位置:成果数据库 > 期刊 > 期刊详情页
关于 CSG 水坝 的形状优化的研究
  • ISSN号:1006-7647
  • 期刊名称:《水利水电科技进展》
  • 时间:0
  • 分类:TV64[水利工程—水利水电工程] TQ333.4[化学工程—橡胶工业]
  • 作者机构:[1]College of Mechanics and Materials, Hohai University, Naijing 210098, P R. China, [2]College of Water Conservancy and Hydropower Engineering, Hohai University, Naijing 210098, P. R. China, [3]Geotechnical Engineering Department, Nanjing Hydraulic Research Institute, Nanjing 210024, P. R. China
  • 相关基金:This work was supported by the National Natural Science Foundation of China (Grant No. 51179061), and the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20100094110014).
中文摘要:

多客观的优化方法在这研究被用于水泥沙和石子(CSG ) 水坝的形状优化。经济效率,最大的水平排水量的敏感和浇的水坝的最大的解决铺平变化,全面稳定性,和全面力量安全在优化过程期间被考虑。三个重量系数选择计划被采用进行一个水坝的形状优化,并且案例研究导致两个都,为最佳的剖面图的在上游、下游的水坝斜坡比率等于 1:0.7 的结论,它与到为 CSG 水坝的在上游、下游的水坝斜坡比率的 1:0.8 的 1:0.6 的以经验为主地观察的范围一致。因此,现在的学习具有为设计 CSG 水坝的某些参考价值。

英文摘要:

The multi-objective optimization method was used for shape optimization of cement sand and gravel (CSG) dams in this study. The economic efficiency, the sensitivities of maximum horizontal displacement and maximum settlement of the dam to water level changes, the overall stability, and the overall strength security were taken into account during the optimization process. Three weight coefficient selection schemes were adopted to conduct shape optimization of a dam, and the case studies lead to the conclusion that both the upstream-and downstream dam slope ratios for the optimal cross-section equal 1:0.7, which is consistent with the empirically observed range of 1:0.6 to 1;0.8 for the upstream and downstream dam slope ratios of CSG dams. Therefore, the present study is of certain reference value for designing CSG dams.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《水利水电科技进展》
  • 北大核心期刊(2011版)
  • 主管单位:教育部
  • 主办单位:河海大学
  • 主编:芮孝芳
  • 地址:南京市西康路1号河海大学
  • 邮编:210098
  • 邮箱:jz@hhu.edu.cn
  • 电话:025-83786335
  • 国际标准刊号:ISSN:1006-7647
  • 国内统一刊号:ISSN:32-1439/TV
  • 邮发代号:28-244
  • 获奖情况:
  • 全国水利系统优秀期刊,华东地区优秀期刊,江苏省优秀期刊
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:9466