Abstract

Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a monitoring technique capable of extracting line of sight (LOS) cumulative surface displacement measurements with millimeter accuracy. Several improvements in the techniques and datasets quality led to more effective, near real time assessment and response, and a greater ability of constraining dynamically changing physical processes. Using examples of the COSMO-SkyMed (CSK) system, we present a methodology that bridges the gaps between MT-InSAR and the relative stiffness method for tunnel-induced subsidence damage assessment. The results allow quantification of the effect of the building on the settlement profile. As expected the greenfield deformation assessment tends to provide a conservative estimate in the majority of cases (~71% of the analyzed buildings), overestimating tensile strains up to 50%. With this work we show how these two techniques in the field of remote sensing and structural engineering can be synergistically used to complement and replace the traditional ground based analysis by providing an extended coverage and a temporally dense set of data.

Highlights

  • MT-InSAR is a well-established monitoring technique capable of extracting time-series of line of sight (LOS) surface displacements

  • Many studies have been carried out using InSAR in the field of structural monitoring looking at urban areas [5,6,7], bridges [8,9], railways [10,11], tunneling [12,13,14,15], and dams [16,17,18,19], state of the art scientific literature sees only few papers coupling MT-InSAR and structural modeling as a building damage assessment tool [6,20,21,22]

  • In this paper we propose a new integrated damage assessment methodology that aims to bridge the gaps between InSAR time-series analysis and the relative stiffness method for the assessment of tunneling-induced structural damage [32]

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Summary

Introduction

MT-InSAR is a well-established monitoring technique capable of extracting time-series of LOS surface displacements. Attempts have been made to include this effect in simplified procedures for the damage assessment of large scale urban projects, by connecting the building-induced variation of the settlement profile with the relative stiffness between the structure and the soil [29,30,31,32]. We compare our InSAR dataset to a dense set of ground based measurements acquired over 14 buildings, showing how the MT-InSAR time-series product can overcome the lack of ground based monitoring of building displacements and facilitate the application of damage assessment procedures which take the soil-structure interaction mechanism into account [34].

Dataset and Area of Interest
Methodology
Results and Discussion
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