高级搜索

    视觉驱动的涉水混凝土结构水下多类别缺陷辨识和区域弱监督定位方法

    Vision-Driven Underwater Multi-Category Defect Identification and Regional Weak Supervision Positioning Method for Wading Concrete Structures

    • 摘要: 大坝、桥梁等涉水建筑物水下混凝土结构缺陷的隐蔽程度高,常规人工检测和工程物探手段难以准确识别.基于此,在深入分析水下混凝土结构病害成因及类型基础上,融合现场搜集、开源信息获取和物理模型试验等多种手段,构建了工程结构缺陷图像数据库SD-ImageNet.为降低深度学习缺陷辨识模型的建模成本和数据依赖,结合域间和域内迁移学习策略,研究并提出了一种两阶段融合迁移学习策略,实现了混凝土结构通用图像特征提取.结合深度残差网络ResNet50、弱监督动态可视化理论与两阶段混合迁移学习策略,提出一种视觉驱动的涉水混凝土结构水下缺陷辨识方法,实现了多类别缺陷辨识和损伤区域弱监督定位.以某碾压混凝土重力坝为工程实例,从定性和定量两个维度评估了提出方法的适应性和有效性.

       

      Abstract: Affected by obstacles such as reservoir water coverage and plankton,the underwater concrete structural defects of water-related buildings are highly concealed,making it difficult to accurately identify them with conventional manual inspection and engineering geophysical prospecting methods.As a carrier of high-dimensional data information,video images contain a large amount of important information closely related to the evolution of structural behavior such as the health status of the structure,mechanical evolution rules,and response to load and environmental effects.Based on an in-depth analysis of the causes and types of underwater concrete structural diseases,this paper proposes and constructs an engineering structural defect image database SD-ImageNet by integrating on-site collection,open source information acquisition,physical model testing,and other means.Combining inter-domain and intra-domain transfer learning strategies,a two-stage fusion transfer learning strategy was studied and proposed to achieve universal image feature extraction of concrete structures.On this basis,combined with the deep residual network ResNet50,weakly supervised dynamic visualization theory,and two-stage hybrid transfer learning strategy,a vision-driven underwater defect identification method for wading concrete structures is proposed to achieve multi-category defect identification and weak supervision of damaged areas position.Taking a roller-compacted concrete gravity dam as an engineering example,the adaptability and effectiveness of the proposed method are evaluated from both qualitative and quantitative dimensions.

       

    /

    返回文章
    返回