Bayesian networks for assessment of disruption to school systems under combined hazards

Vatteri, Ahsana Parammal; D’Ayala, Dina; Gehl, Pierre

doi:10.1016/j.ijdrr.2022.102924

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…This range is comparable to the assumed reduction rate of material strength, hence, suggests the need for reliable studies on material degradation from frequent flooding and drying. The results can be used to derive fragility functions and for probabilistic disruption assessment, combining the accessibility losses and use of schools as shelters [7]. The results could also be extended to residential buildings having similar typology of construction.…”

Section: Results Of the Capacity Analysismentioning

confidence: 99%

“…This study examines the physical capacity of the masonry buildings to resist hydrostatic loads from the standing floodwater, by means of numerical analysis using applied element method (AEM) [6]. The functionality and accessibility losses are other significant concerns in the disruption assessment, which are dealt in more detail in [7]. Masonry school buildings with varying levels of confinement around masonry are modelled on the AEM platform, using material properties gathered from literature.…”

Section: Introduction/backgroundmentioning

confidence: 99%

“…More details of these confined masonry buildings can be found in [8]. Together with the functionality loss, the physical flood capacity estimates of the school buildings can be used for assessing education disruption at schools, through probabilistic approaches such as Bayesian networks [7].…”

Section: Introduction/backgroundmentioning

confidence: 99%

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Flood capacity assessment of confined masonry school buildings for education disruption assessment

Vatteri

D’Ayala

2023

Flood Capacity Assessment of Confined Masonry School Buildings for Education Disruption Assessment

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Flood is one of the most common natural hazards that causes fatalities and significant disruption to human life, including to the education delivery through schools. Although the functionality disruption is significant, standing floodwater also causes lateral hydrostatic thrust on outer walls of buildings. This study examines the physical capacity of school buildings against flood loads by means of numerical modelling using Applied Element Method. Masonry buildings with varying levels of confinement are subjected to out-of-plane hydrostatic pressure, to assess the failure mechanisms and to estimate the lateral load carrying capacity, thus identifying the critical collapse depth of water. The study also looks at the effect of material degradation on the ultimate flood capacity. This result is further utilized to estimate physical and functional disruption to education delivery at schools. Peer-review under the responsibility of the organizing committee of the ICMB23.

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Section: Results Of the Capacity Analysismentioning

confidence: 99%

Section: Introduction/backgroundmentioning

confidence: 99%

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Flood capacity assessment of confined masonry school buildings for education disruption assessment

Vatteri

D’Ayala

2023

Flood Capacity Assessment of Confined Masonry School Buildings for Education Disruption Assessment

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“…The school building aggregate studied in this paper, belonging to a typology widely studied in a seismic perspective in the last years [24,25], is located near the centre of Amatrice. The aerial view of the aggregate is reported in Figure 1a, while in Figure 1b, the three buildings belonging to the aggregate are evidenced.…”

Section: Description Of the Building Aggregatementioning

confidence: 99%

Analysis of the Recorded Response of a School Building Heavily Damaged by the 2016 Central Italy Earthquake

et al. 2022

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The OSS (acronym of the Italian “Osservatorio Sismico delle Strutture”) is a network of permanent seismic monitoring systems installed on about 150 buildings in Italy. Each system consists of a number of sensors sufficient to completely describe the dynamic response of the structure. Structural typologies have been selected according to their representativeness of the public building stock and to their importance for emergency management. Data available for each building include: structural survey and in situ tests on materials, experimental modal analysis, finite element models and model updating. In the above framework, a school building located in Amatrice, a small town in the meizoseismal area heavily impacted by the 2016 Central Italy earthquake, is one of the buildings instrumented by the OSS; thus, its monitored dynamic response, including that under the main shock, is available. The building showed diffused huge damage with partial collapses. Firstly, a linear finite element model is used in the interpretation of small amplitude vibrations in order to give a reliable dynamic characterization of the initial conditions of the structure. Some relevant quantities of the recorded structural motion under seismic excitation are used to describe the experimental dynamic behaviour. The recorded displacements are then applied to a nonlinear finite element model, and the numerical results are compared with the experimental evidence. The main aim is to discuss the capability of the combined use of experimental response and computational tools in quantifying damage suffered by a structure on the basis of the measured response to an earthquake.

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Artificial Intelligence Algorithms in Flood Prediction: A General Overview

Pandey

2024

Geo-Information for Disaster Monitoring and Management

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Bayesian networks for assessment of disruption to school systems under combined hazards

Cited by 8 publications

References 44 publications

Flood capacity assessment of confined masonry school buildings for education disruption assessment

Flood capacity assessment of confined masonry school buildings for education disruption assessment

Analysis of the Recorded Response of a School Building Heavily Damaged by the 2016 Central Italy Earthquake

Artificial Intelligence Algorithms in Flood Prediction: A General Overview

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