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Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm
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| Zeitschriftentitel: | Mathematical Problems in Engineering |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Mathematical Problems in Engineering, 2016, 2016, S. 1-11 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Hindawi Limited
|
| Schlagwörter: |
| author_facet |
Li, Yanlong Wang, Jing Xu, Zengguang Li, Yanlong Wang, Jing Xu, Zengguang |
|---|---|
| author |
Li, Yanlong Wang, Jing Xu, Zengguang |
| spellingShingle |
Li, Yanlong Wang, Jing Xu, Zengguang Mathematical Problems in Engineering Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm General Engineering General Mathematics |
| author_sort |
li, yanlong |
| spelling |
Li, Yanlong Wang, Jing Xu, Zengguang 1024-123X 1563-5147 Hindawi Limited General Engineering General Mathematics http://dx.doi.org/10.1155/2016/4971048 <jats:p>This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs.</jats:p> Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm Mathematical Problems in Engineering |
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Hindawi Limited, 2016 |
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Hindawi Limited, 2016 |
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2016 |
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Mathematical Problems in Engineering |
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49 |
| title |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_unstemmed |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_full |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_fullStr |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_full_unstemmed |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_short |
Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_sort |
design optimization of a concrete face rock-fill dam by using genetic algorithm |
| topic |
General Engineering General Mathematics |
| url |
http://dx.doi.org/10.1155/2016/4971048 |
| publishDate |
2016 |
| physical |
1-11 |
| description |
<jats:p>This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs.</jats:p> |
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| author | Li, Yanlong, Wang, Jing, Xu, Zengguang |
| author_facet | Li, Yanlong, Wang, Jing, Xu, Zengguang, Li, Yanlong, Wang, Jing, Xu, Zengguang |
| author_sort | li, yanlong |
| container_start_page | 1 |
| container_title | Mathematical Problems in Engineering |
| container_volume | 2016 |
| description | <jats:p>This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs.</jats:p> |
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| imprint | Hindawi Limited, 2016 |
| imprint_str_mv | Hindawi Limited, 2016 |
| institution | DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Zwi2, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1 |
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| series | Mathematical Problems in Engineering |
| source_id | 49 |
| spelling | Li, Yanlong Wang, Jing Xu, Zengguang 1024-123X 1563-5147 Hindawi Limited General Engineering General Mathematics http://dx.doi.org/10.1155/2016/4971048 <jats:p>This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs.</jats:p> Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm Mathematical Problems in Engineering |
| spellingShingle | Li, Yanlong, Wang, Jing, Xu, Zengguang, Mathematical Problems in Engineering, Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm, General Engineering, General Mathematics |
| title | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_full | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_fullStr | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_full_unstemmed | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_short | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| title_sort | design optimization of a concrete face rock-fill dam by using genetic algorithm |
| title_unstemmed | Design Optimization of a Concrete Face Rock-Fill Dam by Using Genetic Algorithm |
| topic | General Engineering, General Mathematics |
| url | http://dx.doi.org/10.1155/2016/4971048 |