PDF(Pubmed)
Abstract：
The quality of underwater bridge piers significantly impacts bridge safety and long-term usability. To address limitations in conventional inspection methods, this paper presents a sonar-based technique for the three-dimensional (3D) reconstruction and visualization of underwater bridge piers. Advanced MS1000 scanning sonar is employed to detect and image bridge piers. Automated image preprocessing, including filtering, denoising, binarization, filling, and morphological operations, introduces an enhanced wavelet denoising method to accurately extract the foundation contour coordinates of bridge piers from sonar images. Using these coordinates, along with undamaged pier dimensions and sonar distances, a model-driven approach for a 3D pier reconstruction algorithm is developed. This algorithm leverages multiple sonar data points to reconstruct damaged piers through multiplication. The Visualization Toolkit (VTK) and surface contour methodology are utilized for 3D visualization, enabling interactive manipulation for enhanced observation and analysis. Experimental results indicate a relative error of 13.56% for the hole volume and 10.65% for the spalling volume, demonstrating accurate replication of bridge pier defect volumes by the reconstructed models. Experimental validation confirms the method\'s accuracy and effectiveness in reconstructing underwater bridge piers in three dimensions, providing robust support for safety assessments and contributing significantly to bridge stability and long-term safety assurance.
摘要：
水下桥墩的质量严重影响桥梁的安全性和长期可用性。为了解决传统检查方法的局限性，本文提出了一种基于声纳的水下桥墩三维（3D）重建和可视化技术。采用先进的MS1000扫描声纳对桥墩进行检测和成像。自动图像预处理，包括过滤，去噪，二值化，填充，和形态学操作，引入了一种增强的小波去噪方法，从声纳图像中准确提取桥墩的基础轮廓坐标。利用这些坐标,连同未损坏的码头尺寸和声纳距离，开发了一种模型驱动的三维桥墩重建算法。该算法利用多个声纳数据点通过乘法重建受损桥墩。可视化工具包（VTK）和表面轮廓方法用于3D可视化，实现交互式操作，以增强观察和分析。实验结果表明，孔体积的相对误差为13.56％，剥落体积的相对误差为10.65％。通过重建模型证明了桥墩缺陷量的准确复制。实验验证证实了该方法在三维重建水下桥墩中的准确性和有效性。为安全评估提供强有力的支持，并为桥梁稳定性和长期安全保证做出重大贡献。
