|dc.description.abstract||Hurricanes have caused bllions of dollars of damage and claimed many lives over the years. Hurricanes not only devastate the people and buildings directly in the path of their fury, but they affect all of society. After a hurricane makes landfall (especially in a populated area) all of society bears the burden of the economic recovery. Such an event can be quite taxing. For this reason it is especially critical that hurricanes be studied in order to more fully understand them. With an increased understanding of hurricanes the public can be better prepared for and mitigate such disasters.
Hurricanes are major events, but since they happen relatively infrequently at any one location, meaningful statistics cannot be compiled at a single site from the historical records. Thus, an indirect method of obtaining useful hurricane wind statistics is needed. One such method investigated in this thesis is known as a Monte Carlo simulation.
A Monte Carlo simulation is a procedure whereby many idealized tropical storms and hurricanes are generated using a computer simulation. In this procedure, relevant meteorological parameters such as the radius of maximum winds, the central pressure, and the speed and direction of the hurricanes motion are randomly selected from probability density functions developed from historic data. The information selected is then used to initialize the wind field model. The hurricane is then propagated, and the maximum wind speed and wind direction at the site of interest is captured. This process of initialization of the hurricane wind field, propagation of the hurricane, and capturing of the maximum wind speed and direction at the site is performed repeatedly. Assuming the hurricane wind model and the hurricane parameter statistics are reasonable for the site in question, statistically significant wind statistics result. The resulting database of wind speeds and directions can be used by engineers to establish load factors for the design of structures.
This thesis takes a closer look at the Monte Carlo simulation method for a number of sites along the United States Gulf and Atlantic Coast. The resulting wind statistics are then presented and a number of interpretations, conclusions, and possible suggestions are discussed.||