Application of BIM technology combined with artificial intelligence in construction management

artificial intelligence in construction management

Authors

  • Guoan Wei Henan Technical College of Construction

DOI:

https://doi.org/10.14311/CEJ.2021.02.0040

Keywords:

Building information modeling, Construction management, etic algorithm, Layout optimization

Abstract

The construction industry is a kind of multi-project engineering. The management in the construction process is an important factor in ensuring construction quality. This paper briefly introduced the relevant content of building information modeling (BIM) and the application of BIM combined with the genetic algorithm in optimizing the processing scheme in the cutting process of steel structure buildings, and took a grid-shaped steel shed in Zhengzhou, Henan, as an example to compare the traditional and BIM optimized schemes. The results showed that the BIM-optimized scheme could make better use of raw materials with different specifications and the optimization scheme had higher economic benefits because of higher utilization rate, fewer processing personnel, and fewer working hours

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References

Dore C, Murphy M, Mccarthy S, Brechin F, Casidy C, Dirix, E., 2015. Structural Simulations and Conservation Analysis-Historic Building Information Model (HBIM). ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-5/W4: 351-357, DOI: 10.5194/isprsarchives-XL-5-W4-351-2015.

Sánchez A R, Meli R, Chávez M M., 2016. Structural Monitoring of the Mexico City Cathedral (1990–2014). International Journal of Architectural Heritage, vol. 10: 254-268, DOI: 10.1080/15583058.2015.1113332.

Riaz Z, Edwards D J, Parn E A, Edwards DJ, Arslan M, Shen C, Pena-Mora F., 2017. BIM and sensor-based data management system for construction safety monitoring. Journal of Engineering, Design and Technology, vol. 15: 738-753, DOI: 10.1108/jedt-03-2017-0017.

Nguyen L H, Goulet J A., 2018. Anomaly detection with the Switching Kalman Filter for structural health monitoring. Structural Control & Health Monitoring, vol. 25: e2136.

Liu J, Liu Y, Shi Y, Li J., 2020. Solving Resource-Constrained Project Scheduling Problem via Genetic Algorithm. Journal of Computing in Civil Engineering, vol. 34: 04019055.1-04019055.10.

Azadeh A, Kalantari M, Ahmadi G, Eslami H., 2019. A flexible genetic algorithm-fuzzy regression approach for forecasting. Construction Innovation, vol. 19: 71-88.

Benjaoran V, Tabyang W, Sooksil N., 2015. Precedence relationship options for the resource levelling problem using a genetic algorithm. Construction Management & Economics, vol. 33: 711-723.

Almeida N M, Sousa V, Dias L A, Branco F.A., 2015. Engineering risk management in performance-based building environments. Statyba, vol. 21: 218-230.

Han K K, Golparvar-Fard M., 2015. Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs. Automation in Construction, vol. 53: 44-57, DOI:10.1016/j.autcon.2015.02.007.

Zhao D, Yao Y., 2018. Research on 3D Simulation of Fabricated Building Structure Based on BIM. 3D Research,vol. 9: 57.

Henke K, Pawlowski R, Schregle P, Winter S., 2015. Use of digital image processing in the monitoring of deformations in building structures. Journal of Civil Structural Health Monitoring, vol. 5: 141-152, DOI:10.1007/s13349-014-0091-6.

Ghosh A, Parrish K, Chasey A D., 2015. Implementing a Vertically Integrated BIM Curriculum in an Undergraduate Construction Management Program. International Journal of Construction Education & Research, vol. 11: 121-139.

Ghaffarianhoseini A, Zhang T, Naismith N, Ghaffarianhoseini A, Doan D, Rehman AU, Nwadigo O, Tookey J., 2018. ND BIM-integrated knowledge-based building management: Inspecting post-construction energy efficiency. Automation in Construction, vol. 97: 13-28, DOI:10.1016/j.autcon.2018.10.003.

Ji Q, Chen W., 2020. The Application of BIM Technology in the Cost Management of the Whole Process of Construction Projects. Journal of Physics: Conference Series, vol. 1648: 032016 (6pp), DOI:10.1088/1742-6596/1648/3/032016.

Li X, Xu J, Zhang Q., 2017. Research on Construction Schedule Management Based on BIM Technology. Procedia Engineering, vol. 174: 657-667.

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Published

2021-07-28

How to Cite

Wei, G. (2021). Application of BIM technology combined with artificial intelligence in construction management: artificial intelligence in construction management. Stavební Obzor - Civil Engineering Journal, 30(2). https://doi.org/10.14311/CEJ.2021.02.0040

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Articles