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基于BP神经网络的钢渣水泥稳定麦卡丹扩张率研究
Hengyu Wu1, Feng Xu1, Bingyang Li1
1School of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Materials (Basel, Switzerland)
|July 27, 2024
概括
由于自由的氧化物和氧化物与水混合时,钢渣会膨胀. 增加的水泥含量减少了这种扩张的钢渣水泥稳定砂.
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.
- 地质技术工程 地质技术工程
背景情况:
- 钢含有自由的和氧化物,与水发生反应,导致体积显著膨胀.
- 这种扩张可能会对使用钢的建筑材料的性能产生负面影响.
研究的目的:
- 研究钢的物理化学特性及其膨胀行为.
- 探索钢扩张和水泥稳定砂体积变化之间的关系.
- 开发一个预测模型的扩张速度的钢渣水泥稳定石.
主要方法:
- 扫描电子显微镜 (SEM) 和红外 (IR) 光谱学被用来分析钢的特性.
- 进行了实验,测量了在水中浸泡七天后的钢扩张.
- 评估了不同剂量的水泥 (5%和6%) 对钢渣水泥稳定砂的影响.
- 开发了一个反向传播 (BP) 神经网络模型来预测扩张率.
主要成果:
- 钢渣中的自由和氧化物与水反应形成氧化物,导致体积膨胀.
- 在沉浸水中大约七天后,钢会表现出更明显的体积膨胀.
- 增加水泥剂量有效地减轻了钢渣水泥稳定砂的体积膨胀.
- 英国石油公司的神经网络模型准确地预测了钢渣水泥稳定聚合物的扩张率.
结论:
- 由于水化,钢渣的固有膨胀需要在建筑应用中仔细考虑.
- 优化水泥含量对于控制稳定材料中钢引起的体积不稳定性至关重要.
- 开发的BP神经网络模型为混合设计和钢渣水泥稳定砂性能预测提供了可靠的工具.
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