集成模型在 CCFST 柱子在轴向和偏心负载下容量预测中的应用
Jing Wang1, Ruichen Lu2, Ming Cheng3
1College of Civil Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, 451150, China.
Scientific reports
|June 10, 2023
概括
一个整体模型准确地预测了圆形混凝土填充钢管柱 (CCFST) 的承载能力,优于传统方法. 影响容量的关键因素包括柱子直径,管子厚度和材料强度.
科学领域:
- 结构工程 结构工程
- 材料科学 材料科学 材料科学
- 计算力学 计算力学 计算力学
背景情况:
- 准确预测圆形混凝土填充钢管柱 (CCFST) 的承载能力对于结构设计至关重要.
- 传统的实证公式和简单的回归模型在预测CCFST列性能方面存在局限性,原因是复杂的输入-输出关系.
研究的目的:
- 开发和验证一个先进的组合模型来预测CCFST列的承载能力.
- 将拟议模型的性能与已建立的方法比较,例如支向量回归和随机森林模型.
- 通过特征分析,识别和排列影响CCFST列负载能力的关键因素.
主要方法:
- 开发了一个集体机器学习模型,其中包含了各种输入特征 (几何,材料特性).
- 该模型在广泛的实验数据集 (1305个同心,499个偏心负载测试) 上进行了训练和验证.
- 沙普利添加解释 (SHAP) 被用于特征重要性分析.
主要成果:
- 与SVR和随机森林模型相比,拟议的组合模型显示出更高的预测准确性 (更高的R2,更低的MAE,RMSE,MAPE).
- 柱子直径被确定为影响压力强度的最重要因素.
- 管的厚度,钢的承压强度和混凝土的压力强度都会对负载能力产生积极的影响,而柱子的长度和离心率则会对负载能力产生负面影响.
结论:
- 开发的组合模型为预测CCFST列负载能力提供了更可靠和更准确的方法.
- 特性分析为CCFST列的机械行为提供了关键的见解,指导设计优化.
- 这些发现为工程师设计强大高效的CCFST结构提供了宝贵的指导.
相关概念视频
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