材料的组成准确地预测水泥重金属度.
  • 这种预测能力可以更好地管理替代原材料和燃料.
  • 该研究强调了通过管理投入材料质量来控制水泥中的重金属含量.