Damage data on low-to-mid-rise Reinforced Concrete (RC) buildings, collected during the UK Earthquake Engineering Field Investigation Team post-earthquake reconnaissance mission on the August 24 Central Italy earthquake, are employed to derive empirical fragility relationships. Given the small dataset, the new data distributions are used for the Bayesian update of fragility functions derived for the L’Aquila earthquake (same seismic region and similar construction typologies). Other properties such as number of storeys, age of construction and shape in plan of the buildings are also analyzed. This information is employed to assess the ability of the FAST method to predict damage states in non-regular infilled RC buildings for the municipali...
In the aftermath of the Mw 6.0 August 24, 2016 Central Italy earthquake, the authors carried out a r...
A damage data database of 131 reinforced concrete (RC) buildings, collected after 2009 L’Aquila (Ita...
The study analyses the data related to a database of 7597 private Reinforced Concrete buildings loca...
The lessons learned after recent earthquakes have highlighted the key role played by infills and ser...
A straightforward vulnerability methodology, named FAST approach, for earthquake hazard assessment o...
A back analysis aimed at the evaluation of reinforced concrete frame buildings performance during th...
The paper analyses the seismic fragility of precast reinforced concrete buildings using observationa...
In this paper, empirical fragility curves for reinforced concrete buildings are derived, based on po...
Data of the Italian National Institute of Statistics are collected aimed at characterizing Reinforce...
The primary objective is to present the most representative types of damage observed in reinforced c...
The primary objective is to present the most representative types of damage observed in reinforced c...
A set of about 25,000 residential reinforced concrete (RC) buildings has been investigated in this s...
A generalized formulation of FAST vulnerability method for Reinforced Concrete Moment Resisting Fra...
In the aftermath of the Mw 6.0 August 24, 2016 Central Italy earthquake, the authors carried out a r...
In the aftermath of the Mw 6.0 August 24, 2016 Central Italy earthquake, the authors carried out a r...
A damage data database of 131 reinforced concrete (RC) buildings, collected after 2009 L’Aquila (Ita...
The study analyses the data related to a database of 7597 private Reinforced Concrete buildings loca...
The lessons learned after recent earthquakes have highlighted the key role played by infills and ser...
A straightforward vulnerability methodology, named FAST approach, for earthquake hazard assessment o...
A back analysis aimed at the evaluation of reinforced concrete frame buildings performance during th...
The paper analyses the seismic fragility of precast reinforced concrete buildings using observationa...
In this paper, empirical fragility curves for reinforced concrete buildings are derived, based on po...
Data of the Italian National Institute of Statistics are collected aimed at characterizing Reinforce...
The primary objective is to present the most representative types of damage observed in reinforced c...
The primary objective is to present the most representative types of damage observed in reinforced c...
A set of about 25,000 residential reinforced concrete (RC) buildings has been investigated in this s...
A generalized formulation of FAST vulnerability method for Reinforced Concrete Moment Resisting Fra...
In the aftermath of the Mw 6.0 August 24, 2016 Central Italy earthquake, the authors carried out a r...
In the aftermath of the Mw 6.0 August 24, 2016 Central Italy earthquake, the authors carried out a r...
A damage data database of 131 reinforced concrete (RC) buildings, collected after 2009 L’Aquila (Ita...
The study analyses the data related to a database of 7597 private Reinforced Concrete buildings loca...