BUILDING INFORMATION MODELING (BIM) FOR STRUCTURAL DESIGN AND CONSTRUCTION MANAGEMENT: A SYSTEMATIC REVIEW OF CURRENT PRACTICES AND EMERGING TRENDS

Abstract

Building Information Modeling (BIM) has emerged as a transformative technology in the architecture, engineering, and construction (AEC) industry, fundamentally reshaping how structural design and construction management processes are conducted. This systematic review examines current BIM practices and emerging trends in structural design and construction management, synthesizing findings from 45 peer-reviewed studies published between 2015 and 2025. The review identifies that BIM implementation extends from traditional 3D modeling to advanced multidimensional applications including 4D scheduling, 5D cost estimation, 6D sustainability analysis, and 7D facility management. Key findings demonstrate that BIM adoption reduces project time by 12-20%, decreases costs by 8-15%, and minimizes design errors by up to 25%. However, significant barriers persist, including interoperability challenges, high software costs, shortage of skilled professionals, and lack of standardized protocols. The integration of emerging technologies such as Internet of Things (IoT), artificial intelligence (AI), and digital twins presents promising opportunities for enhanced decision-making and predictive maintenance. This review recommends targeted interventions in workforce development, standardization efforts, and policy initiatives to accelerate BIM adoption across diverse construction contexts globally.