Enhancing Construction Efficiency of Educational Building Through BIM Based Clash Detection
DOI:
https://doi.org/10.61779/jasetm.v4i1.5Keywords:
BIM, Clash Detection, Navisworks, Revit, CoordinationAbstract
The construction of educational facilities involves complex interactions between architectural, structural, and MEP systems, often resulting in design conflicts when conventional practices are followed. Building Information Modelling (BIM) provides an integrated digital framework that enhances coordination and enables early detection of such conflicts. This study investigates the application of BIM-based clash detection to improve the efficiency and reliability of construction processes in educational buildings. A comprehensive BIM model is developed using Autodesk Revit, incorporating architectural, structural, and MEP components. The discipline-specific models are federated within Navisworks Manage to perform systematic clash detection. Identified conflicts are categorized into hard clashes, soft (clearance) clashes, and workflow clashes. The detected issues are analyzed, and appropriate design modifications are implemented to achieve coordination among all systems. The implementation of BIM-based clash detection significantly reduces design inconsistencies, minimizes rework, and enhances interdisciplinary coordination. The findings demonstrate improved constructability, optimized project scheduling, and better resource utilization. This study establishes BIM as an effective tool for proactive conflict resolution, contributing to improved project performance and quality in the construction of educational infrastructure.
References
A. A. Firoozi et al., “Innovations in Energy-Efficient Construction: Pioneering Sustainable Building Practices,” Cleaner Engineering and Technology, 2025.
S. A. Khan et al., “Evaluating Sustainable Building Strategies: Life Cycle Comparison of Demountable and Conventional Structures,” Cleaner Environmental Systems, 2025.
C. Bouillon et al., “Multi-LOD Generative Approach for Multi-Objective Sustainability Optimization,” Automation in Construction, 2025.
A. M. Khan et al., “Optimizing Sustainable Alternatives in Value Engineering Decision-Making through BIM-Integrated Plugin Automation,” Ain Shams Engineering Journal, 2025.
B. Manzoor et al., “Green Buildings and Digital Technologies: A Pathway to Sustainable Development,” Green Technologies and Sustainability, 2025.
H. Li et al., “Tracking the Built Status of MEP Works Using the Value of a Scan-vs-BIM System,” 2025.
W. Wang and Y. Fang, “Automatic BIM Reconstruction for Existing Building MEP Systems from Drawing Recognition,” Buildings, MDPI, 2025.
S. Zeng et al., “Research on Human–Machine Collaborative Innovation in Design Education Inspired by GANs,” Design and Artificial Intelligence, 2025.
M. S. Lystbæk, “Machine Learning-Driven Processes in Architectural Building Design,” Automation in Construction, 2025.
H. Zhang and R. Zhang, “Generative Artificial Intelligence in Built Environment Design and Planning: A State-of-the-Art Review,” Progress in Engineering Science, 2025.
J. Jadhav et al., “Integrating Knowledge of Project-Based Education with BIM,” 2025.
R. Chahrour et al., “Cost Savings through BIM-Based Clash Detection and Resolution in Construction Projects,” 2024.
A. Shehadeh et al., “Enhanced Clash Detection in BIM Using Modified Extreme Gradient Boosting (MXGBoost),” Results in Engineering, Elsevier, 2024.
I. Bitaraf et al., “Prioritization Framework for Clash Detection Using Best–Worst Method,” 2024.
S. D. Datta et al., “Artificial Intelligence and Machine Learning Applications in the Project Lifecycle of the Construction Industry,” Heliyon, 2024.
M. S. Lystbæk et al., “BIM and Machine Learning Integration in Design Coordination,” 2024.
P. Schönfelder et al., “Enriching BIM Models with Fire Safety Equipment Using Deep Learning,” Automation in Construction, Elsevier, 2024.
Pestana et al., “A BIM-Based Framework for Quantifying Energy and Efficiency in Building Life Cycle Assessments,” 2023.
D. M. Savitri, Juliastuti, and Pramudya, “Clash Detection Analysis with BIM-Based Software on Mid-Rise Building Construction Projects,” IOP Conf. Series: Earth and Environmental Science, 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Laksmi P.S., Mohammed Rizwan, Mehreen Rafeeq, Nirmal Thomas, Asha Joseph

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after the acceptance, with an acknowledgement of its initial publication in this journal, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
