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Title: Structural health monitoring of engineered structures using a space-borne synthetic aperture radar multi-temporal approach: from cultural heritage sites to war zones

Conference ·
DOI:https://doi.org/10.1117/12.2241620· OSTI ID:1480705
 [1];  [2];  [3];  [4];  [5];  [6];  [6];  [7];  [8];  [5];  [5];  [9];  [10];  [11];  [12]
  1. EURAC research (Italy)
  2. Istituto di Fisica Applicata Nello Carrara (Italy)
  3. Univ. degli Studi di Roma La Sapienza (Italy)
  4. The Univ of Edinburgh (United Kingdom)
  5. Jet Propulsion Lab. (United States)
  6. British Geological Survey (United Kingdom)
  7. Purdue Univ. (United States)
  8. Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ (Germany)
  9. Univ. of California, Berkeley (United States)
  10. Ministero Della Difesa (Italy)
  11. Agenzia Spaziale Italiana (Italy)
  12. Univ. degli Studi della Basilicata (Italy)
+ Show Author Affiliations

Typically, structural health monitoring (SHM) of engineered structures consists of an automated or semi-automated survey system that seeks to assess the structural condition of an anthropogenic structure. The aim of an SHM system is to provide insights into possible induced damage or any inherent signals of deformation affecting the structure in terms of detection, localization, assessment, and prediction. During the last decade there has been a growing interest in using several remote sensing techniques, such as synthetic aperture radar (SAR), for SHM. Constellations of SAR satellites with short repeat time acquisitions permit detailed surveys temporal resolution and millimetric sensitivity to deformation that are at the scales relevant to monitoring large structures. The all-weather multi-temporal characteristics of SAR make its products suitable for SHM systems, especially in areas where in situ measurements are not feasible or not cost effective. To illustrate this capability, we present results from COSMO-SkyMed (CSK) and TerraSAR-X SAR observations applied to the remote sensing of engineered structures. We show how by using multiple-geometry SAR-based products which exploit both phase and amplitude of the SAR signal we can address the main objectives of an SHM system including detection and localization. We highlight that, when external data such as rain or temperature records are available or simple elastic models can be assumed, the SAR-based SHM capability can also provide an interpretation in terms of assessment and prediction. We highlight examples of the potential for such imaging capabilities to enable advances in SHM from space, focusing on dams and cultural heritage areas.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1480705
Resource Relation:
Conference: SPIE Remote Sensing, Edinburgh (United Kingdom), 26-29 Sep 2016
Country of Publication:
United States
Language:
English

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