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Permanent link (DOI): https://doi.org/10.7939/R3QZ22R6C

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Decision Support System for Crane Selection and Location Optimization on Construction Sites Open Access

Descriptions

Other title
Subject/Keyword
Optimization
Crane Support Design
Crane Selection
Automation
Decision Support System
Wind Analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Hasan, Md Shafiul
Supervisor and department
Bouferguene, Ahmed (Campus Saint-Jean)
Al-Hussein, Mohamed (Department of Civil and Environmental Engineering)
Examining committee member and department
Al-Hussein, Mohamed (Department of Civil and Environmental Engineering)
Bouferguene, Ahmed (Campus Saint-Jean)
Bayat, Alireza (Department of Civil and Environmental Engineering)
Lipsett, Michael (Department of Mechanical Engineering)
Mohamed, Yasser (Department of Civil and Environmental Engineering)
Hong, Won-Kee (Department of Architectural Engineering, Kyung Hee University, Korea)
Department
Department of Civil and Environmental Engineering
Specialization
Construction Engineering and Management
Date accepted
2013-08-22T13:59:17Z
Graduation date
2013-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Selecting the most appropriate cranes and identifying ideal crane locations on site can improve the productivity and safety of large-scale construction projects. A significant proportion of crane accidents have been caused by improper crane selection, lack of a proper crane support system, or a failure to calculate actual support reactions. This research presents a methodology to select feasible crane and optimize crane locations by evaluating the crane support reactions. This research seeks to provide practitioners with a methodology for successful crane operations through the utilization of decision support system. The developed system assists in proper crane selection, and also calculates the crane support reactions in order to design the support system. The proposed methodology optimizes the load moments for all lifted loads in order to identify the ideal crane location, which can in turn assist in selecting the most appropriate crane. Three case studies are described in order to demonstrate the use of the presented methodology for improving crane operations. This research aims to establish crane operational standardization for large projects involving multiple heavy lifts, such as modular building construction and Alberta Oil-Sands projects.
Language
English
DOI
doi:10.7939/R3QZ22R6C
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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