A Study on the Protection of Basic Buildings of Chinese Township Schools Through Wind-Field CFD Migration Algorithm

This study investigates strategies to optimize wind environments around rural school buildings in China through computational fluid dynamics (CFD), using a school complex in Xingren City, Guizhou Province, as a case study. A CFD-based transfer algorithm was applied to simulate and analyze wind patterns, aiming to establish a framework for assessing and enhancing aerodynamic performance to safeguard structural integrity. The methodology encompassed meteorological data collection, geometric model simplification, fluid domain parameterization, high-resolution meshing, turbulence model selection, and boundary condition configuration. Comparative analysis of pre- and post- retrofit scenarios demonstrated the algorithm’s efficacy in accurately mapping wind fields, enabling data-driven retrofitting strategies such as vegetation buffers and façade modifications. These interventions not only enhanced occupant comfort and safety by mitigating wind-induced stress, but also advanced sustainable preservation practices for rural educational infrastructure. By integrating site-specific environmental data with aerodynamic simulations, this work bridges theoretical innovation and practical applications, offering scalable solutions for climate-resilient architectural design in resource-constrained regions.