Integrating Risk Assessment Techniques into Building Information Modelling (BIM) Environment for Enhanced Risk Management in Bridge Construction
Dakel, Souad N.R.
Dakel, Souad N.R.
Publication Date
End of Embargo
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The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
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Accepted for publication
Institution
University of Bradford
Department
School of Built Environment, Architecture & Creative Industries. Faculty of Engineering and Digital Technologies
Awarded
2024
Embargo end date
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Additional title
The use of Instance Parameters to Integrate BIM with both Failure Mode and Effect Analysis (FMEA), and Analytic Hierarchy Process (AHP) tools for Bridge Projects using Dynamo Software
Abstract
The architecture, engineering, and construction (AEC) sectors recognise the risks in complex structures and new building methods, emphasising the need for effective risk management. Traditionally, managing these risks faces challenges in the real
world. Information and Communications Technology (ICT), particularly Building Information Modelling (BIM), is increasingly used to tackle these challenges. BIM enables creating and sharing, of digital building models. However, integrating BIM into
risk management remains challenging. This research introduces a new systematic methodology by combining BIM with risk assessment tools for bridge construction. The methodology involves four steps: First, risks are organised using a Risk Breakdown Structure (RBS) and evaluated using Failure Modes and Effects Analysis (FMEA) and the Analytical Hierarchy Process (AHP). Next, BIM information is categorised using instance parameters. Third, risks are embedded into BIM via Dynamo. Finally, a 4D model links construction activities to a 3D model, color-coded by risk levels. The findings indicate that integrating traditional methods with BIM creates a comprehensive risk management solution by linking external databases to BIM. This approach leverages traditional methods for structured data storage and BIM's capabilities like 3D visualisation and 4D to enhance early risk identification and assessment. The study introduces a novel approach to improving bridge construction management during the design and construction phases. It involves risk categorization via RBS, quantitative assessment using FMEA and AHP, overcoming Industry Foundation Classes (IFC) limitations with instance parameters, employing specific Dynamo codes, material-based simulations, and practical implementation at Libya's Jofra Bridge. This significantly advances BIM-based risk management.
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Type
Thesis
Qualification name
PhD