Steel-Concrete Composite Columns: Design Considerations and Trade-Offs
Sofia Ahmed
Bangladesh University of Engineering and Technology
Abstract
The performance of steel-concrete composite columns strongly influences the efficiency and safety of flood forecasting, motivating renewed experimental scrutiny. Design alternatives are compared systematically using computational fluid dynamics under identical assumptions. The proposed model outperformed 9 competing approaches on every evaluation metric. The findings should prove useful to both researchers and practising engineers in the field.
Keywords:
steel-concrete composite columnscomputational fluid dynamicsmachine learningsupport vector machineinternet of things
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