A Framework for Digital Twin Applications in Linear Construction Projects | ||||
| Engineering Research Journal | ||||
| Volume 184, Issue 3, June 2025, Page 203-224 PDF (1.65 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erj.2025.356377.1192 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Abdelhamid Abdullah Abdelhamid  1; Khaled Nassar2; Alaa Mandour3
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| 1Helwan University - Faculty of Engineering Mataria - Department of Architectural Engineering - Egypt | ||||
| 2The American University in Cairo - Faculty of Engineering – Construction Department – Egypt | ||||
| 3Helwan University - Faculty of Engineering Mataria- Department of Architectural Engineering - Egypt | ||||
| Abstract | ||||
| The adoption of Digital Twin (DT) technology in linear construction projects remains limited due to interoperability challenges, lack of real-time simulation, and absence of standardized frameworks. This study proposes a DT-based framework that integrates Building Information Modeling (BIM), IoT sensors, and real-time analytics to enhance project monitoring, resource allocation, and procurement scheduling. By simulating construction workflows and providing real-time insights, the framework optimizes decision-making and improves project performance. The DT-driven approach enables dynamic scheduling, allowing real-time adjustments based on site conditions, resource availability, and material delivery timelines. It enhances risk identification and mitigation by predicting delays and resource bottlenecks, improving adherence to project timelines. Additionally, it streamlines sequential construction tasks such as trenching, installation, and backfilling, offering greater visibility and control throughout the project lifecycle. By leveraging real-time data and predictive analytics, the framework enhances operational resilience and transforms traditional linear construction practices. Through advanced simulation tools and real-time decision support, it provides practical insights for industry stakeholders, improving efficiency, risk management, and overall project outcomes. | ||||
| Keywords | ||||
| Digital Twin (DT); Construction Management; Building Information Modeling (BIM); Reality Capture | ||||
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