建模纤维增强混凝土用于预测最佳机械性能
Hamad Hasan Zedan Khalel1, Muhammad Khan1
1School of Aerospace, Transport and Manufacturing, Cranfield University, Building 50, College Road, Cranfield MK43 0AL, UK.
Materials (Basel, Switzerland)
|May 27, 2023
概括
一个新的Khan Khalel模型根据纤维特性 (如形状和长度) 预测了混凝土的强度. 该模型有助于优化用于建筑应用的纤维增强.
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.
- 结构工程 结构工程
背景情况:
- 纤维增强的水泥复合材料为建筑提供了增强的机械性能.
- 选择最佳的纤维增强材料 (如钢,塑料) 是具有挑战性的,因为特定地点的财产要求.
- 现有的研究往往忽视了纤维形状,类型,长度和百分比的综合影响.
研究的目的:
- 为纤维钢筋混凝土性能提出一个预测模型.
- 根据建筑要求,分析最佳的纤维添加.
- 开发一个模型,将关键纤维参数作为预测混凝土强度的输入.
主要方法:
- 开发Khan Khalel模型来预测压力和屈曲强度.
- 使用统计工具进行模型开发和对数值结果进行验证.
- 在模型中输入关键纤维参数 (形状,类型,长度,百分比).
主要成果:
- 汗哈勒尔模型预测压力和屈曲强度的误差分别低于6%和15%.
- 该模型显示了SFRC (钢纤维增强混凝土) 的屈曲强度的最低和最显著的误差,MSE在0.121%到0.926%之间.
- 该模型的准确性受到有关纤维材料输入的假设的影响,特别是弹性模量,忽视了塑料的行为.
结论:
- 拟议的Khan Khalel模型提供了一个用户友好的方法来预测钢筋混凝土的强度.
- 该模型通过考虑多个纤维参数来优化纤维增强.
- 未来的工作应该纳入纤维的塑性行为,以提高模型的准确性.
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