关于FRP增强混凝土梁的耐火分析数据集
P P Bhatt1, V K R Kodur2, M Z Naser3
1Walter P. Moore, Kansas City, MO, USA.
Data in brief
|January 30, 2024
概括
本研究介绍了纤维增强聚合物 (FRP) 强化钢筋混凝土 (RC) 梁的防火性能的大数据库. 这个资源使机器学习模型能够准确预测光束的耐火性.
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
- 计算工程 计算工程
背景情况:
- 机器学习 (ML) 为工程挑战提供了高效的解决方案.
- 有限的数据阻碍了ML在评估结构成员的耐火性方面的应用.
- 纤维增强聚合物 (FRP) 强化可以增强混凝土结构.
研究的目的:
- 为FRP增强钢筋混凝土 (RC) 梁的防火性能创建一个全面的数据库.
- 为了解决 ML 模型开发在这个领域的数据稀缺问题.
- 为了方便预测结构成员的耐火性.
主要方法:
- 汇编了超过21000个实验和数值数据点.
- 包括各种参数:几何形状,FRP水平,钢筋,绝缘,材料和负载.
- 为训练ML算法而构建的数据库.
主要成果:
- 现在可以获得超过21,000条条目的大量数据集.
- 该数据库涵盖了广泛的影响消防性能的因素.
- 汇总的数据适合开发预测性ML模型.
结论:
- 开发的数据库对于在结构性消防工程中推进ML应用至关重要.
- 它可以创建自主模型来预测耐火性.
- 促进FRP强化RC梁在火灾条件下的改进设计和安全评估.
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