Description:The invention at hand revolutionizes the assessment of wind loads on tall buildings in cyclone-prone regions through a pioneering methodology. By seamlessly integrating historical cyclone data, advanced Geographic Information System (GIS) technology, and sophisticated wind field modeling, this innovation addresses the deficiencies of conventional wind load assessments and enhances structural resilience.
Historical cyclone tracks spanning a century are meticulously compiled from esteemed sources such as the Indian Meteorological Department (IMD) and the Japan Typhoon Warning Center (JTWC), forming the bedrock of this analysis. This dataset is critical in understanding the intricate wind dynamics associated with cyclones and typhoons.
The geographical area of interest is divided into a grid system, wherein each central point is designated as a site for wind load assessment. This spatial subdivision enables a localized evaluation of wind dynamics, facilitating a nuanced understanding of wind forces across the region.
Central to the methodology is the concept of the "Circle of Influence." For each site, a circular area is established, encapsulating the historical cyclone tracks that hold relevance for that specific location. This focused approach ensures that wind load calculations are rooted in the most pertinent historical data.
Cyclonic wind speeds impacting a site are estimated through a meticulous process. Historical track data is merged with a standard wind field model, considering crucial variables such as cyclone intensity, path, and characteristics. This combination produces precise wind speed projections, reflecting the impact of cyclones on the designated site.
To enhance the accuracy of wind load estimations, the estimated cyclonic wind speeds undergo a comprehensive statistical distribution analysis. This step provides insights into the likelihood of various wind speed scenarios occurring during cyclonic events, offering a probabilistic perspective.
Recognizing the cyclic nature of cyclone occurrences as a Poisson process, the invention generates cyclone hazard curves. These curves graphically depict the annual probability of exceeding specific cyclonic wind speeds at the site. This tool quantifies the risk associated with different wind speed thresholds, aiding in informed decision-making.
The innovation's pinnacle is the creation of cyclonic zonation maps. Drawing hazard curves for different sites across the region, each representing different return periods of cyclonic wind speeds, these maps offer a visual representation of the localized wind load scenarios. This visualization empowers architects, engineers, and urban planners to tailor their designs to the specific wind load challenges of each area.
In conclusion, the inventive methodology redefines wind load assessment in cyclone-prone regions by seamlessly merging historical data, advanced technology, and sophisticated modeling. This approach elevates structural resilience and safety, enabling the creation of buildings that can withstand the forces of cyclonic events. The innovation represents a significant advancement in the field, bridging the gap between conventional methodologies and the dynamic challenges posed by cyclones, and contributing to the creation of safer, more adaptive urban environments
, Claims:Claim 1: Method for Assessing Cyclonic Wind Loads on Tall Buildings

A method for assessing cyclonic wind loads on tall buildings in cyclone-prone regions, comprising the following steps:

• Compiling historical cyclone tracks spanning a predetermined time period from reputable meteorological sources.
• Dividing the geographical area of interest into a grid system, designating central points as assessment sites.
• Establishing an influence circle around each site, encapsulating historical cyclone tracks relevant to said site.
• Estimating cyclonic wind speeds at each site by integrating historical track data with a standard wind field model.
• Subjecting estimated wind speeds to statistical distribution analysis, providing insights into wind speed probabilities.

Claim 2: Cyclonic zonation Map Creation

The method of Claim 1, additionally encompassing the creation of cyclonic zonation maps. This involves drawing hazard curves for different sites across the region, where each curve represents varying return periods of cyclonic wind speeds. These maps provide a comprehensive visualization of wind load probabilities tailored to specific area