![]() In this case, the Monte Carlo model was based on many randomly generated samples of possible future typhoons in the Pacific Ocean – with myriad combinations of wind intensity and directionality. Monte Carlo simulations are probability-based mathematical models that forecast future events. ![]() We gathered historical wind speed records from a local weather station, and in combination with a “Monte Carlo” simulation of future storms generated by Applied Research Associates, created a statistical model of the wind climate. To help the ICC’s designers develop an optimal design for the structure and building envelope, we needed to help them account for the full range of extreme windstorms the ICC would need to withstand, so we developed a statistical model of Hong Kong wind conditions. These extreme wind events are variable by nature: their timing, direction, and intensity can all vary substantially. Typhoons dominate Hong Kong’s wind climate. ![]() To ensure the reliability of the design information derived from the wind tunnel testing, we needed to ensure that we accurately modeled two key aspects of the ICC’s environment: typhoons and topography. This information enables design teams to achieve the right balance between the structures’ safety and comfort on one hand, and the economical use of materials on the other. It was clear from the outset that the project called for boundary layer wind tunnel testing, which provides engineers with accurate information about their buildings’ performance in high winds.
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