Damage patterns in the town of Amatrice after August 24th 2016 Central Italy earthquakes

Fiorentino, Gabriele; Forte, Angelo; Pagano, Enrico; Sabetta, Fabio; Baggio, Carlo; Lavorato, Davide; Nuti, Camillo; Santini, Silvia

doi:10.1007/s10518-017-0254-z

Cited by 128 publications

(68 citation statements)

References 14 publications

(4 reference statements)

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“…Although it plays a key role in the LCE analysis of the municipality of Amatrice, the earthquakes that hit Central Italy on 24 August, 26 October, and 30 October 2016 triggered major damage, mostly to buildings and architectural heritage structures along the road, causing closure of the road already with the seismic events of 24 August. More specifically, two shocks were felt on 24 August: the main shock at 3:36 a.m. (local time) with magnitude Mw = 6.2 and epicenter close to Accumoli (Rieti province), and the aftershock at 4.33 a.m. with a magnitude Mw = 5.5 and epicenter close to Norcia (Perugia province) [20]. According to the Italian Civil Protection Department [21], these seismic events caused a total of 299 fatalities, and 386 people were injured and about 4800 rendered homeless.…”

Section: Case Studymentioning

confidence: 99%

Fragility Curves of the Urban Road Network Based on the Debris Distributions of Interfering Buildings

2020

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Fragility curves are essential tools to quantitatively assess the physical vulnerability of structures and infrastructures at risk for a given seismic hazard. They describe the probability of exceeding a given performance level under earthquake excitation, and are usually defined by a lognormal probability distribution function. Although debris from damaged buildings adjacent to road edges is the main cause of urban mobility disruption, studies on the fragility curves development for infrastructures subject to seismic actions focus on geotechnical effects, and do not analyze this type of road blockage. The article proposes an analytical procedure to construct fragility curves for urban road networks. It is based on the construction of debris graphs and the use of an appropriate fitting technique. For a given seismic intensity measure level, the developed fragility curves express the probability that the road is open or closed to the transit of emergency vehicles after debris fall. Therefore, the performance level is defined in terms of the width of the road pavement that remains free after the debris fall, or the width of the debris heap on the road pavement. Finally, the proposed framework is tested with real data of the main street in Amatrice, and the results are presented and discussed.

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Section: Case Studymentioning

confidence: 99%

Fragility Curves of the Urban Road Network Based on the Debris Distributions of Interfering Buildings

2020

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“…The seismic activity that hit the central area of Italy in 2016 stresses, once again, the fragility of those territories characterized by the presence of small medieval historic centers made of poor masonry structures (Fiorentino et al, 2018;Sorrentino et al, 2018). For this reason, their seismic vulnerability assessment is a very timely topic that needs to be faced urgently.…”

Section: Introductionmentioning

confidence: 99%

Seismic Vulnerability of Buildings in Historic Centers: From the “Urban” to the “Aggregate” Scale

Cocco

D'Aloisio

Spacone

et al. 2019

Front. Built Environ.

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Seismic vulnerability assessment of urban centers is a challenging issue that needs to be faced accurately for the earthquake risk of large territorial areas. The selection of suitable methods is a crucial aspect that must be treated according to different evaluation processes, depending on the size of the problem and on the available calculation capacities. A possible strategy consists in analyzing large stocks of buildings, so to include in the analyses all those structural parameters that characterize their response and to involve the variability of the considered features. This would require a high computational effort that should be addressed to the investigation of the response of a large number of models. For this reason, simplified procedures based on engineeristic judgements, are commonly considered a viable way to be undertaken in order to predict damage scenarios. Alternatively, the attention could be focused on a limited number of buildings that are judged to be representative of the whole stock. In this case, more sophisticated analyses could be carried out and the obtained results could be extended to the whole urban center. Based on this premise, this paper presents the results obtained through the application of two different seismic vulnerability methodologies on the historic center of Campotosto, in Italy, which was hit by the last 2016 Central Italy earthquake. The first is an empirical method, applied considering a large stock of 130 buildings, which was calibrated by the authors after the 2009 L'Aquila earthquake for historical centers that are similar to the one studied in this paper. The latter, is a method based on analytical formulations dealt with by the Vulnus software, developed at the University of Padua in Italy, which was used for evaluating the seismic vulnerability of an aggregate building, which has been considered representative of the historic center. The final aim is to compare, also in the light of the damage provoked by the 2016 earthquake, the observed post-seismic scenarios, expressed in terms of fragility curves, derived from the two applied methodologies, in order to prove their reliability and to stress the possible issues related to their implementation at different scales.

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“…Particularly, the assessment of the health condition and conservation of masonry structures, which constitute a large portion of the heritage assets, is of primary concern because of their intrinsic vulnerability to aging deterioration and natural hazards . Recent severe seismic events such as the moment magnitude 6.2 earthquake of Amatrice (Italy) in 2006 caused the partial or total collapse of a large portion of the masonry buildings in the historical center of the municipality . This has motivated the implementation of structural health monitoring (SHM) systems as a possible solution for preventive conservation in a context of limited budget .…”

Section: Introduction and Research Aimmentioning

confidence: 99%

“…1 Recent severe seismic events such as the moment magnitude 6.2 earthquake of Amatrice (Italy) in 2006 caused the partial or total collapse of a large portion of the masonry buildings in the historical center of the municipality. 2 This has motivated the implementation of structural health monitoring (SHM) systems as a possible solution for preventive conservation in a context of limited budget. 3 SHM encompasses the application of nondestructive testing (NDT) and damage detection and localization tools that enable the automated assessment of the integrity of structures and allow an effective condition-based maintenance.…”

Section: Introduction and Research Aimmentioning

confidence: 99%

Earthquake‐induced damage detection and localization in masonry structures using smart bricks and Kriging strain reconstruction: A numerical study

García‐Macías

Ubertini

2018

Earthq Engng Struct Dyn

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Summary The intrinsic vulnerability of masonry structures to seismic events makes structural health monitoring of the utmost importance for the conservation of the built heritage. The development of piezoresistive bricks, also termed smart bricks, is an innovative technology recently proposed by the authors for the monitoring of such structures. Smart bricks exhibit measurable variations in their electrical properties when subjected to external loads or, alternatively, strain self‐sensing capabilities. Therefore, the deployment of a network of smart bricks into a masonry structure confers self‐diagnostic properties to the host structure. In this light, this paper presents a theoretical investigation on the application of smart bricks to full‐scale masonry structures for seismic assessment. This includes the study of the convenience of providing electrical isolation conditions to the sensors, as well as the effectiveness of smart bricks when installed into either new constructions or in pre‐existing structures. Secondly, numerical results are presented on the seismic analysis of a three‐dimensional masonry building equipped with a network of smart bricks. Finally, in order to map the strain field throughout the structure exploiting the outputs of a limited number of sensors, an interpolation‐based strain reconstruction approach is proposed.

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Damage patterns in the town of Amatrice after August 24th 2016 Central Italy earthquakes

Cited by 128 publications

References 14 publications

Fragility Curves of the Urban Road Network Based on the Debris Distributions of Interfering Buildings

Fragility Curves of the Urban Road Network Based on the Debris Distributions of Interfering Buildings

Seismic Vulnerability of Buildings in Historic Centers: From the “Urban” to the “Aggregate” Scale

Earthquake‐induced damage detection and localization in masonry structures using smart bricks and Kriging strain reconstruction: A numerical study

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