Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singha, Ranjit; Singha, Surjit; Jose, Shruti; Muthu Ruben, V.; Haokip, Alphonsa Diana Title A name given to the resource Advanced Simulation and Sensor-Based Approaches for Evaluating Cyclone Readiness of Civil Structures Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Predicting, Preventing, and Mitigating Natural Disasters through Advanced Technologies;pp.139-174 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-6415-ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-6415-ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032359864?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032359864?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singha R., Christ University, India; Singha S., Kristu Jayanti University, India; Jose S., Christ University, India; Muthu Ruben V., Christ University, India; Haokip A.D., Don Bosco College, Maram, India Description An account of the resource 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. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833736417-9; 979-833736415-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online