Simplified survey form of unreinforced masonry buildings calibrated on data from the 2009 L’Aquila earthquake

Zucconi, Maria; Ferlito, Rachele; Sorrentino, Luigi

doi:10.1007/s10518-017-0283-7

Cited by 39 publications

(36 citation statements)

References 34 publications

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“…Figure 1 reports the typological classification of the entire 22,554 buildings dataset for the 2012 Emilia earthquake, based on vertical earthquake-resistant structure. The figure shows the large prevalence of masonry buildings, slightly above the 79%, as similarly recorded after 2009 L'Aquila earthquake [16], followed by RC frame buildings, with less than the 10%, and mixed structure, that present different structural systems in the same buildings, as RC frame and masonry. A large prevalence of good quality masonry can be highlighted for both masonry buildings (M1) and mixed structures (RC-M1).…”

Section: Rc Frame Building Samplementioning

confidence: 60%

“…Differently, the exponential distribution, as proposed by Rossetto & Elnashai [26], is expressed by Equation 3, where and are the distribution parameters to be calibrated: Figure 6 and Figure 7 present the sets of damage state fragility curves calibrated for low-rise and mid-rise building class, respectively considering all the PGA intervals ( Figure 6), as defined in section 3, and excluding from the calibration the damage data regarding the first PGA interval (Figure 7). This second alternative aims to evaluate how the damage states fragility curves vary neglecting damage data connected to areas with low shaking intensity [16], where the number of surveyed buildings is rather low with respect to the total number of building in that area, thus the dataset is incomplete. A similar criterion is also adopted by Del Gaudio 2017 [11].…”

Section: Calibration Of Empirical Fragility Curvesmentioning

confidence: 99%

See 1 more Smart Citation

Seismic Fragility Curves for Rc Buildings at Territorial Scale

Romano¹,

Zucconi²,

Ferracuti³

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The seismic events recently occurred in a different part of the world remind us once again the importance of reducing the risk of the national building stock. In order to properly invest the limited funds available for the retrofit of most exposed constructions, it is fundamental an estimate of the seismic vulnerability of the different building typologies. Such vulnerability is nowadays mainly expressed in terms of fragility curves, calibrated through post-seismic observed data or simulated data obtained by building mechanical models. In this paper, empirical fragility curves are presented for existing reinforced concrete buildings based on the post-earthquake observational data collected after the 2012 Emilia earthquake. This structural typology presents large variability in terms of seismic performance, depending on the seismic design level and other parameters such as the number of stories and the building typological classifications. Various regression models and statistical procedures have been proposed over the years to obtain fragility curves, hence more than one stochastic model is adopted, in order to point out how the fragility curves parameters change by varying the assumed probabilistic distribution.

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Section: Rc Frame Building Samplementioning

confidence: 60%

Section: Calibration Of Empirical Fragility Curvesmentioning

confidence: 99%

Seismic Fragility Curves for Rc Buildings at Territorial Scale

Romano¹,

Zucconi²,

Ferracuti³

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

Self Cite

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“…Based on a census that catalogued brick buildings in the crater regions in 2018 [89], usable school buildings from the MIUR AES database [52] were censused to investigate formal aspects in relation to distribution and technological characteristics. Another analysis and comparison tool took the Ecosystem Report of Legambiente scuola as a reference, allowing us to have a clear vision at the national level of the school building heritage and its state of conservation so as to be able to compare data on a national scale with regional data [50].…”

Section: Surveymentioning

confidence: 99%

An Interpretative Matrix for an Adaptive Design Approach. Italian School Infrastructure: Safety and Social Restoration

Ingaramo

Pascale

2020

Sustainability

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The Italian school infrastructure has suffered in recent decades from an immobility that has generated critical issues and shortcomings in the management of structures, safety adjustments, and innovations in the architectural and pedagogical model. This type of stasis, due to the scarcity of resources on a national scale and the decrease in the birth rate of the country, has meant that the buildings are largely inadequate from both a regulatory and socio/pedagogical point of view, with a level of degradation that is leading to a progressive abandonment of several structures, generating further insecurity at the urban level. In Italy, the current health emergency (SARS-CoV-2), with the necessity of wider spaces for social distancing and less numerous classes, has further highlighted the strongly problematic nature of an extensive and often obsolete school building heritage, raising the need to reevaluate heritage in terms of safety, accessibility, economic impact, and, last but not least, social cohesion. The paper proposes an approach that starts from the analysis of regulations and data on a national scale related to the structural and formal conditions of school buildings, interpreting and evaluating their safety with a holistic approach, to then proceed to the definition of a design survey matrix able to classify the selected cases and give an interpretative reading that includes the vastest number of characterizing factors. The Italian territory (between Abruzzo, Lazio, and Umbria) affected by the 2016 and 2017 earthquakes has been selected as a significant case study due to its obvious conditions of further criticality for the formulation of an evaluation methodology through an extensive field survey, cross-referenced with available data on the resilience of school structures and their role in the urban fabric, with the ultimate aim of identifying functional methods for their adaptation to a contemporary, safe, flexible, and shared school model with local communities.

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“…Every seismic sequence involving an old town, from the Friuli Earthquake in 1976 up to the Central Italy Earthquake in 2016, highlights the high vulnerability of ancient unreinforced masonry buildings [1][2][3][4][5][6]. This vulnerability depends either on the structural arrangement-strictly related to the resistance against dynamic horizontal actions-or on the masonry quality.…”

Section: Introductionmentioning

confidence: 99%

Masonry Walls Retrofitted with Vertical FRP Rebars

2020

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The out-of-plane behaviour of the walls as a consequence of an earthquake is the main vulnerability of existing masonry structures. In the case of rigid in compression not tensile resistant material, incremental dynamic analyses may be employed to evaluate the effective strength of a rocking element. When the seismic capacity of the wall is inadequate, retrofit interventions are required to assure an acceptable safety level. Conventional seismic retrofitting techniques on masonry walls influence the seismic performance of the element, which typically is modified in an out-of-plane bending behaviour. In this paper, analytical investigations are presented to investigate the possibility of a seismic retrofitting intervention able to increase the seismic strength of the wall without modifying its seismic behaviour. The analysed retrofitting technique consists in the application of composite vertical bars either in the middle section of the wall or at its external surfaces. The seismic behaviour of the retrofitted masonry wall is analytically evaluated by means of a parametric incremental dynamic analysis, carried out with an ad hoc in-house software. The effectiveness of the intervention is analysed in terms of level of seismic improvement, defined as the ratio between the seismic capacity of the reinforced and unreinforced walls.

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Simplified survey form of unreinforced masonry buildings calibrated on data from the 2009 L’Aquila earthquake

Cited by 39 publications

References 34 publications

Seismic Fragility Curves for Rc Buildings at Territorial Scale

Seismic Fragility Curves for Rc Buildings at Territorial Scale

An Interpretative Matrix for an Adaptive Design Approach. Italian School Infrastructure: Safety and Social Restoration

Masonry Walls Retrofitted with Vertical FRP Rebars

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