Coastal regions have become focal points of rapid urbanization and strategic infrastructure expansion, characterized by clusters of high rise buildings, long span sea crossing bridges, and offshore energy installations. These assets are increasingly exposed to compound environmental hazards intensified by climate change, including extreme wind, storm surge, wave action, local scour, and seismic events. While prior research has addressed wind effects on coastal high rise buildings, aerodynamic responses of long span bridges, multihazard structural vulnerability, and localized foundation degradation mechanisms, an integrative framework that synthesizes these domains remains underdeveloped. This study develops a comprehensive, text based analytical framework to evaluate multihazard risk for coastal high rise and sea crossing infrastructure by synthesizing aerodynamic modeling, computational fluid dynamics, geospatial automation, dynamic response analysis, and damage diagnostics informed by machine learning. The investigation draws conceptually on prior empirical and modeling work related to building wind amplification in coastal zones, collapse vulnerability determination through integrated geospatial modeling, skyscraper wind patterns during typhoon events, multihazard risk assessment with recorded data, CFD evaluation of hurricane wind loads, structural topology optimization under combined wind and gravity loads, aerodynamic studies of long span bridges, directional wind and wave interaction effects, local scour protection mechanisms, flow induced vibration analysis, wave load time history modeling, offshore pile cap construction technology, and automated damage diagnosis through multi sensor fusion.

The methodological core of the present research is a layered risk modeling strategy. First, regional hazard characterization is conceptualized through historical wind, typhoon, and wave data patterns. Second, structural demand modeling integrates aerodynamic amplification effects observed in dense high rise clusters and directional wind wave coupling in bridge systems. Third, foundation vulnerability is interpreted through local scour and offshore pile cap construction considerations. Fourth, structural performance and damage progression are evaluated using recorded multihazard data paradigms and machine learning assisted diagnostic concepts. Fifth, exposure and functionality dimensions are considered, including traffic corridor resilience informed by toll based demand variation studies in bridge corridors. Through detailed interpretive analysis, the study demonstrates that compound hazards produce nonlinear amplification of structural demand, especially where aerodynamic channeling, wave directionality, and scour mechanisms interact.

Results indicate that wind intensification around high rise clusters can significantly modify pressure distributions and vortex shedding characteristics, increasing dynamic response variability. When correlated wind and wave forces act on sea crossing bridges, directional alignment produces peak displacement and stress states exceeding independent hazard assumptions. Scour processes undermine foundation stiffness, altering modal properties and elevating susceptibility to flow induced vibration. Integrating multi sensor diagnostic algorithms enhances early detection of damage evolution in concrete components, allowing adaptive management. The study concludes that coastal infrastructure resilience requires simultaneous aerodynamic, hydrodynamic, geotechnical, and structural health integration within a climate adaptive planning paradigm. Limitations relate to reliance on synthesized modeling insights rather than site specific simulation outputs; nevertheless, the framework provides a rigorous conceptual model for future quantitative implementation.