A method of building information modelling implementation for structural engineering firms.

Area of Science:

• Construction Management
• Information Technology in Engineering
• Structural Engineering

Background:

• Building Information Modelling (BIM) offers significant competitive advantages to Structural Engineering Firms (SEFs).
• However, the full potential of BIM remains underexploited due to implementation challenges and a lack of in-depth research on its integration.
• The complexity of the planning phase is a major hurdle for BIM adoption in SEFs.

Purpose of the Study:

• To propose a comprehensive framework for BIM deployment within SEFs.
• To address the complexities associated with the planning and execution phases of BIM implementation.
• To provide a structured approach for SEFs to assess and integrate BIM.

Main Methods:

• Development of a novel hybrid African Buffalo and African Vulture Optimization (AB-AVO) algorithm.
• Utilizing the AB-AVO technique to assess the technological readiness and resource availability within SEFs.
• Framework designed to identify firm expectations, required resources, and technical/clinical suggestions for BIM execution.

Main Results:

• The proposed framework effectively recognizes firm expectations and resources for BIM implementation.
• It outlines the necessary requirements for developing and implementing BIM strategies.
• The methodology offers practical guidance for monitoring and planning BIM execution, categorized by resource utilization, versatility, and adaptability.

Conclusions:

• The study presents a new methodology for BIM adoption in SEFs.
• The framework facilitates a clear and effective recognition of firm needs and resources.
• It establishes essential guidelines for structural firms to successfully adopt and manage BIM processes.