Ajou University repository

Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location
  • Hebiba, Alaaeldin Magdy ;
  • Bouferguene, Ahmed ;
  • Moon, Sungkon ;
  • Han, Sanghyeok
Citations

SCOPUS

7

Citation Export

Publication Year
2022-11-01
Publisher
American Society of Civil Engineers (ASCE)
Citation
Journal of Construction Engineering and Management, Vol.148
Keyword
Crane model selectionCrane support reactionMast deformationTower crane site layout optimizationWind effect
Mesh Keyword
Crane model selectionCrane support reactionLayout optimizationMast deformationMaterial supplyModel SelectionSite layoutStability analyzeSupport reactionTower crane site layout optimization
All Science Classification Codes (ASJC)
Civil and Structural EngineeringBuilding and ConstructionIndustrial RelationsStrategy and Management
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.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32932
DOI
https://doi.org/10.1061/(asce)co.1943-7862.0002377
Fulltext

Type
Article
Funding
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).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Moon, Sung Kon Image
Moon, Sung Kon문성곤
Department of Civil Systems Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.