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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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优化回收自压缩混凝土:实验发现和基于机器学习的评估

Md Habibur Rahman Sobuz1, Limon Paul Joy1, Abu Sayed Mohammad Akid1

  • 1Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.

Heliyon
|March 25, 2024
PubMed
概括

本研究探讨在自压缩混凝土 (SCC) 中使用废轮胎聚合物 (WRTA). 5%的替换优化了性能和减少了浪费,而XGBoost机器学习准确地预测了性能.

关键词:
机器学习是机器学习.机械性质 机械性质风病学性质 风病学性质化混凝土的化混凝土是什么自行压缩的化混凝土废旧轮胎的使用情况

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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.
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Design Example: Managing Concrete Workability

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.
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Fatigue Strength of Concrete

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