Evaluation of InSAR monitoring data for post-tunnelling settlement damage assessment

Giorgia Giardina, Pietro Milillo, Matthew J. DeJong, Daniele Perissin, Giovanni Milillo

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68 Citations (SciVal)
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Abstract

The increasing demand for underground infrastructure should be supported by a rapid innovation in monitoring and damage assessment solutions to guarantee the safety of surface structures against ground settlements. This paper evaluates the use of Multi Temporal Synthetic Aperture Radar Interferometry (MT-InSAR) to calculate tunnelling-induced deformations of buildings. The paper introduces a step-by-step procedure to use InSAR displacements as an input to the structural damage assess- ment. After a comparison between traditional and InSAR monitoring data for the London area during the Crossrail excavation, the high resolution, high density InSAR based displacements were used to evaluate the building deformations for a number of case studies. Results demonstrate the quality of information provided by InSAR data on soil-structure interaction mechanisms. Such information, essential to evaluate current damage assessment procedures, is typically only collected for relatively few buildings due to the cost of traditional monitoring. A comparison between damage indicators derived from greenfield assumptions and building displacements quan- tifies the practical benefit of the proposed step-by-step procedure. This work aims at filling the gap between the most recent advances in remote sensing and the civil engineering practice, defining the first step of an automated damage assessment procedure which can impact large scale underground projects in urban areas.
Original languageEnglish
Article numbere2285
JournalStructural Control and Health Monitoring
Volume26
Issue number2
Early online date7 Dec 2018
DOIs
Publication statusPublished - 6 Jan 2019

Keywords

  • Damage assessment
  • InSAR
  • Structural monitoring
  • Soil-structure-interaction
  • Tunnelling

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computers in Earth Sciences

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