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相关概念视频

Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

919
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by a...
919
Strength of Cement01:20

Strength of Cement

430
Strength tests for cement are not performed directly on neat cement paste due to difficulty in obtaining consistent, reliable specimens. Instead, cement is typically tested in the form of cement-sand mortar.
For compressive strength tests, ASTM C 109-05 standards prescribe a cement-sand mix ratio of 1:2.75 and a water/cement ratio of 0.485 for making 2-inch cubes. These cubes are mixed, cast, and cured in saturated lime water at 23°C until testing. Flexural strength testing, outlined in...
430
Fatigue Strength of Concrete01:22

Fatigue Strength of Concrete

519
Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
519
Behavior of Concrete Under Compressive Load01:23

Behavior of Concrete Under Compressive Load

562
Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
As the concrete specimen fractures under...
562
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

465
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
465
Superplasticizers01:30

Superplasticizers

281
Superplasticizers are advanced admixtures that enhance the workability of concrete by lowering the water content without compromising the strength of the material. These substances are highly effective water reducers, improving concrete flow, making it easier to work with, and enabling concrete to reach inaccessible areas or densely reinforced sections without mechanical vibration. The key components in superplasticizers are either sulfonated melamine or naphthalene formaldehyde condensates,...
281

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相关实验视频

Updated: Jan 10, 2026

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

Published on: January 5, 2024

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基于动态加权转移学习的石混凝土的强度预测方法

Pan Chen1,2, Feng Zhu1, Dongxu Zhang1

  • 1School of Civil Engineering, Hubei Engineering University, Xiaogan 432000, China.

Materials (Basel, Switzerland)
|November 27, 2025
PubMed
概括

本研究引入了一种新的转移学习方法,使用有限的数据准确预测石混凝土 (PGC) 的压力强度. 该方法提高了PGC强度预测的准确性,克服了小样本挑战.

关键词:
数据增强数据增强石膏混凝土是一种质混凝土.这是一个小样本.强度预测 预测 强度预测转移学习转移学习

相关实验视频

Last Updated: Jan 10, 2026

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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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.
  • 可持续建筑 可持续建筑

背景情况:

  • 合石混凝土 (PGC) 为工业固体废物提供了高价值的利用.
  • 有限的实验样本阻碍了对PGC的精确压力强度预测.
  • 由于数据稀缺,传统模型在PGC表征方面遇到了困难.

研究的目的:

  • 为准确的PGC压力强度预测开发一种动态加权转移学习方法.
  • 为了应对PGC中小样本表征的挑战.
  • 为了使知识从传统混凝土转移到PGC.

主要方法:

  • 组件比例规范化和特征对齐,以解决传统混凝土和PGC之间的差异.
  • 引导重抽样用于数据增强以扩展训练样本.
  • 基于错误反的动态权重计算和转移学习的权重损失优化.

主要成果:

  • 转移学习模型在PGC测试样本上实现了R2 = 0.95,比传统方法提高了15.9%.
  • 在外部验证样本上保持了强大的性能 (R2 = 0.97).
  • 沙普利添加物解释 (SHAP) 分析揭示了PGC参数对强度的非线性合效应.

结论:

  • 拟议的方法在小样本条件下准确预测PGC强度.
  • 转移学习有效地克服了PGC研究中的数据稀缺性限制.
  • 这项研究为PGC强度预测和应用提供了科学基础.