Once upon a Time in Italy: The Tale of the Morandi Bridge

Calvi, Gian Michele; Moratti, Matteo; O’Reilly, Gerard J.; Scattarreggia, Nicola; Monteiro, Ricardo; Malomo, Daniele; Calvi, Paolo M.; Pinho, Rui

doi:10.1080/10168664.2018.1558033

Cited by 186 publications

(91 citation statements)

References 7 publications

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“…No consensus has been found yet on the failure mechanism and the conditions which led to that mechanism. Different potential failure mechanisms have been evaluated [30].…”

Section: Discussionmentioning

confidence: 99%

“…Possible collapse modes included: (a) The loss of capacity of one of the stays connecting the deck with the antenna of balanced system 9; (b) the shear failure of the cantilever beam of system 9 or the connecting simply supporting beam; (c) a local failure at the connection between the stay and the deck. These mechanisms have been considered in relation to their ability of triggering the complete failure of one of the stays and the subsequent failure of the whole system 9 [30]. With reference to the pre-existing conditions which could have led to one of these mechanisms, a general material degradation has been documented for both the stays and the deck beams [23,29].…”

Section: Discussionmentioning

confidence: 99%

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

Milillo

Giardina

Perissin³

et al. 2019

Remote Sensing

134

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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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“…No consensus has been found yet on the failure mechanism and the conditions which led to that mechanism. Different potential failure mechanisms have been evaluated [30].…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

Milillo

Giardina

Perissin³

et al. 2019

Remote Sensing

134

View full text Add to dashboard Cite

show abstract

“…On the other hand, structural problems in bridges can cause budget concerns to the administrations, leading to economic consequences at local or national level. One dramatic example is the Polcevera Viaduct in Genova, Italy, also known as the "Morandi Bridge", that collapsed in August 2018 [2][3] and caused several victims and consequences on the local and national viability. This disaster caused a major political debate outlining the critical state of transport infrastructure in Italy and raised wider enquiries about the condition of bridges across Europe [4].…”

Section: Introductionmentioning

confidence: 99%

Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

Gagliardi

Ciampoli

D’Amico

et al. 2020

SPIE Future Sensing Technologies

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Satellite Remote-Sensing has been successfully applied for detection of natural-hazards, (e.g. seismic events, landslides and subsidence) and transport infrastructure monitoring over the last few years. Persistent Scatterer SAR Interferometry (PSI), is a satellite remote sensing technique able to measure ground displacements over the time. More specifically, the PSI technique is an evolution of the DInSAR technique and it is based on a statistical multi-temporal differential interferogram analysis. This allows to determine coherent stable-pixels over a data-stack of SAR images, in order to identify potential ground displacements. This study aims at demonstrating the potential of the PSI technique as an innovative health-monitoring methodology for the structural integrity of bridges. For this purpose, X-Band COSMO-SkyMed images provided by the Italian Space Agency (ASI) were acquired and processed in order to detect structural displacements of the Rochester Bridge in Rochester, UK. Outcomes of this investigation outlined the presence of various PSs over the inspected bridge, which were proven useful to achieve a more comprehensive monitoring methodology and to assess the structural integrity of the bridge. This research paves the way for the development of a novel interpretation approach relying on the integration between remote-sensing technologies and on-site surveys to improve upon current maintenance strategies for bridges and transport assets.

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“…The unexpected collapse of large scale structures (e.g. [18]), demonstrates the importance of investigating damage evolution in structures of relevance for civil and structural engineering.…”

Section: Introductionmentioning

confidence: 99%

Random fuse model in the presence of self-healing

2020

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Self-regeneration is a fundamental property of biological materials, leading to enhanced mechanical strength and toughness if subjected to stress and fatigue. Numerous efforts have been devoted to emulate this property and various self-healing materials have been designed with the aim of a practical adoption in construction and mechanical engineering. To achieve this, it is important to understand how damage evolution and fracture propagation are modified by self-healing and to evaluate how mechanical behaviour is affected before failure. In this paper, we implement for the first time a selfhealing procedure in the random fuse model, whose characteristic scaling properties have been widely studied in the literature on damage evolution modelling. We identify some characteristic signatures of self-healing, showing that it can delay the failure of a material undergoing loading, but it also lead to a hard-to-predict, more catastrophic breakdown.

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Once upon a Time in Italy: The Tale of the Morandi Bridge

Cited by 186 publications

References 7 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

Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

Random fuse model in the presence of self-healing

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