碩士 / 國立中興大學 / 土木工程學系 / 90 / Due to an increase of the population and industry development, the need of water in all respects is increasing. In process of using water will be polluted; however, it is collected by the sewer systems and drained into rivers after dealing with effluents. The old sewer systems are discovered recently not to be rehabilitated yet in Taiwan, so the chaps and cracks make the phenomenon of leak. The phenomenon could be serious to pollute water for civil; therefore, the government have attached water resources management gradually.
Traditionally, Reinforced Concrete Pipe（RCP） is designed for the. The character of material not only is easy to be invaded to make cracks but it’s life-span also is short. For finding out how to change processes of rehabilitation or choosing which material combination would improve the sewer systems’ performance in Kaoshiung, simulation run all possible alternatives of material combination.Therefore, simulation is not considered as an optimization technique. Since Holland proposed Genetic Algorithms（GAs） in 1975, GAs has been widely used for solving optimization problems in different research areas and gaining good performance. This research presents Decision Supporting System（DSS） used in rehabilitation of sewer system that applies GAs as a pre-processor for filtering the material combination that has good influence on system performance. Then, simulation can be treated as an optimization technique for selecting good material combinations to improve the performance of sewer system. Finally, analysis the results of simulation and show the layouts of the sewer system on Geographic Information Systems（GIS）.Help the managers under a limited budget to make the best decision.
| Identifer | oai:union.ndltd.org:TW/090NCHU0015086 |
| Date | January 2002 |
| Creators | Tung-Chung Su, 蘇東青 |
| Contributors | Ming-Der Yang, 楊明德 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 104 |
Page generated in 0.0013 seconds