Seismic Risk Assessment for Masonry Buildings Typologies from L’Aquila 2009 Earthquake Damage Data

D’Amato, Michele; Laguardia, Raffaele; Trocchio, Gino Di; Coltellacci, Matteo; Gigliotti, Rosario

doi:10.1080/13632469.2020.1835750

Cited by 34 publications

(19 citation statements)

References 45 publications

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“…Furthermore, mean damage values for non-retrofitted masonry buildings constructed before 1919 are also reported in figure, assumed as reference for comparison. The reduction of mean damage due to the presence of structural interventions agrees with previous studies for the same area (Indirli et al 2013;Rossetto et al 2011;Azzaro et al 2011;D'Ayala and Paganoni 2011;Zucconi et al 2018;D'Amato et al 2020).…”

Section: Vulnerability Curves Derivation For Selected Parameterssupporting

confidence: 91%

“…The presence of tie beams/tie rods resulted not to have a significant influence on damage distribution of masonry buildings, particularly in masonry buildings with vaults (Del Gaudio et al 2019) and/or for poor quality masonry (D'Ayala and Paganoni 2011;Sisti et al 2018;D'Amato et al 2020). Additionally, post-earthquake damage data shows that neither new buildings nor retrofitted buildings are characterized by high percentage of tie beams/tie rods.…”

Section: General Features Of Post-earthquake Damage Data For L'aquila and Surrounding Areamentioning

confidence: 89%

“…Values of completeness threshold reported in previous studies are of the order of 0.75 (Sabetta et al 1998), 0.80 (Goretti and Di Pasquale 2004), 0.60 (Rota et al 2008), 0.91 (Del Gaudio et al 2020Rosti et al 2020a, b). The second solution (Zucconi et al 2018(Zucconi et al , 2020D'Amato et al 2020) consists of the identification of incomplete subsets and their integration using census data, considering this additional source as characterized by no-damage to any structural components.…”

Section: L'aquila Post-earthquake Databasementioning

confidence: 99%

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Evolution of the seismic vulnerability of masonry buildings based on the damage data from L'Aquila 2009 event

Gaudio

Scala

Ricci

et al. 2021

Bull Earthquake Eng

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The purpose of this study is the analysis of vulnerability trends, with particular emphasis to the evolution of the seismic behaviour of masonry buildings over the years due to the improvements in construction practices and to the enhancement of building materials over the years, also related to the subsequent enactment of seismic prescriptions. To this aim, residential masonry buildings damaged after the 2009 L'Aquila earthquake are considered, coming from the online platform Da.D.O. (Database di Danno Osservato, Database of Observed Damage) recently released from the Italian Department of Civil Protection. General features of all the parameters available from the original database are thoroughly analysed, a selection of which is used for vulnerability analysis, namely the period of construction and the design type, the presence of structural interventions, the type of horizontal structure. Vulnerability curves are obtained through an optimization technique, minimizing the deviation between observed and predicted damage. PGA from ShakeMap is used for ground motion characterization. Damage levels defined according to the European Macroseismic Scale are considered, obtained from the observed damage for vertical structures collected during the inspections. Vulnerability curves are firstly obtained as a function of period of construction and horizontal structural types, limited to the irregular layout and bad quality vertical type only, highlighting their clear influence on seismic behaviour. Lastly, the effectiveness of retrofit intervention is evaluated comparing the vulnerability curves for strengthened masonry buildings compared to those not subjected to any retrofit interventions.

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Section: Vulnerability Curves Derivation For Selected Parameterssupporting

confidence: 91%

Section: General Features Of Post-earthquake Damage Data For L'aquila and Surrounding Areamentioning

confidence: 89%

Section: L'aquila Post-earthquake Databasementioning

confidence: 99%

See 1 more Smart Citation

Evolution of the seismic vulnerability of masonry buildings based on the damage data from L'Aquila 2009 event

