Structural Analysis of Construction Risk Management Assessment Model Based on Digital Twins
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Abstract
Construction risk categories are complex and the most current assessment platforms tend to place focus on theoretical assessments. There is an urgent need to simulate construction risks to manage projects effectively. As such, this article proposes a digital twin construction risk assessment model (DTCRAM) based on Delphi and a case study for predicting and controlling construction risk to reduce project loss. The model has been proven to detect risks quickly and match strategies efficiently. The outcomes revealed that DTCRAM displayed better results (key risks) in predicting and controlling construction management (more than 1% probability reduction/project) while simultaneously improving management efficiency (screen out risk factors). As a result, scholars and companies can gain risk management experience by using this tool in advance.
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