基于t分布烟花算法的土石坝碾压参数多目标优化
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TV541+.1

基金项目:

国家自然科学基金(51479132,51679164);国家自然基金创新群体资助项目(51621092)


Multi-objective optimization of earth-rock dam compaction parameters based on the t distribution mutation-firework algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    通过碾压正交试验,在定量分析碾压参数对土石坝料压实质量影响的基础上,建立综合考虑土石坝施工效率、压实密度和质量保证的碾压参数多目标优化模型,提出用于求解该优化模型的t分布变异烟花算法,以确定经济合理的碾压参数。该算法可以减小开展碾压试验的工作量,有助于寻得合理的碾压参数组合方案。工程实例分析表明,改进烟花算法相较传统优化算法收敛速度更快,寻优效率和稳定性更好;采用改进烟花算法优化的碾压参数,堆石坝料的压实密度和孔隙率均满足设计要求。

    Abstract:

    On the basis of quantitatively analyzing the relationship between compaction quality and compaction parameters, a comprehensive optimizing model with objectives of construction effectiveness, compacted density, and quality guarantee rate has been established in this paper. An adaptive t distribution mutation-firework algorithm(ATM-FWA)for the model was presented to achieve the economically reasonable compaction parameters for the construction of high earth-rock dam. The proposed method can contribute to search a reasonable compaction parameter scheme with less field compaction tests. A case study shows that ATM-FWA has more advantages than the traditional optimal methods in the convergence performance, searching effectiveness, and solution stability. The compaction density and porosity of earth-rock dam material using the optimized compaction parameters can satisfy the design requirement. Thus, the proposed method provides a new way for the roller selecting and the compaction parameters optimization in the construction of an earth-rock dam.

    参考文献
    相似文献
    引证文献
引用本文

刘东海,吴优.基于t分布烟花算法的土石坝碾压参数多目标优化[J].河海大学学报(自然科学版),2019,47(3):243-250.(LIU Donghai, WU You. Multi-objective optimization of earth-rock dam compaction parameters based on the t distribution mutation-firework algorithm[J]. Journal of Hohai University (Natural Sciences),2019,47(3):243-250.(in Chinese))

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-05-30
  • 出版日期: