Abstract

Extreme wind speeds pose a serious threat to tower crane stability and can lead to excessive deflections or overturning of the mast. However, wind effects might not be considered directly in either the tower crane stability analysis or in the selection of a tower crane and use location. This problem may lead to crane failures or incidents due to extreme weather or improper selection of the crane foundation. To address these limitations, the present study proposes an automated system that includes: (1) mathematical models to determine the locations of the tower crane and the material supply, seeking to minimize not only lifting moments but also tower crane travel times; and (2) a static wind-based tower crane stability analysis to support the selection of a tower crane, which is the dimensions of its foundation that produce the most stable crane foundation system. A case study including 514 crane and material supply locations is adopted to validate the effectiveness of the proposed methodology.

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Data Availability Statement

All data, models, and codes generated or used in this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors wish to express their gratitude to the Natural Sciences and Engineering Research Council of Canada (NSERC) and NCSG Crane & Heavy Haul Corporation for their support of this research (Grant File No. CRDPJ 518160-17).

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 148Issue 11November 2022

History

Received: Oct 21, 2021
Accepted: May 23, 2022
Published online: Sep 9, 2022
Published in print: Nov 1, 2022
Discussion open until: Feb 9, 2023

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Research Assistant, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 1455 De Maisonneuve Blvd. W., Montréal, QC, Canada H3G 1M8. ORCID: https://orcid.org/0000-0003-0353-5513. Email: [email protected]
Ahmed Bouferguene [email protected]
Professor, Campus Saint-Jean, Univ. of Alberta, 190 CSJ Pavillon McMahon, 8406 Marie-Anne Gaboury St. (91 St.), Edmonton, AB, Canada T6C 4G9. Email: [email protected]
Associate Professor, Dept. of Civil Systems Engineering, College of Engineering, Ajou Univ., Suwon 16499, Republic of Korea. ORCID: https://orcid.org/0000-0001-8739-4193. Email: [email protected]
Associate Professor, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 1455 De Maisonneuve Blvd. W., Montréal, QC, Canada H3G 1M8; Co-Director, Centre for Innovation in Construction and Infrastructure Engineering and Management, Gina Cody School of Engineering and Computer Science, Concordia Univ., Montréal, QC, Canada H3G 1M8 (corresponding author). ORCID: https://orcid.org/0000-0002-5914-5883. Email: [email protected]

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