Domain Knowledge Embedded InSAR-Based 3D Displacement Monitoring of Urban Buildings

IF 4.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Structural Control & Health Monitoring Pub Date : 2025-02-17 DOI:10.1155/stc/8864614

Ya-Nan Du, De-Cheng Feng, Gang Wu

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引用次数: 0

Abstract

Continuous monitoring of building displacement is crucial for urban structural safety. While traditional methods are costly, Interferometric Synthetic Aperture Radar (InSAR) offers a cost-effective alternative, providing long-term displacement data. However, due to the insensitivity of SAR radar to north-south displacement, using InSAR alone can only measure settlement and east-west displacement. To address this limitation, this paper presents a three-dimensional (3D) deformation extraction model. The model embeds domain knowledge to introduce additional constraints, which are then used to establish the relationship between north-south and east-west displacement. This relationship allows for the extraction of 3D displacement of buildings from the line of sight (LOS) displacement measured by InSAR. This model was applied to Tower 2 of Yingli International Financial Center (YIFC) in Chongqing, China, and the 3D displacement of the building between 2018 and 2021 was obtained.

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基于领域知识嵌入式insar的城市建筑三维位移监测

建筑物位移的连续监测对城市结构安全至关重要。虽然传统方法成本高昂，但干涉合成孔径雷达（InSAR）提供了一种经济有效的替代方法，可以提供长期的位移数据。然而，由于SAR雷达对南北位移的不敏感，单独使用InSAR只能测量沉降和东西位移。为了解决这一限制，本文提出了一个三维（3D）变形提取模型。该模型嵌入领域知识以引入额外的约束，然后使用这些约束来建立南北和东西位移之间的关系。这种关系允许从InSAR测量的视线（LOS）位移中提取建筑物的3D位移。将该模型应用于中国重庆英利国际金融中心（YIFC） 2号楼，得到该建筑在2018 - 2021年间的三维位移。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Structural Control & Health Monitoring 工程技术-工程：土木

CiteScore

9.50

自引率

13.00%

发文量

234

审稿时长

8 months

期刊介绍： The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.