| Abstract: |
Building Information Modelling (BIM) has emerged as a transformative paradigm in the architecture, engineering, and construction (AEC) industry, fundamentally redefining how multi-story buildings are designed, analyzed, and managed throughout their lifecycle. This review and meta-analysis synthesizes existing literature on BIM-based frameworks developed specifically for multi-story building design and structural analysis, drawing on peer-reviewed studies published between 2010 and 2024. The paper critically evaluates methodological approaches, software platforms, interoperability standards, and performance outcomes reported across 30 primary studies. Findings indicate that BIM-integrated workflows significantly enhance coordination accuracy, reduce design conflicts by up to 40%, and improve structural analysis precision when coupled with tools such as Autodesk Revit, Tekla Structures, and finite element analysis (FEA) platforms. The review identifies persistent challenges including data fragmentation, IFC-based interoperability limitations, and the steep learning curve associated with BIM adoption in developing nations. A consolidated framework is proposed that integrates parametric modeling, clash detection, energy simulation, and structural load analysis within a unified BIM environment. The paper concludes that standardized BIM protocols, combined with machine learning augmentation and cloud-based collaboration, constitute the next frontier for multi-story building development. Future research should focus on real-time sensor integration and digital twin deployment for high-rise structural health monitoring. |
