development of the gem vulnerability database

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Development of the GEM Vulnerability Database Catalina Yepes-Estrada, Vitor Silva, Helen Crowley GEM Foundation, Pavia, Italy

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Development of the GEM Vulnerability Database

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Page 1: Development of the GEM Vulnerability Database

Development of the GEM Vulnerability DatabaseCatalina Yepes-Estrada, Vitor Silva, Helen Crowley

GEM Foundation, Pavia, Italy

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Why do we need a vulnerability database?

• To take advantage of existing models

• To facilitate the modelling process

• To compare similar functions

• To develop new physical vulnerability models

• To share the results with the scientific/engineering community

Vulnerability Models forSeismic Risk Assessment and Loss

Estimation

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Fragility Functions

Set of curves that describe the probability of exceedance certain damage states given an intensity measure level.

Continuous Discrete

Intensity measure (IM)• PGA• PGV• PGD

• Sa(T)• Sd(T)• MMI

• IA• CAV• RSD

• Discrete 5% and 95% prediction interval• Continuous Coefficient of variation of the Mean

and the Standard deviation Correlation matrix

UncertaintyMethod of estimation• Analytical• Empirical• Expert Opinion

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Vulnerability Functions

Vulnerability functions represent the probabilistic distribution of loss ratio given a certain level of ground motion

• Discrete• Continuous

• Damage factor• Fatality rate per occupant• Nonfatal injury rate per occupant• Fatality rate per exposed population• Direct economic factor

Response variable

• Discrete Mean and Coefficient of variation Lognormal or Beta distributions

• Continuous Mean and Standard deviation + Coefficient of variation of the Mean and the Standard deviation

Uncertainty

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Damage-to-loss Functions

Damage-to-loss Functions represent the distribution of loss given a damage state.

They are used to transform fragility functions into

vulnerability functions

• Damage factor• Fatality rate per occupant• Nonfatal injury rate per

occupant• Fatality rate per exposed

population• Direct economic factor

Response variable

• Coefficient of variation• Lognormal or Beta distribution

shapes

Uncertainty

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Damage-to-loss Functions

+Fragility Damage-to-loss = Vulnerability

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Capacity Curves

Capacity curves characterise the structural behaviour in terms of physical damage

• Base shear• Base bending moment• Spectral acceleration

Response variable

• Interstorey drift• Global drift• Lateral roof displacement • Chord rotation• Curvature• Spectral displacement

Engineering demand parameter (EDP)

They are used to derive fragility functions using nonlinear static procedures

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Data inventory

More than 750 functions for 37 countries/regions

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Thank you!

Data inventory

More than 750 functions for 37 countries/regions

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Except where otherwise noted, this work is licensed under: creativecommons.org/licenses/by-nc-nd/4.0/

Please attribute to the GEM Foundation with a link to - www.globalearthquakemodel.org