Abstract
ABSTRACT This paper investigates the prominent failure modes of educational facilities by using field observations. Specifically, damage to the roof covering, roof structure and exterior windows were quantified. An archetype of these structures is modeled in a Monte Carlo Simulation wherein the probabilistic resistance capacities of the building envelope components are compared to their corresponding probabilistic wind loads. The probability of exceedance is then evaluated at three levels of damage state per 3-s gust wind speeds. For the vulnerability curve, the results were fitted into a cumulative probability density function with a mean of 4.7314 and a standard deviation of 0.4061. The results of the model are then evaluated through a case study of Typhoon Nina 2016. The model generally underpredicts the mean damage ratio per municipality by about 13.17% for wind speeds of 40.225 m/s and by about 3–6% for wind speeds between 49 m/s to 71 m/s. The reported damage by the respective government authorities was aggregated on a municipality level and compared to the performance of the model. A statistical analysis between the reported and mean predicted damage was also done by using the Spearman rank correlation coefficient. The results yielded a positive correlation of 0.856.
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