An Efficient Novel Model for Multi-Story Building Construction Quantity Estimation using Coupled MATLAB-Revit Software

Authors

  • Suha Falih Mahdi Alazawy Department of Highway and Airport Engineering, College of Engineering, University of Diyala, Ba'aqubah, Diyala, Iraq
  • Saja Hadi Raheem Aldhamad Department of Civil Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq
  • Bilal Muiassar M. Salih Department of Civil Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq
  • Faiq Mohammed Sarhan Al Zwainy Forensic DNA Center for Research and Training, Al-Nahrain University, Jadriya, Baghdad, Iraq
Volume: 14 | Issue: 6 | Pages: 17717-17724 | December 2024 | https://doi.org/10.48084/etasr.8802

Abstract

The nature of the construction business and building projects necessitates the capacity to manage extensive and intricate data and documentation. The processes for documenting, exchanging, and updating data constitute one of the principal administrative challenges being currently confronted by the construction project management. As a consequence of the continued reliance on paper-based processes evidenced in the Iraqi businesses and construction projects, a considerable volume of documentation is likely to accumulate, thereby increasing the complexity and time required for specific data to be retrieved. In this study, the Support Vector Machine (SVM) and Building Information Modeling (BIM) models were used to document projects by employing the MATLAB-Revit software. The findings demonstrate that the project timeline is also recorded because it is related to the suggested model, which is designed to produce an effective model that mimics reality. A comparative analysis of the data pertaining to the foundations, columns, walls (24 cm and 12 cm), floors, and slabs of four multi-story buildings, was conducted. This analysis was divided into three categories: estimated, SVM-BIM, and actual documentation. The findings indicated that the proposed model demonstrated a high degree of accuracy in predicting the material quantities required in building construction. These values were found to be in close proximity to, and aligned with, the actual documentation.

Keywords:

multi-story building, cost estimation, support vector machines, building information modeling, coupled MATLAB-revit

Downloads

Download data is not yet available.

References

M.-Y. Cheng, H.-C. Tsai, and E. Sudjono, "Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry," Expert Systems with Applications, vol. 37, no. 6, pp. 4224–4231, Jun. 2010.

S. H. N. Alani and A. H. Mahmoud, "Factors Affecting the Cost Management of Iraqi Construction Firms," Engineering, Technology & Applied Science Research, vol. 13, no. 6, pp. 12001–12005, Dec. 2023.

V. B. Chandanshive and A. R. Kambekar, "Prediction of Building Construction Project Cost Using Support Vector Machine," Industrial Engineering and Strategic Management, vol. 1, no. 1, pp. 31–42, Dec. 2021.

C.-C. Chang and C.-J. Lin, "Training v-Support Vector Classifiers: Theory and Algorithms," Neural Computation, vol. 13, no. 9, pp. 2119–2147, Sep. 2001.

S.-L. Chan and N.-N. Leung, "Prototype Web-Based Construction Project Management System," Journal of Construction Engineering and Management, vol. 130, no. 6, pp. 935–943, Dec. 2004.

H. R. Abed, W. A. Hatem, and N. A. Jasim, "Role of BIM technology in enhancing safety analysis of Iraqi oil projects," Asian Journal of Civil Engineering, vol. 21, no. 4, pp. 695–706, Jun. 2020.

N. I. Sapankevych and R. Sankar, "Time Series Prediction Using Support Vector Machines: A Survey," IEEE Computational Intelligence Magazine, vol. 4, no. 2, pp. 24–38, May 2009.

C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121–167, Jun. 1998.

V. N. Vapnik, The Nature of Statistical Learning Theory. New York, NY, USA: Springer, 2000

K.-Y. Chen and C.-H. Wang, "Support vector regression with genetic algorithms in forecasting tourism demand," Tourism Management, vol. 28, no. 1, pp. 215–226, Feb. 2007.

D. R. Salgado and F. J. Alonso, "An approach based on current and sound signals for in-process tool wear monitoring," International Journal of Machine Tools and Manufacture, vol. 47, no. 14, pp. 2140–2152, Nov. 2007.

K. Duan, S. S. Keerthi, and A. N. Poo, "Evaluation of simple performance measures for tuning SVM hyperparameters," Neurocomputing, vol. 51, pp. 41–59, Apr. 2003.

R. Alsultani, I. Karim, and S. Khassaf, "Nonlinear Dynamic Response Analysis of Coastal Pile Foundation Bridge Pier Subjected to Current, Wave and Earthquake Actions: As a model of civilian live," Res Militaris, vol. 12, no. 2, pp. 6133–6148, Dec. 2022.

S. Naımı and M. O. M. A. Hanoun, "Comparison of Equivalent Static Analysis and Mode Combination Method for Concrete Buildings According to Turkish Standard," International Journal of Electronics Mechanical and Mechatronics Engineering, vol. 8, no. 4, pp. 1609–1616, Oct. 2018.

