Calibration of vulnerability and fragility curves from moderate intensity Italian earthquake damage data

2021 ◽  
pp. 102676
Author(s):  
Giovanni Menichini ◽  
Viola Nistri ◽  
Sonia Boschi ◽  
Emanuele Del Monte ◽  
Maurizio Orlando ◽  
...  
Keyword(s):  
Fragility Curves ◽  
Earthquake Damage ◽  
Moderate Intensity ◽  
Damage Data ◽  
Italian Earthquake

scholarly journals Fragility estimation for global building classes using analysis of the Cambridge earthquake damage database (CEQID)

2021 ◽  
Author(s):  
Robin Spence ◽  
Sandra Martínez-Cuevas ◽  
Hannah Baker
Keyword(s):  
Fragility Curves ◽  
Resistance Index ◽  
Earthquake Damage ◽  
Ground Acceleration ◽  
Damage Level ◽  
Ground Motion Parameter ◽  
Geographical Regions ◽  
Concrete Building ◽  
Damage Data ◽  
Regional Comparisons

AbstractThis paper describes CEQID, a database of earthquake damage and casualty data assembled since the 1980s based on post-earthquake damage surveys conducted by a range of research groups. Following 2017–2019 updates, the database contains damage data for more than five million individual buildings in over 1000 survey locations following 79 severely damaging earthquakes worldwide. The building damage data for five broadly defined masonry and reinforced concrete building classes has been assembled and a uniform set of six damage levels assigned. Using estimated peak ground acceleration (PGA) for each survey location based on USGS Shakemap data, a set of lognormal fragility curves has been developed to estimate the probability of exceedance of each damage level for each class, and separate fragility curves for each of five geographical regions are presented. A revised set of fragility curves has also been prepared in which the bias in the curve resulting from the uncertainty in the ground motion parameter has been removed. The uncertainty in the fragility curves is evaluated and discussed and the curves are compared with those from other studies. A resistance index for each class of building is developed and cross-regional comparisons using this resistance index are presented.

A Beta Distribution Model for Characterizing Earthquake Damage State Distribution

2015 ◽  
Vol 31 (3) ◽  
pp. 1337-1352 ◽  
Author(s):  
David Lallemant ◽  
Anne Kiremidjian
Keyword(s):  
Beta Distribution ◽  
Fragility Curves ◽  
Earthquake Damage ◽  
Distribution Model ◽  
State Distribution ◽  
Damage State ◽  
Damage Probability Matrices ◽  
Damage States ◽  
Damage Data ◽  
Probability Matrices

This study investigates methods for modeling the distribution of post-earthquake damage among categorical damage states. Specifically, it is demonstrated that the beta distribution is a good model for characterizing the complete probability distribution of damage states conditioned on ground-motion intensity. Based on extensive post-earthquake damage surveys following the 2010 earthquake in Haiti, the paper proposes the method-of-moments and maximum likelihood estimate-based formulations to fit a beta distribution model to grouped categorical damage data. The beta distribution model is further compared with one based on the binomial distribution, often used to estimate damage state distribution. The study demonstrates that the beta distribution results in little bias and variance in predictions of damage and loss. This model can be the basis for developing damage probability matrices, fragility curves, post-disaster damage estimations, risk assessments, and more.

scholarly journals Fragility Estimation for Global Building Classes Using Analysis of the Cambridge Earthquake Damage Database (CEQID)

2021 ◽  
Author(s):  
Robin Spence ◽  
Sandra Martinez-Cuevas ◽  
Hannah Baker
Keyword(s):  
Fragility Curves ◽  
Resistance Index ◽  
Earthquake Damage ◽  
Ground Acceleration ◽  
Damage Level ◽  
Ground Motion Parameter ◽  
Geographical Regions ◽  
Concrete Building ◽  
Damage Data ◽  
Regional Comparisons

