International Conference on Construction and Real Estate Management 2020
An Algorithm for Optimizing the Location and Type Selection of Attached Tower Cranes Based on Value Engineering
Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings
ABSTRACT
As we all know, tower crane is an important mechanical equipment that is widely used in construction projects. With the continuous expansion of construction scale, only one tower crane can’t satisfy the actual construction requirement, and more tower cranes are needed to work at the same time. This paper focuses on the study of two attached tower cranes that are simultaneously involved in the same building construction, and proposes an optimization algorithm to determine their optimal model combination and optimal placement position, which has achieved the purpose of reducing costs and improving construction efficiency. This algorithm is mainly divided into four parts: (1) According to the tower crane model, component quality, demand point location to determine the feasible layout area. (2) Find the optimal combination by comparing the working efficiency of different tower crane model combinations. (3) Determine the optimal placement position under each model combination. (4) Compare each scenario with a value engineering model and pick the best solution.
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ACKNOWLEDGEMENTS
This work is financially supported by the Fundamental Research Funds for Central Universities (Project NO.2019CDSKXYJSG0041), the Youth Project of science and technology research program of Chongqing Education Commission of China (Project NO.KJQN201800125), the City Science of Chongqing.
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Information & Authors
Information
Published In
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 106 - 117
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Oct 14, 2020
Published in print: Oct 14, 2020
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