在多相异质混凝土中使用证据回归深度网络和高频电磁波进行允许度测量
Zhaojun Hou1,2, Hui Liu3, Jianchuan Cheng1
1School of Transportation, Southeast University, Nanjing 210018, China.
Materials (Basel, Switzerland)
|August 28, 2025
概括
本研究引入了一个证据回归深度网络,使用高频电磁波 (HF-EMW) 精确测量混凝土的电容性. 该方法量化了不确定性,提高了非破坏性测试的准确性.
科学领域:
- 材料科学
- 电磁学
- 人工智能
背景情况:
- 使用高频电磁波 (HF-EMW) 测量混凝土的通透性对于非破坏性测试至关重要.
- 由于材料异质性和有限的波传播知识,现有的方法面临着随机和认识不确定性的挑战.
- 这些不确定性限制了当前非破坏性测试技术的精度.
研究的目的:
- 提出一个可证据的回归深度网络,用于精确测量混凝土的电容性.
- 将不确定性量化纳入测量过程.
- 提高混凝土材料的非破坏性测试的精度.
主要方法:
- 一个有限差异时间域 (FDTD) 模型模拟了异质混凝土中的高频电磁波传播,捕捉了随机的不确定性.
- 一个基于U-net的模型表示HF-EMW信号,差异量化测量噪声引起的不确定性.
- 一个基于Dempster-Shafer理论 (DST) 的证据回归网络计算了允许性,使用高斯随机模糊数 (GRFNs) 量化不确定性.
主要成果:
- 在四种混凝土类型的电容度测量中,该方法的平均平方误差为7.50%.
- 量化了74.70%的容量不确定性值.
- 该方法使用基于GRFN的信念测量间隔成功量化了测量不确定性.
结论:
- 证据回归深度网络有效地以量化不确定性测量混凝土的允许性.
- 这种方法显著提高了混凝土非破坏性测试的精度.
- 基于GRFN的不确定性量化提供了可靠的信念测量间隔.
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