How to create seismic risk scenarios in historic built environment using rapid data collection and managing

Quagliarini, Enrico; Lucesoli, Michele; Bernardini, Gabriele

doi:10.1016/j.culher.2020.12.007

Cited by 16 publications

(11 citation statements)

References 58 publications

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“…Often, these studies have based their analysis on the same case studies, including their peculiarities. Some of them have tried to elaborate the classification of BEs, based on a specific risk [22] or regional surveys of OSs [23]. In their research, Mandolesi and Ferrero [23] have investigated all the OSs in the Piceno area of the Marche Region of Italy, defining recurring typologies of this type of BE.…”

Section: Towards the Idealization Of The Built Environmentmentioning

confidence: 99%

“…P5 relates to functional issues in BEs. Considering SUODs, the presence of special buildings attracting visitors (including tourists) could represent special targets for terrorist acts, increasing the exposure for people hosted in the BE [22]. Concerning SLODs, special buildings can increase the exposure, in terms of numbers and types of people with possible health fragilities and risky conditions of overcrowding [51].…”

Section: Open Space Parameters For Bet Definitionmentioning

confidence: 99%

“…As highlighted by Quagliarini et al [22], sources of data that are easily available are preferred, in order to avoid costly in situ surveys, and permit the reproduction of the workflow by non-expert technicians. In this specific case, the detailed parameters are not secondary for the BE analysis, but need to be investigated through in situ surveys, as no reliable database for these data is available.…”

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confidence: 99%

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Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

et al. 2021

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Planning for preparedness, in terms of multi-hazard disasters, involves testing the relevant abilities to mitigate damage and build resilience, through the assessment of deterministic disaster scenarios. Among risk-prone assets, open spaces (OSs) play a significant role in the characterization of the built environment (BE) and represent the relevant urban portion on which to develop multi-risk scenarios. The aim of this paper is to elaborate ideal scenarios—namely, Built Environment Typologies (BETs)—for simulation-based risk assessment actions, considering the safety and resilience of BEs in emergency conditions. The investigation is conducted through the GIS data collection of the common characteristics of OSs (i.e., squares), identified through five parameters considered significant in the scientific literature. These data were processed through a non-hierarchical cluster analysis. The results of the cluster analysis identified five groups of OSs, characterized by specific morphological, functional, and physical characteristics. Combining the outcomes of the cluster analysis with a critical analysis, nine final BETs were identified. The resulting BETs were linked to characteristic risk combinations, according to the analysed parameters. Thus, the multi-risk scenarios identified through the statistical analysis lay the basis for future risk assessments of BEs, based on the peculiar characteristics of Italian towns.

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Section: Towards the Idealization Of The Built Environmentmentioning

confidence: 99%

Section: Open Space Parameters For Bet Definitionmentioning

confidence: 99%

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confidence: 99%

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Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

et al. 2021

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“…Damages of masonry buildings determine the highest proportion of impacts in earthquakes considering both casualties and losses in architectural heritage [3], especially in Historical Built Environment (HBE), which is a vulnerable building stock as buildings are characterised by Un-Reinforced Masonry (URM) structures that are more prone to collapse [4]. Moreover, such buildings are generally part of an aggregate of buildings with structural deficiencies due to the historical evolution and transformation processes, unmanaged stratifications, and obsolescence that affect the overall behaviour to seismic ground shaking [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the seismic vulnerability assessment has great relevance to the damage scenarios prediction for the development of effective risk reduction and mitigation strategies aimed at strengthening interventions of the building stock to reduce failures and at an adequate emergency planning [2,4,13].…”

Section: Introductionmentioning

confidence: 99%

A Novel Seismic Vulnerability Assessment of Masonry Façades: Framing and Validation on Caldarola Case Study After 2016 Central Italy Earthquake

2021

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An important portion of the historical built environment, which is characterized by un-reinforced masonry, is particularly vulnerable to collapse in case of earthquakes, as demonstrated by recent events. Strategies to target the facades of the most vulnerable buildings need to be tailored for retrofitting and emergency planning. In this research, a novel expeditious vulnerability assessment method, particularly suitable for historical masonry aggregates, is proposed. The method allows assessing the vulnerability index based on information available from external surveys on the building, thus facilitating and speeding up the investigation. If other more precise information (e.g., curbs and tie rods effectiveness) is available, the vulnerability estimation can be improved. The method focuses on out-of-plane mechanisms of the facade, which cause debris to fall on adjacent streets, impeding emergency response. The expeditious method is tailored starting from analytical methods applied on a large sample of historical buildings hit by earthquakes, and validated by means of comparison with kinematic analysis and observed damage state on a relevant case study, Caldarola (Macerata, Central Italy, which was struck by the earthquake in 2016). Results show a good agreement between the proposed method, the kinematic analysis, and the observed damage state of the considered case study, with 75% and 87.5% correspondence, and the method is especially precise for evaluating highly damaged facades.

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User’s Factors: Vulnerability and Exposure

Salvalai,

Quagliarini,

Blanco Cadena

et al. 2024

SpringerBriefs in Applied Sciences and Technology

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How to create seismic risk scenarios in historic built environment using rapid data collection and managing

Cited by 16 publications

References 58 publications

Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

A Novel Seismic Vulnerability Assessment of Masonry Façades: Framing and Validation on Caldarola Case Study After 2016 Central Italy Earthquake

User’s Factors: Vulnerability and Exposure

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