A Probabilistic Displacement-based Vulnerability Assessment Procedure for Earthquake Loss Estimation (original) (raw)

2004, Bulletin of Earthquake Engineering

Earthquake loss estimation studies require predictions to be made of the proportion of a building class falling within discrete damage bands from a specified earthquake demand. These predictions should be made using methods that incorporate both computational efficiency and accuracy such that studies on regional or national levels can be effectively carried out, even when the triggering of multiple earthquake scenarios, as opposed to the use of probabilistic hazard maps and uniform hazard spectra, is employed to realistically assess seismic demand and its consequences on the built environment. Earthquake actions should be represented by a parameter that shows good correlation to damage and that accounts for the relationship between the frequency content of the ground motion and the fundamental period of the building; hence recent proposals to use displacement response spectra. A rational method is proposed herein that defines the capacity of a building class by relating its deformation potential to its fundamental period of vibration at different limit states and comparing this with a displacement response spectrum. The uncertainty in the geometrical, material and limit state properties of a building class is considered and the first-order reliability method, FORM, is used to produce an approximate joint probability density function (JPDF) of displacement capacity and period. The JPDF of capacity may be used in conjunction with the lognormal cumulative distribution function of demand in the classical reliability formula to calculate the probability of failing a given limit state. Vulnerability curves may be produced which, although not directly used in the methodology, serve to illustrate the conceptual soundness of the method and make comparisons with other methods.

Sensitivity of Annualized Earthquake Loss Estimations to the Computation of Inelastic Displacement Demand

2018

Probabilistic earthquake loss assessment for a building stock can be achieved through spectral accelerationdisplacement based damage estimation methodology. For this purpose, building capacity spectra and fragility functions in terms spectral displacements need to be defined for each building class identified in the inventory in one hand, earthquake demand spectra in acceleration-displacement response spectrum format at exposure locations should be constructed on the other hand. Then inelastic displacement demands are computed and fragility curves are used to obtain likelihoods of reaching various states of damage. Direct monetary losses can be estimated based on the number of damaged buildings. If this procedure is adequately repeated for increasing levels of seismic hazard a probabilistic loss curve, i.e. mean annual frequency of exceedance vs. monetary loss or loss ratio, can be drawn. Annualized earthquake loss (AEL) and loss ratio (AELR) are computed as the area under the loss ...

Controlling Parameters in the Assessment of the Seismic Vulnerability of Buildings

2016

The probabilistic seismic risk assessment in terms of economic losses for building portfolios requires the seismic hazard assessment, the definition and characterization of the building portfolio and the estimation of the expected economic losses of specific building typologies for increasing seismic intensities. The probability distribution function of economic losses for different seismic intensities can be estimated by integration of individual building component ́s repair costs. By means of Monte Carlo simulations, all relevant variables that influences the final repair cost can be introduced into the analysis. The results of the analysis are integrated and represented through specific vulnerability functions for each building typology, which relates the expected economic losses and its corresponding uncertainty measure with the seismic intensity level. The integration of losses considers the uncertainties associated with the hazard assessment, the dynamic response of the model,...

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.