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基于基因表达编程FRP-混凝土接口的疲劳寿命预测模型

Zhimei Zhang¹, Yinglong Huo¹

¹Department of Civil Engineering, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China.

Materials (Basel, Switzerland)

|April 9, 2024

概括

基因表达编程 (GEP) 改善了纤维增强聚合物 (FRP) -混凝土增强的界面疲劳寿命预测. 新的GEP模型比现有的外部结合 (EB) 和近表面安装 (NSM) 加强方法提供了更高的准确性.

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
结构工程结构工程

背景情况:

精确预测纤维增强聚合物 (FRP) -混凝土复合材料的界面疲劳寿命对于评估增强混凝土结构的性能至关重要.
现有的FRP混凝土接口疲劳寿命预测模型经常存在不一致性和有限的准确性.
了解外部粘合 (EB) 和近表面安装 (NSM) 钢筋的疲劳行为对于结构改造至关重要.

研究的目的:

开发一个更准确,更可靠的模型来预测FRP混凝土复合材料的界面疲劳寿命.
通过使用先进的计算技术来解决现有的疲劳寿命预测模型的局限性.
为EB和NSM强化方法建立不同的疲劳寿命计算公式.

主要方法:

收集和分析了EB和NSM两种强化配置的219组接口疲劳测试数据.
利用皮尔森相关性分析来确定影响界面疲劳寿命的关键因素.
采用基因表达编程 (GEP) 来开发和优化疲劳寿命预测模型,探索各种输入参数形式.
进行了参数灵敏度和变量重要性分析,以验证GEP模型的稳定性.

主要成果:

专门为EB和NSMFRP-混凝土接口开发了新的疲劳寿命计算公式.
与现有模型相比,GEP模型显示出更高的预测准确度,达到0.819.2的确定系数 (R2).
GEP模型的平均绝对误差和其他统计指标较低,这意味着预测性能提高.
该模型有效地捕捉了疲劳寿命和影响因素之间的内在关系.

结论:

开发的GEP模型在预测FRP混凝土的界面疲劳寿命方面取得了重大进展.
该模型的高精度和强度使其成为设计和评估FRP增强混凝土结构的宝贵工具.
该研究强调了GEP在解决复杂材料行为和改善结构改造工程预测方面的潜力.

关键词:

FRP混凝土接口接口疲劳生活疲劳生活基因表达编程基因表达编程预测模型预测模型

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