Structural Analysis And Design Workflow For Residential High- Rises Using BIM Technology

Abstract

Building Information Modeling (BIM) has revolutionized the architecture, engineering, and construction (AEC)
industry by providing integrated digital tools for structural planning, analysis, design, and cost estimation. This
research investigates the effectiveness of BIM tools in optimizing the structural planning and cost estimation of a
12-story residential building project in an urban environment. The study employed a mixed-methods approach,
combining quantitative data from BIM simulations with qualitative insights from industry professionals. Five BIM
software platforms were comparatively evaluated across key performance indicators, including design accuracy,
clash detection efficiency, structural analysis precision, and cost estimation reliability. Results indicate that BIM
implementation reduced design errors by 43%, shortened the design timeline by 37%, improved structural
analysis accuracy by 28%, and enhanced cost estimation precision by 22% compared to traditional methods.
Significant correlations were found between early BIM adoption and reduced rework costs (r=0.76, p<0.01).
Furthermore, the integration of parametric modeling with structural analysis facilitated real-time design
optimization, reducing steel requirements by 18% while maintaining structural integrity. This research
demonstrates that comprehensive BIM implementation throughout the project lifecycle yields substantial
efficiency gains and cost savings in multi-story residential construction projects