Abstract This paper describes CEQID, a database of earthquake damage and casualty data assembled since the 1980s based on post-earthquake damage surveys conducted by a range of research groups. Following 2017–2019 updates, the database contains damage data for more than five million individual buildings in over 1000 survey locations following 79 severely damaging earthquakes worldwide. The building damage data for five broadly defined masonry and reinforced concrete building classes has been assembled and a uniform set of six damage levels assigned. Using estimated peak ground acceleration (PGA) for each survey location based on USGS Shakemap data, a set of lognormal fragility curves has been developed to estimate the probability of exceedance of each damage level for each class, and separate fragility curves for each of five geographical regions are presented. A revised set of fragility curves has also been prepared in which the bias in the curve resulting from the uncertainty in the ground motion parameter has been removed. The uncertainty in the fragility curves is evaluated and discussed and the curves are compared with those from other studies. A resistance index for each class of building is developed and cross-regional comparisons using this resistance index are presented.

Deriving vulnerability curves using Italian earthquake damage data

2008 ◽  
Vol 6 (3) ◽  
pp. 485-504 ◽  
Author(s):  
Miriam Colombi ◽  
Barbara Borzi ◽  
Helen Crowley ◽  
Mauro Onida ◽  
Fabrizio Meroni ◽  
...  
Keyword(s):  
Earthquake Damage ◽  
Damage Data ◽  
Italian Earthquake

Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake

2016 ◽  
Vol 15 (4) ◽  
pp. 1425-1450 ◽  
Author(s):  
Carlo Del Gaudio ◽  
Giuseppina De Martino ◽  
Marco Di Ludovico ◽  
Gaetano Manfredi ◽  
Andrea Prota ◽  
...  
Keyword(s):  
Fragility Curves ◽  
L’Aquila Earthquake ◽  
Rc Buildings ◽  
2009 L’Aquila Earthquake ◽  
Damage Data

‘CORRECTING’ EARTHQUAKE DAMAGE DATA FOR POPULATION DENSITY

Disasters ◽  
1982 ◽  
Vol 6 (2) ◽  
pp. 154-154
Author(s):  
David Kernball-Cook
Keyword(s):  
Population Density ◽  
Earthquake Damage ◽  
Damage Data

scholarly journals Seismic Assessment Of Multi-Span Steel Railway Bridge In Turkey Base On The Nonlinear Time History Analyses

2017 ◽  
Author(s):  
Mehmet F. Yilmaz ◽  
Barlas Ö. Çağlayan
Keyword(s):  
Fragility Curves ◽  
Time History ◽  
Field Measurements ◽  
Response Analysis ◽  
Northridge Earthquake ◽  
Railway Bridge ◽  
Railway Line ◽  
Damage Data ◽  
Steel Railway Bridge ◽  
Nonlinear Time History

Abstract. It has been seen that bridges are vulnerable to earthquakes by the research studies after important earthquakes like the San Fernando earthquake (1971 USA), the Northridge earthquake (1994 USA), Great Hanshin earthquake (1995 Japan), and Chi-Chi earthquake (1999 Taiwan). These studies show that to do the seismic risk assessments for bridges, fragility curves are useful tools. There are the most used two ways to generate the fragility curves; empirically or analytically. If the damage reports from past earthquakes are available then empirical fragility curves may be developed but otherwise seismic response analysis of structures may be used to develop analytical fragility curves. In Turkey, earthquake damage data are very limited so to develop the fragility curves for the Alasehir bridge, the analytical method is used in this study. The bridge that is studied on is lying on the Manisa-Afyon railway line that is very important for both transportation and freightage. As the most of the country land covers the seismically active zones it is a necessity to find out the vulnerability of the Alasehir bridge. The Alasehir bridge is consists of six 30 m length truss system span with a total span length of 189.43 m supported by 2 abutments and 5 truss piers with height of 12.5 m, 19 m, 26 m, 33 m and 40 m. Sap2000 is used for computer model of the Alaşehir bridge and the model is refined by using field measurements. Then selected 60 different real earthquake data are used for the analysis by using the refined model. Both material nonlinearity and Δ-δ are considered during the analysis. With this study, seismic behavior of Alasehir steel railway bridge is determined. Truss piers reaction and displacements are used to determine the seismic performance of the Alasehir bridge. Different IMs are compared in terms of efficiency, practicality, and sufficiency. Component and system fragility curve are derived for most proper IMs.

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