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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges
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A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges

机译:桥梁定制的多时相DInSAR方法,用于远程探索复杂结构桥梁的变形特征和机理

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摘要

With the increasing operation time and environmental loads, a growing number of bridges are in poor conditions and suffer from continuous structural deformation. In order to understand how those deformations occurred and developed, the knowledge of bridge deformation characteristics and mechanisms is essential for users to manage and maintain bridges sustainably. The Differential Synthetic Aperture Radar Interferometry (DInSAR) technique is an effective tool to observe the bridge deformation and has achieved a few impressive results. Nevertheless, the previous studies often focused on bridges with simple structure and high coherence, avoiding the difficulties in identifying dense and accurate point-like targets (PTs) upon complexly structured bridges with more severe de-correlation effects. Moreover, the traditional two-dimensional (2D) deformation maps of complexly structured bridges are difficult for non-expert users to understand in multi-dimensional views, increasing the difficulty of deformation interpretation. Finally, simply analyzing all the PTs' deformation velocities equivalently without considering the structural information is insufficient to explore the deformation characteristics and mechanisms of complexly structured bridges. Starting from these limitations, we proposed a bridge-tailored multi-temporal DInSAR approach, and for the first time, explored the deformation characteristics and mechanisms of the complexly structured arch bridge and cable-stayed bridge. The density and accuracy of detectable PTs on bridges are improved by implementing a structure coherence-driven PTs selection strategy. A simple and fast algorithm for 3D visualization of bridge results is accomplished through integrating orthorectified PTs' measurements from multi-track SAR datasets. Based on the 3D products, the deformation characteristics of different types of bridges are investigated by identifying the damage sensitive points (DSPs) and revealing the global deformations, and the deformation mechanisms of different bridge components are explored by analyzing the different types of PTs classified based on the spatial-temporal semantics. It is derived that the deformation characteristics of bridges are associated with their structural and material characteristics, and the deformation mechanisms of their DSPs are similar. The subsidence of land surface and foundations control the deformation of the pier-DSPs which mainly reflect the trend deformation of bridges, whereas the temperature variation drives the deformation temporal evolution of the span-DSPs which represent the elastic deformation of bridges.
机译:随着操作时间和环境负荷的增加,越来越多的桥梁处于恶劣的条件下并遭受连续的结构变形。为了了解这些变形是如何发生和发展的,了解桥梁的变形特性和机制对于用户可持续地管理和维护桥梁至关重要。微分合成孔径雷达干涉法(DInSAR)技术是观察桥梁变形的有效工具,并取得了一些令人印象深刻的结果。尽管如此,以前的研究通常集中在结构简单,相干性高的桥梁上,避免了在结构复杂,具有更严重的去相关效应的桥梁上识别密集且准确的点状目标(PT)时遇到的困难。此外,结构复杂的桥梁的传统二维(2D)变形图很难为非专业用户提供多维视图,从而增加了变形解释的难度。最后,仅考虑所有PT的变形速度而不考虑结构信息就不足以探索复杂结构桥梁的变形特性和机理。从这些限制出发,我们提出了一种针对桥梁的多时相DInSAR方法,并首次探讨了结构复杂的拱桥和斜拉桥的变形特征和机理。通过实施结构相干性驱动的PT选择策略,可以提高桥梁上可检测PT的密度和准确性。通过集成来自多轨SAR数据集的正交校正PT的测量,可以实现一种简单,快速的桥梁结果3D可视化算法。基于3D产品,通过识别损伤敏感点(DSP)并揭示整体变形来研究不同类型桥梁的变形特性,并通过分析基于分类的不同类型PT来探索不同桥梁构件的变形机理。在时空语义上。推导得出,桥梁的变形特性与其结构和材料特性有关,其DSP的变形机理也相似。地表和地基的沉降控制着桥墩DSP的变形,主要反映了桥梁的趋势变形,而温度变化则驱动了跨桥DSP的变形随时间的变化,代表了桥梁的弹性变形。

著录项

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  • 作者单位

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Hubei Peoples R China|Shenzhen Univ Guangdong Key Lab Urban Informat Sch Architecture & Urban Planning Shenzhen 518060 Peoples R China|Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Kowloon Hong Kong 999077 Peoples R China;

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Kowloon Hong Kong 999077 Peoples R China;

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Hubei Peoples R China|Minist Land & Resources Key Lab Land Subsidence Monitoring & Prevent Shanghai 200072 Peoples R China;

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Hubei Peoples R China;

    Shenzhen Univ Guangdong Key Lab Urban Informat Sch Architecture & Urban Planning Shenzhen 518060 Peoples R China|Minist Land & Resources Key Lab Urban Land Resources Monitoring & Simulat Shenzhen 518060 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bridge; Deformation characteristics; Mechanisms; 3D visualization; Time-series DInSAR;

    机译:桥;变形特性;机制;3D可视化;时间序列DInSAR;

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