使用响应表面方法技术预测自压缩混凝土混合物的气态特性,用于可持续的结构混凝土
Edwin Zumba1,2, Nancy Velasco3, Edison Marcelo Melendres Medina4
1Universidad Nacional de Chimborazo (UNACH), Riobamba, Ecuador.
PloS one
|July 1, 2024
概括
本研究使用响应表面方法 (RSM) 预测了自压缩混凝土 (SCC) 的质性质. 回归模型准确地预测塑料粘度和屈服应力,有助于可持续的混凝土设计.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 类风病学 类风病学 类风病学
背景情况:
- 自压缩混凝土 (SCC) 整形学,特别是屈服应力和塑料粘度,对于流量和填充能力至关重要.
- 聚合物比例和尺寸显著影响SCC的质性质和可加工性.
- 优化SCC风学对于可持续的建筑实践至关重要.
研究的目的:
- 开发回归模型,用于预测自压缩混凝土 (SCC) 混合物的修态性质.
- 调查粗聚合物的名义尺寸对SCC塑料粘度和产量应力的影响.
- 建立一个参数关系,以设计和生产高性能准确度的SCC.
主要方法:
- 利用响应表面方法 (RSM),一种象征回归分析技术.
- 收集并分析了八十四个 (84) 混凝土混合物,分为培训和验证集.
- 开发了封闭形式的参数关系和对质性质的图形预测.
主要成果:
- RSM成功地模拟了塑料粘度和屈服应力,准确度分别超过95%和90%.
- 在SCC组件和rheological输出之间建立了一个封闭形式的参数关系.
- 图形预测有助于监测具体的绩效和评估加班时间.
结论:
- 开发的RSM模型为SCC的质性质提供了准确的预测.
- 已建立的关系适用于用于现场应用的SCC的设计和生产.
- 建议对研究实验项以外的参数关系进行进一步验证.
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