基于U-Net模型的建筑结构裂缝分割数字化处理方法研究
Research on Digital Processing Method of Building Structure Crack Segmentation Based on U-Net Model
衣伟平1
作者信息
- 1. 中铁建设集团有限公司华东分公司,江苏 苏州 215300
- 折叠
摘要
混凝土结构裂缝是一种常见的病害问题,由于引起结构开裂的因素较多,且建筑结构物开裂形态各异.因此,针对上述问题,文章提出一种基于U-Net模型的建筑结构裂缝识别方法,实现裂缝识别的数字化与智能化.以U-Net网络为基础,建立了离散性相对较强的训练集与验证集.在下采样和上采样过程中,进行最大池化与反卷积操作,进行架构调整,并通过Dice系数对模型进行评价.结果表明,利用该方法能够高效且较为准确地进行建筑结构裂缝数字化识别,提高结构病害检测效率.
Abstract
Concrete structure crack is a common disease problem.There are many factors causing structural cracking,and the cracking forms of building structures are different.In view of the above problems,this paper proposes a crack identification method of building structures based on U-Net model to realize the digitization and intelligence of crack identification.Based on the U-Net network,a training set and a verification set with relatively strong discreteness were established.In the process of down-sampling and up-sampling,the maximum pooling and deconvolution operations are performed,the architecture is adjusted,and the model is evaluated by Dice coefficient.The results show that this method can be used to identify the cracks of building structures efficiently and accurately,and improve the detection efficiency of structural diseases.
关键词
建筑结构裂缝/U-Net模型/数字化处理Key words
building structural cracks/U-Net model/digital processing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据