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

Giardina, Giorgia; Milillo, Pietro; DeJong, Matthew J.; Perissin, Daniele; Milillo, G.

doi:10.1002/stc.2285

Cited by 74 publications

(72 citation statements)

References 43 publications

(72 reference statements)

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“…There is a wealth of scientific literature demonstrating the benefits of InSAR to monitor a wide spectrum of urban processes, such as subsidence [2][3][4][5], foundation settlement [1,6,7], deformation of new buildings [8], surface effects due to tunneling [9][10][11], ground motions associated to faults and local tectonics [12][13][14]. The implementation on real case studies proves the increasing use of these techniques on a routine basis and how they can influence the management of infrastructure assets and preservation of the built environment [1,15,16].…”

Section: Introductionmentioning

confidence: 99%

Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy

Milillo

Giardina

Perissin³

et al. 2019

Remote Sensing

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125

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We present a methodology for the assessment of possible pre-failure bridge deformations, based on Synthetic Aperture Radar (SAR) observations. We apply this methodology to obtain a detailed 15-year survey of the Morandi bridge (Polcevera Viaduct) in the form of relative displacements across the structure prior to its collapse on August 14th 2018. We generated a displacement map for the structure from space-based SAR measurements acquired by the Italian constellation COSMO-SkyMed and the European constellation Sentinel-1A/B over the period 2009–2018. Historical satellite datasets include Envisat data spanning 2003–2011. The map reveals that the bridge was undergoing an increased magnitude of deformations over time prior to its collapse. This technique shows that the deck next to the collapsed pier was characterized since 2015 by increasing relative displacements. The COSMO-SkyMed dataset reveals the increased deformation magnitude over time of several points located near the strands of this deck between 12th March 2017 and August 2018.

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Section: Introductionmentioning

confidence: 99%

Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy

Milillo

Giardina

Perissin³

et al. 2019

Remote Sensing

Self Cite

125

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“…The PSIs selected have a global minimum of the optimized criteria, where the sigma of velocity is minimum (< ±0.7 mm•yr -1 ) and the coherence is maximum (>0.8) [47]. The sigma of the velocity in our case for small area analysis is reasonable [66]. Although sigma of the velocity for PSIs and the velocity of the displacements have a linear trend, it seems that sigma of the velocity slightly increased towards the LOS direction ( Figure 12).…”

Section: Discussionmentioning

confidence: 82%

Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq

Othman¹,

Al-Maamar²,

Ali

et al. 2019

Remote Sensing

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On-going monitoring of deformation of dams is critical to assure their safe and efficient operation. Traditional monitoring methods, based on in-situ sensors measurements on the dam, have some limitations in spatial coverage, observation frequency, and cost. This paper describes the potential use of Synthetic Aperture Radar (SAR) scenes from Sentinel-1A for characterizing deformations at the Mosul Dam (MD) in NW Iraq. Seventy-eight Single Look Complex (SLC) scenes in ascending geometry from the Sentinel-1A scenes, acquired from 03 October 2014 to 27 June 2019, and 96 points within the MD structure, were selected to determine the deformation rate using persistent scatterer interferometry (PSI). Maximum deformation velocity was found to be about 7.4 mm·yr−1 at a longitudinal subsidence area extending over a length of 222 m along the dam axis. The mean subsidence velocity in this area is about 6.27 mm·yr−1 and lies in the center of MD. Subsidence rate shows an inverse relationship with the reservoir water level. It also shows a strong correlation with grouting episodes. Variations in the deformation rate within the same year are most probably due to increased hydrostatic stress which was caused by water storage in the dam that resulted in an increase in solubility of gypsum beds, creating voids and localized collapses underneath the dam. PSI information derived from Sentinel-1A proved to be a good tool for monitoring dam deformation with good accuracy, yielding results that can be used in engineering applications and also risk management.

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“…The main parameters of the subsidence troughs are determined separately for each mining basin, and even for each mining field, with the help of topographic measurements of high accuracy. Across the globe, the monitoring of deformation over time of the surface lands under the influence of underground mining, especially in the areas of special interest, is carried out systematically with the help of topographic and photogrammetric methods, global positioning systems (GPS) technology, interferometric synthetic aperture radar (InSAR) [16] together geographic information systems (GIS) [17], and by laser scanning (either land or aerial) [18].…”

Section: Introductionmentioning

confidence: 99%

Finite Element Analysis of the State of Stresses on the Structures of Buildings Influenced by Underground Mining of Hard Coal Seams in the Jiu Valley Basin (Romania)

et al. 2020

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The hard coal seams in the Jiu Valley mining basin have been mined with different mining methods and technologies, including with the complete caving of the surrounding rocks and with top coal caving. These mining systems have led to the degradation of the ground surface by producing subsidence of the land, ranging from a few meters up to tens of meters, in the areas with thick coal seams with high dips. When the limits of the main safety pillars are accidentally exceeded whilst mining, buildings situated either below the ground or on the surface are affected. In the future, the possibility exists of mining some of the very large reserves that are immobilized in the main safety pillars, where the gentle dip seams are stored. In consideration of the above, in order to study the behaviour of typical buildings that are under the influence of underground mining and to develop a model of the stress state in the structural elements of the structures, finite element modelling is used. As such, several modelled buildings with one, two, and three levels were generated, as well as buildings with two levels and with different lengths. These buildings were built of reinforced concrete panels or brick masonry and were subjected to the mining influence of a panel specific to the mines in the Jiu Valley basin, sequentially extracted with a longwall coal face method at different operating heights, with the use of roof control by caving of rocks and with top coal caving methods. Following the analysis of the major principal (tensile) stresses and minor principal (compressive) stresses, a series of conclusions regarding the behaviour of these buildings that are under the influence of the underground mining is revealed. In this context, it was concluded that the value and location of the stresses developed in the structure of the buildings depend mainly on the extension of the panel and the volume of the goaf, the relative position of the building in respect to the coal face line, and the length of the building.

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

Cited by 74 publications

References 43 publications

Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy

Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy

Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq

Finite Element Analysis of the State of Stresses on the Structures of Buildings Influenced by Underground Mining of Hard Coal Seams in the Jiu Valley Basin (Romania)

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