Optimization of Formwork Planning with Integer Programming and Genetic Algorithm
| Autor: | Hsiang-Te Chu, 朱祥德 |
|---|---|
| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Formwork engineering is an extremely important labor item in the construction. The period of structured construction in high buildings is approximately 70% of the total periods, and the period of formwork engineering in structured construction is about 60%. Therefore, the period of formwork engineering in the construction is more than 40%. It is a huge influence on the construction progress. Furthermore, due to the shortage of the templates workers and poor group mode technology, people cut template material excessively. The inefficient formwork assembly results in cost increasing and schedule delay. It is a very difficult research subject to efficiently improve the program of formwork assembly by cutting and combining the overall templates which are before grouting from pieces of original templates. The article is based on the construction of formwork assembly to propose a program called Formwork Assembly Optimization (FAO). FAO includes two solution steps. First, put exposed forms into a designed floor in the same direction, and then, use integer programming to complete the optimization of a trim at different sizes of X and Y edges. Second, use genetic algorithms to search a near optimum solution of a not laying floor. FAO is formed from these two steps. In Zhubei City, FAO has successfully applied to a building construction which has twenty seven floors including 3 underground floors and 23992.11 m2 total floor area. In the actual validation result, FAO can effectively reduce the cost of the form material at least about 10.34%, and provide the contractor a proposal of single floor exposed form paving. It tells people how to place and trim the templates to save template material. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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