Advanced Simulation and Sensor-Based Approaches for Evaluating Cyclone Readiness of Civil Structures

Cyclones pose significant threats to civil infrastructure, demanding advanced strategies for prediction, assessment, and resilience. This chapter explores cutting-edge simulation and sensor-based technologies that enhance the cyclone readiness of buildings and critical structures. Techniques such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), Structural Health Monitoring (SHM), and digital twin modelling provide deeper insights into structural behaviour under extreme winds. The integration of AI and machine learning further improves forecasting accuracy, damage detection, and real-time decision-making. Global case studies demonstrate successful applications in cyclone-prone regions. As climate change intensifies storm severity, adopting these innovative tools is essential for safeguarding communities, reducing economic losses, and supporting sustainable, resilient infrastructure development worldwide.