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...

Full description

Bibliographic Details
Main Authors: Hyo Won Sohn, Won Kee Hong, Donghoon Lee, Chae-Yeon Lim, Xiangyu Wang, Sunkuk Kim
Format: Article
Language:English
Published: SAGE Publishing 2014-08-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/58438
id doaj-0898573d40a448768228f708ce6f43d3
record_format Article
spelling 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 AT hyowonsohn optimumtowercraneselectionandsupportingdesignmanagement
AT wonkeehong optimumtowercraneselectionandsupportingdesignmanagement
AT donghoonlee optimumtowercraneselectionandsupportingdesignmanagement
AT chaeyeonlim optimumtowercraneselectionandsupportingdesignmanagement
AT xiangyuwang optimumtowercraneselectionandsupportingdesignmanagement
AT sunkukkim optimumtowercraneselectionandsupportingdesignmanagement
_version_ 1724749842469617664