Research on the Control of Construction Period Risks by BIM Modeling Optimization in the Pre-construction Stage of Industrial Factory Buildings
Abstract
This research focuses on using BIM modeling optimization to control construction - period risks in the pre-construction stage of industrial factory buildings. It analyzes common risk factors and limitations of traditional approaches. BIM-based methods like collision detection, 4D simulation, multi-dimensional data integration, etc., can effectively mitigate risks. Stakeholder collaboration, digital twin testing, and lean BIM integration is also crucial. Case studies show BIM can reduce risks by 32–41%, with a three phase roadmap provided.
References
Liu Y, Wang J, Guo J, et al., 2022, BIM-Based Risk Management for Prefabricated Building Projects in China. Automation in Construction, 141: 104404.
Zhou Y, Xia X, Li X, et al., 2021, BIM and 4D Simulation in Mega Industrial Projects: A Case Study of Schedule Risk Mitigation. Advanced Engineering Informatics, 50: 101391.
Xu J, Shi Y, Luo H, et al., 2023, Integrated BIM-Digital Twin Framework for Automated Clash Detection in MEP Systems. Journal of Building Engineering, 65: 105765.
Wang L, Chong H, Lee C, 2022, Value-Driven Lean-BIM Synchronization in Industrial Construction Planning. Engineering, Construction and Architectural Management, 29(9): 3421–3440.
Zou Y, Kiviniemi A, Laird S, 2019, Developing a BIM-Enabled Risk Management System for Design Validation. Safety Science, 120: 456–473.
Chen K, Chen P, Li C, et al., 2021, IoT-Enhanced BIM Platform for Collaborative Risk Assessment in Industrial Plants. Advanced Engineering Informatics, 50: 101413.
Zhao X, Wang Y, Jiang T, 2020, Cloud-Based BIM Collaboration for Automated Change Order Management. Automation in Construction, 119: 103343.
Liu Z, Lu Y, Jin R, et al., 2021, Monte Carlo Simulation Integrated BIM Schedule Risk Analysis for Prefabricated Construction. Journal of Civil Engineering and Management, 27(8): 603–618.
Li H, Chan N, Skitmore M, 2022, BIM-Enabled Digital Twin Applications in Mega Industrial Projects. Journal of Industrial Information Integration, 28: 100358.
Zhang S, Teizer J, Pradhananga N, 2022, Real-Time Construction Risk Monitoring Using BIM and IoT Integration. Automation in Construction, 134: 104064.
Abdelmegid M, González V, Oseghale B, 2020, Quantitative Risk Analysis in BIM Through Schedule-Dependent Cost Integration. Engineering, Construction and Architectural Management, 27(10): 2923–2948.
Wang C, Cho Y, Kim T, 2021, Automated Construction Progress Monitoring Using BIM and Deep Learning-Based Image Recognition. Advanced Engineering Informatics, 50: 101401.
Hu Z, Tian P, Li D, 2019, BIM-Based Multi-Party Collaboration Framework for Industrial Construction Projects. Journal of Construction Engineering and Management, 145(12): 040190.
