Abstract

The trend toward more compact designs and congested site layouts makes it challenging for lift planners to provide feasible lift paths for mobile cranes, confronting the added risk of potential collisions when maneuvering through on-site obstacles. In some cases, particularly in congested industrial modular projects, it is inevitable for mobile cranes to walk with loads to a position with sufficient clearance to perform the lifts and place the objects in their final set position. This study contributes to the body of knowledge by introducing a comprehensive lift planning framework to plan complicated lifts involving mobile crane walking operations. Due to the lack of reliable and accurate plans for such lifts in practice and the added complexities, they are often eluded by practitioners compared with the more straightforward pick-and-set scenarios. This study proposes an algorithm for optimized planning of crane walking–involved lift operations borrowing an obstacle avoidance technique from robotics. The proposed path planner thoroughly considers site constraints and crane configurations to prevent collision between the crane body and the load with preinstalled objects. Actual case studies are presented to validate the efficiency of the proposed algorithm. The system generated the presented real-world lift in less than 5 min, satisfying the operations’ optimality, safety, and feasibility.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The support of PCL Construction and the Tecnosa R&D center to accomplish this research is greatly appreciated.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 7July 2023

History

Received: Sep 2, 2022
Accepted: Jan 10, 2023
Published online: Apr 26, 2023
Published in print: Jul 1, 2023
Discussion open until: Sep 26, 2023

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Kamyab Aghajamali [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Univ. of New Brunswick, Fredericton, NB, Canada E3B 5A3. Email: [email protected]
Ala Nekouvaght Tak, S.M.ASCE [email protected]
Formerly, Graduate Student, and Research Assistant, School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran 11155-4563, Iran. Email: [email protected]
Associate Professor, School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran 11155-4563, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-5117-7987. Email: [email protected]
Ali Mousaei [email protected]
Formerly, Graduate Student, School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran 11155-4563, Iran. Email: [email protected]
Saeed Behzadipour [email protected]
Associate Professor, Dept. of Mechanical Engineering, Sharif Univ. of Technology, Tehran 11155-9567, Iran. Email: [email protected]
Ulrich Hermann, M.ASCE [email protected]
Manager of Construction Engineering, PCL Construction, 9925 56 Ave., Edmonton, AB, Canada T6E 3P4. Email: [email protected]

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