TY - JOUR
AU - Apichat Janpila,
AU - Piyawat Foytong,
AU - Supakorn Tirapat,
AU - Nuttawut Thanasisathit,
AU - Anat Ruangrassamee,
PY - 2020/05/30
Y2 - 2024/10/13
TI - THE OPTIMAL METHOD FOR BUILDING DAMAGE FRAGILITY CURVE DEVELOPMENT
JF - GEOMATE Journal
JA - INTERNATIONAL JOURNAL OF GEOMATE
VL - 18
IS - 69
SE - Articles
DO -
UR - https://geomatejournal.com/geomate/article/view/1488
SP - 74-80
AB - <p>A fragility curve is a primary component in the risk assessment, which is useful for evacuation<br>planning, estimation of potential losses, and estimation of the damage to residential buildings caused by<br>natural hazards. In general, a fragility curve represents the relationship between the probability of exceeding<br>a specific damage state of a structure and natural hazard intensity. For determining such a curve, two<br>parameters: the median and standard deviation are estimated. A fragility curve can be constructed using<br>empirical data and analytical data. Numerical fitting data is used to develop the fragility curve. Various<br>methods have been proposed using numerical fitting data to approximate the fragility curves. However, the<br>most widely used methods for developing fragility curves are the least-squares method and the maximum<br>likelihood method. In this present study, these two different numerical fitting data methods for fragility curve<br>development are analyzed and compared. Basic assumptions and limitations of each method are also<br>discussed. The building damage data used in all methods to derive the fragility curve is generated from<br>hypothetical damage data assuming a lognormal distribution. Finally, the maximum likelihood method is<br>proven to be optimal for developing fragility curve based on structural damage data.<br><br></p>
ER -