智能监测复合混凝土损坏使用EMI技术与温度效应补偿和ANN集成的EMI技术
Maheshwari Sonker1, Rama Shanker2
1Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India. maheshwari.2020rce07@mnnit.ac.in.
Scientific reports
|November 3, 2025
概括
电机阻抗 (EMI) 技术有效地使用压电传感器检测复合纤维混凝土损坏. 将其与人工神经网络 (ANN) 集成,可以加强结构健康监测和耐久性评估.
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.
- 结构健康监测 结构健康监测
背景情况:
- 复合材料容易受到破裂和分层等损坏.
- 电机阻抗 (EMI) 技术使用压电传感器提供非破坏性损坏检测.
- 结构健康监测 (SHM) 对安全性和耐用性至关重要.
研究的目的:
- 调查EMI技术的应用,用于监测复合纤维混凝土样本中的损伤.
- 用统计指数评估损害严重程度,并评估结构参数.
- 开发和实施人工神经网络 (ANN) 模型来预测损害.
主要方法:
- 使用OPC,飞灰和纤维混合物制备复合纤维混凝土样本.
- 压电传感器记录电导和悬浮信号以检测损坏.
- 分析使用了统计指数 (RMSD,MAPD,CC),结构参数 (刚度,减压) 和ANN模型.
主要成果:
- 国际货币基金组织的签名显示左转,损害越来越大,表明逐渐恶化.
- 损伤的严重程度与降低的刚性和增加的缓冲相关.
- 该ANN模型准确地预测了导电价值和损伤深度,显示了与实验结果的高度一致.
结论:
- EMI技术是复合纤维混凝土的SHM的一个有前途的工具.
- 与机器学习的整合,特别是ANN,改善了预测性耐用性评估.
- 温度补偿对于基于EMI的可靠分析是必要的.
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