F. Magrassi, A. Del Borghi, M. Gallo, C. Strazza, and M. Robba, "Optimal Planning of Sustainable Buildings: Integration of Life Cycle Assessment and Optimization in a Decision Support System (DSS)," Energies, vol. 9, no. 7, Jul. 2016, Art. no. 490.

C. K. Anand and B. Amor, "Recent developments, future challenges and new research directions in LCA of buildings: A critical review," Renewable and Sustainable Energy Reviews, vol. 67, pp. 408–416, Jan. 2017.

A. Haruna, N. Shafiq, and O. A. Montasir, "Building information modelling application for developing sustainable building (Multi criteria decision making approach)," Ain Shams Engineering Journal, vol. 12, no. 1, pp. 293–302, Mar. 2021.

R. M. ElBatran and W. S. E. Ismaeel, "Applying a parametric design approach for optimizing daylighting and visual comfort in office buildings," Ain Shams Engineering Journal, vol. 12, no. 3, pp. 3275–3284, Sep. 2021.

Y. H. Lee, L. S. Thien, Y. Y. Lee, S. Y. Wong, C. S. Tan, and C. S. Chai, "Transformation from 2D structural drawing to building information model: Perspectives from a small-scaled company," Materials Science and Engineering, vol. 943, no. 1, Oct. 2020, Art. no. 012063.

I. A. Bhatti, A. H. Abdullah, S. Nagapan, N. B. Bhatti, S. Sohu, and A. A. Jhatial, "Implementation of Building Information Modeling (BIM) in Pakistan Construction Industry," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3199–3202, Aug. 2018.

M. Mert, "Building information modeling (BIM) approach for construction management and interoperability analysis," M.S. thesis, Polytechnic of Milan, Italy, 2020.

D. M. A. Morsi, W. S. E. Ismaeel, A. Ehab, and A. A. E. Othman, "BIM-based life cycle assessment for different structural system scenarios of a residential building," Ain Shams Engineering Journal, vol. 13, no. 6, Nov. 2022, Art. no. 101802.

H. V. Tirunagari and V. Kone, "Simulation of Construction Sequence using BIM 4d Techniques," International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 6C2, pp. 877–881, Apr. 2019.

J. Xu, "Research on Application of BIM 5D Technology in Central Grand Project," Procedia Engineering, vol. 174, pp. 600–610, Jan. 2017.

V. Konyushkov, S. Sotnikov, V. Veretennikov, and I. Ershov, "Application of 4D BIM modelling in planning and construction of zero cycle works," E3S Web of Conferences, vol. 164, Jan. 2020, Art. no. 08024.

B. Succar, "Building information modelling framework: A research and delivery foundation for industry stakeholders," Automation in Construction, vol. 18, no. 3, pp. 357–375, May 2009.

M. Laakso, "The IFC Standard - A Review of History, Development, and Standardization," Journal of Information Technology in Construction, vol. 17, pp. 134–161, May 2012.

E. Krygiel and B. Nies, Green BIM: Successful Sustainable Design With Building Information Modeling by Eddy Krygiel and Bradley Nies, 1st ed. Alameda, CA, USA: SYBEX Inc., 2008.

A. H. Oti, W. Tizani, F. H. Abanda, A. Jaly-Zada, and J. H. M. Tah, "Structural sustainability appraisal in BIM," Automation in Construction, vol. 69, pp. 44–58, Sep. 2016.

T. A. Nguyen, T. A. Nguyen, and T. V. Tran, "Building Information Modeling (BIM) for Construction Project Schedule Management: A Review," Engineering, Technology & Applied Science Research, vol. 14, no. 2, pp. 13133–13142, Apr. 2024.

B. Soust-Verdaguer, C. Llatas, and A. García-Martínez, "Critical review of bim-based LCA method to buildings," Energy and Buildings, vol. 136, pp. 110–120, Feb. 2017.

K. Safari and H. AzariJafari, "Challenges and opportunities for integrating BIM and LCA: Methodological choices and framework development," Sustainable Cities and Society, vol. 67, Apr. 2021, Art. no. 102728.

R. Jin, B. Zhong, L. Ma, A. Hashemi, and L. Ding, "Integrating BIM with building performance analysis in project life-cycle," Automation in Construction, vol. 106, Oct. 2019, Art. no. 102861.

Downloads

How to Cite

[1]
Alazawy, S.F.M., Aldhamad, S.H.R., Salih, B.M.M. and Al Zwainy, F.M.S. 2024. An Efficient Novel Model for Multi-Story Building Construction Quantity Estimation using Coupled MATLAB-Revit Software. Engineering, Technology & Applied Science Research. 14, 6 (Dec. 2024), 17717–17724. DOI:https://doi.org/10.48084/etasr.8802.

Metrics

Abstract Views: 134
PDF Downloads: 172

Metrics Information

Most read articles by the same author(s)