Optimum Tower Crane Selection and Supporting Design Management
dc.contributor.author | Sohn, H. | |
dc.contributor.author | Hong, W. | |
dc.contributor.author | Lee, D. | |
dc.contributor.author | Lim, C. | |
dc.contributor.author | Wang, Xiangyu | |
dc.contributor.author | Kim, S. | |
dc.date.accessioned | 2017-01-30T11:35:31Z | |
dc.date.available | 2017-01-30T11:35:31Z | |
dc.date.created | 2015-06-25T20:00:39Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Sohn, H. and Hong, W. and Lee, D. and Lim, C. and Wang, X. and Kim, S. 2014. Optimum Tower Crane Selection and Supporting Design Management. International Journal of Advanced Robotic Systems. 11: Article ID 133. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/13206 | |
dc.identifier.doi | 10.5772/58438 | |
dc.description.abstract |
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. | |
dc.publisher | ARS | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
dc.title | Optimum Tower Crane Selection and Supporting Design Management | |
dc.type | Journal Article | |
dcterms.source.volume | 11 | |
dcterms.source.number | 1 | |
dcterms.source.issn | 1729-8806 | |
dcterms.source.title | International Journal of Advanced Robotic Systems | |
curtin.department | School of Built Environment | |
curtin.accessStatus | Open access |