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Indeterminate structures refer to structures where internal forces and reactions cannot be determined using only the equations of static equilibrium. Indeterminate structures have more unknown forces and reaction forces than equations of static equilibrium that can be used to determine them. Indeterminate structures are often used in engineering to create complex, efficient, and aesthetically pleasing structures. There are various types of indeterminate structures used in engineering and...

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Updated: Jun 29, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

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

Ibrahim F Varouqa¹, Moawiah A Alnsour¹

¹Department of Civil Engineering, Isra University, Faculty of Engineering, Amman, Jordan.

|April 5, 2024

Summary

This study introduces a framework for implementing Building Information Modelling (BIM) in Structural Engineering Firms (SEFs). It uses a novel optimization technique to assess readiness and guide BIM adoption for improved efficiency.

Keywords:

BIM BIM adoption Buffalo Building Information Modelling Method Firms Planning Resources SEF Vulture

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Published on: January 6, 2023

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.