Optimum Tower Crane Selection and Supporting Design Management
To optimize tower crane selection and supporting design, lifting requirements (as well as stability) should be examined, followed by a review of economic feasibility. However, construction engineers establish plans based on data provided by equipment suppliers since there are no tools with which to...
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2014-08-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/58438 |
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doaj-0898573d40a448768228f708ce6f43d32020-11-25T02:48:07ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-08-011110.5772/5843810.5772_58438Optimum Tower Crane Selection and Supporting Design ManagementHyo Won Sohn0Won Kee Hong1Donghoon Lee2Chae-Yeon Lim3Xiangyu Wang4Sunkuk Kim5 Department of Architectural Engineering, Kyung Hee University, Korea Department of Architectural Engineering, Kyung Hee University, Korea Department of Architectural Engineering, Kyung Hee University, Korea Department of Architectural Engineering, Kyung Hee University, Korea School of Built Environment, Curtin University, Australia Department of Architectural Engineering, Kyung Hee University, KoreaTo optimize tower crane selection and supporting design, lifting requirements (as well as stability) should be examined, followed by a review of economic feasibility. However, construction engineers establish plans based on data provided by equipment suppliers since there are no tools with which to thoroughly examine a support design's suitability for various crane types, and such plans lack the necessary supporting data. In such cases it is impossible to optimize a tower crane selection to satisfy lifting requirements in terms of cost, and to perform lateral support and foundation design. Thus, this study is intended to develop an optimum tower crane selection and supporting design management method based on stability. All cases that are capable of generating an optimization of approximately 3,000 ˜ 15,000 times are calculated to identify the candidate cranes with minimized cost, which are examined. The optimization method developed in the study is expected to support engineers in determining the optimum lifting equipment management.https://doi.org/10.5772/58438 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hyo Won Sohn Won Kee Hong Donghoon Lee Chae-Yeon Lim Xiangyu Wang Sunkuk Kim |
spellingShingle |
Hyo Won Sohn Won Kee Hong Donghoon Lee Chae-Yeon Lim Xiangyu Wang Sunkuk Kim Optimum Tower Crane Selection and Supporting Design Management International Journal of Advanced Robotic Systems |
author_facet |
Hyo Won Sohn Won Kee Hong Donghoon Lee Chae-Yeon Lim Xiangyu Wang Sunkuk Kim |
author_sort |
Hyo Won Sohn |
title |
Optimum Tower Crane Selection and Supporting Design Management |
title_short |
Optimum Tower Crane Selection and Supporting Design Management |
title_full |
Optimum Tower Crane Selection and Supporting Design Management |
title_fullStr |
Optimum Tower Crane Selection and Supporting Design Management |
title_full_unstemmed |
Optimum Tower Crane Selection and Supporting Design Management |
title_sort |
optimum tower crane selection and supporting design management |
publisher |
SAGE Publishing |
series |
International Journal of Advanced Robotic Systems |
issn |
1729-8814 |
publishDate |
2014-08-01 |
description |
To optimize tower crane selection and supporting design, lifting requirements (as well as stability) should be examined, followed by a review of economic feasibility. However, construction engineers establish plans based on data provided by equipment suppliers since there are no tools with which to thoroughly examine a support design's suitability for various crane types, and such plans lack the necessary supporting data. In such cases it is impossible to optimize a tower crane selection to satisfy lifting requirements in terms of cost, and to perform lateral support and foundation design. Thus, this study is intended to develop an optimum tower crane selection and supporting design management method based on stability. All cases that are capable of generating an optimization of approximately 3,000 ˜ 15,000 times are calculated to identify the candidate cranes with minimized cost, which are examined. The optimization method developed in the study is expected to support engineers in determining the optimum lifting equipment management. |
url |
https://doi.org/10.5772/58438 |
work_keys_str_mv |
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