Gaudio

Scala

Ricci

et al. 2021

Bull Earthquake Eng

View full text Add to dashboard Cite

show abstract

“…The significant number of casualties and economic losses registered after the last seismic events has induced many research groups to focus their attention on developing vulnerability models useful for the seismic scenario and risk assessments at large scale (Lagomarsino and Giovinazzi 2006;D'Ayala 2013;Molina Hutt et al 2019). Then, the final goal is a refined evaluation of loss assessment (Aslani and Miranda 2005;Baker and Cornell 2008;Romano et al 2018Romano et al , 2021, for allocating the repair costs (Ramirez et al 2012;Di Ludovico et al 2017b;Del Vecchio et al 2020) and the optimization of retrofit strategies (Polese et al 2018;D'Amato et al 2020;Ferracuti et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Census-based typological usability fragility curves for Italian unreinforced masonry buildings

Zucconi

Ludovico

Sorrentino

2022

Bull Earthquake Eng

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The main vulnerability models available in the literature aim to develop damage fragility curves to estimate the damage level suffered by a building after a seismic event. However, recent earthquakes have highlighted the great importance of predicting the usability of residential buildings, i.e. the condition of a building being habitable or occupiable after a seismic event. The building usability performance can be used as an indicator for allocating economic funding after a seismic event because recent researches have demonstrated a stronger correlation between repair costs and usability assessment rather than between repair costs and structural damage. Therefore, this work focused on the development of census-based fragility curves for the preventive forecast of the usability of Italian unreinforced-masonry buildings. The proposed usability model was calibrated based on the 2009 L'Aquila earthquake database, including almost 60,000 unreinforced-masonry buildings, and this database was increased by adding data from the Italian census to account for uninspected constructions. Six typological classes were defined considering two parameters available both in the post-earthquake and Italian census databases: construction timespan and state of repair. Additionally, it was highlighted in which cases the number of stories was also relevant. The usability fragility curves were defined as a function of peak ground acceleration for two building usability states: partially unusable and unusable. The results confirmed that older buildings are more vulnerable and clearly pointed out the crucial role of the state of repair as a parameter influencing the building usability.

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“…For this reason, it is essential to consider a simplified structural model to take into account all the intrinsic peculiarities of the SUs, that can more correctly estimate their vulnerability level. More generally, the dynamic characterization, which is obtained through stochastic modal identification methods in the frequency domain where the source of the exciting impulse is the environmental vibration of the SUs, would be effective for an accurate cognitive investigation of the health state of buildings [22,23]. However, this task is not always possible or easy to be implemented.…”

Section: Introductionmentioning

confidence: 99%

Seismic Vulnerability Assessment and Simplified Empirical Formulation for Predicting the Vibration Periods of Structural Units in Aggregate Configuration

et al. 2021

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The present research aims at investigating the vibration period of structural units (SUs) of a typical masonry aggregate located in the historical center of Mirandola, a municipality in the province of Modena. The clustered building consists of eighteen SUs mutually interconnected to each other, which are characterized by solid brick walls and deformable floors. First of all, non-linear static analyses are performed by adopting the 3Muri software focusing on two distinct modelling techniques concerning the analyzed SUs in isolated and clustered configurations. Congruently to the procedure adopted, in order to evaluate a reliable seismic structural response of the SUs arranged in aggregate conditions, the contribution in terms of stiffness and mass derived from adjacent buildings is considered. The analysis results are represented in terms of risk factor, stiffness, and ductility. Secondly, the eigenvalue analysis is faithfully developed to identify the main vibration modes of the investigated SUs by proposing an empirical formulation, that allows for predicting the vibration period of structural units placed in aggregate configuration starting from the corresponding isolated ones. Finally, fragility functions are derived for both the heading and intermediate SUs to point out the expected damages under earthquakes with different intensities.

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Seismic Risk Assessment for Masonry Buildings Typologies from L’Aquila 2009 Earthquake Damage Data

Cited by 34 publications

References 45 publications

Evolution of the seismic vulnerability of masonry buildings based on the damage data from L'Aquila 2009 event

Evolution of the seismic vulnerability of masonry buildings based on the damage data from L'Aquila 2009 event

Census-based typological usability fragility curves for Italian unreinforced masonry buildings

Seismic Vulnerability Assessment and Simplified Empirical Formulation for Predicting the Vibration Periods of Structural Units in Aggregate Configuration

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