Multi-temporal InSAR Structural Damage Assessment: The London Crossrail case study

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

Research output: Contribution to journalArticle

32 Citations (Scopus)
75 Downloads (Pure)

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.

Original languageEnglish
Article number287
Pages (from-to)1-11
Number of pages11
JournalRemote Sensing
Volume10
Issue number2
DOIs
Publication statusPublished - 13 Feb 2018

Keywords

  • Multi-temporal InSAR
  • InSAR
  • Tunneling
  • Subsidence
  • Relative stiffness method
  • Structural engineering
  • Damage assessment
  • Soil-structure interaction

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computers in Earth Sciences

Fingerprint Dive into the research topics of 'Multi-temporal InSAR Structural Damage Assessment: The London Crossrail case study'. Together they form a unique fingerprint.

Cite this