Chapter
Jan 25, 2024

Improving Multi-Crane Operations in Congested Urban Areas via Simulation of Overlapping Areas

Publication: Computing in Civil Engineering 2023

ABSTRACT

Over the past years, the construction industry has been significantly impacted by the growing demand for efficient delivery of high-rise buildings in urban areas. Due to the magnitude of these projects and the multitude of crane-demanded tasks involved, the use of multiple tower cranes in such projects is common. However, the high congestion levels and logistic constraints in urban areas often encounter overlapping areas between tower cranes. Therefore, the planning of crane operations that considers overlapping areas is essential; however, past research has not explored this aspect sufficiently. This study aims to address this problem by investigating the influence of the number and size of overlapping areas on project completion time. To achieve this, we developed a simulation model to generate and simulate various scenarios associated with multi-crane operations with respect to the mentioned parameters. The study adopts a recently developed agent-based method for crane operations that minimizes the constraints imposed by overlapping areas (e.g., collision-related delays) and maximizes the benefits of these areas (e.g., accelerating material delivery to high-demand areas). Finally, the study simulates the construction of an actual high-rise project to evaluate various cases for positioning overlapping areas and explores the most time-saving strategy.

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REFERENCES

Al Hattab, M., Zankoul, E., and Hamzeh, F. R. (2017). Near-Real-Time Optimization of Overlapping Tower Crane Operations: A Model and Case Study. Journal of Computing in Civil Engineering, 31(4), 05017001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000666.
Huang, C., Li, W., Lu, W., Xue, F., Liu, M., and Liu, Z. (2021). Optimization of multiple-crane service schedules in overlapping areas through consideration of transportation efficiency and operational safety. Automation in Construction, 127(March), 103716. https://doi.org/10.1016/j.autcon.2021.103716.
Khodabandelu, A., Park, A., Choi, J. O., and Sanei, J. (2022). Analysis of a Long Volumetric Module Lift Using Single and Multiple Cranes. 9th International Conference on Construction Engineering and Project Management, 563–570. http://www.koreascience.or.kr/article/CFKO202221543204737.page.
Khodabandelu, A., and Park, J. (2021a). An Agent-Based Model for Construction Material Management through a Non-Homogeneous Storage System. Computing in Civil Engineering 2021, 811–818. https://doi.org/10.1061/9780784483893.100.
Khodabandelu, A., and Park, J. (2021b). Integrating BIM and ABS for Multi-Crane Operation Planning through Enabling Safe Concurrent Operations. Computing in Civil Engineering 2021, 1128–1135. https://doi.org/10.1061/9780784483893.138.
Khodabandelu, A., and Park, J. W. (2021c). Agent-based modeling and simulation in construction. Automation in Construction, 131(August), 103882. https://doi.org/10.1016/j.autcon.2021.103882.
Khodabandelu, A., Park, J. W., and Arteaga, C. (2020). Crane operation planning in overlapping areas through dynamic supply selection. Automation in Construction, 117(April), 103253. https://doi.org/10.1016/j.autcon.2020.103253.
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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 275 - 282

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Published online: Jan 25, 2024

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Ali Khodabandelu [email protected]
1Ph.D. Candidate, Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas, Las Vegas, NV. Email: [email protected]
JeeWoong Park, Ph.D., A.M.ASCE [email protected]
2Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas, Las Vegas, NV. Email: [email protected]
3Ph.D. Student, Dept. of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, Las Vegas, NV. Email: [email protected]
Cristian Arteaga, Ph.D. [email protected]
4Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas, Las Vegas, NV. Email: [email protected]

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