基于Kriging模型的Z形管道结构的多目标优化方法的研究.
Chunya Sun1,2, Zhengdong Xiao1,2, Yanqiu Xiao3,4
1Henan Collaborative Innovation Center of Intelligent Tunnel Boring Machine, Zhengzhou University of Light Industry, Zhengzhou, 450000, China.
Scientific reports
|November 28, 2024
概括
这项研究优化了使用计算流体动力学和离散元素方法 (CFD-DEM) 模拟的Z形泥管道. 优化的设计提高了沉积物运输效率,并减少了疏操作中的颗粒积累.
科学领域:
- 工程 工程师 工程师 工程师
- 流体力学 流体力学 流体力学
- 计算科学 计算科学
背景情况:
- 泥管道运输对于疏至关重要,但在模拟粒子相互作用和优化管道结构方面面临挑战.
- 需要精确的数值模拟和结构优化来提高泥运输系统的效率和可靠性.
研究的目的:
- 在污泥循环系统中,研究设计具有B-spline曲线的Z形管道的性能.
- 开发一种多目标优化方法,以提高沉积物承载能力,降低计算复杂性.
- 分析结构参数对泥流动特性和运输效率的影响.
主要方法:
- 使用B-spline曲线实现Z形连续管道.
- 通过实验性污泥循环验证计算流体动力学离散元件方法 (CFD-DEM).
- 整合Kriging代理模型与非主导排序遗传算法II (NSGA-II) 进行多目标优化.
主要成果:
- 在泥循环实验中验证了CFD-DEM方法.
- 优化一个Z形管道 (内径0.3米,轴高度1.5米) 对于一个6.24米的泥屏蔽道挖掘机.
- 实现了8.9%的平均粒子速度增加和21.3%的粒子积累减少.
结论:
- 拟议的多目标优化方法有效地提高了沉积物承载能力,并减少了计算负载.
- 优化的Z形管道结构提高了泥运输效率,并最大限度地减少了颗粒积累.
- 了解管道几何和流量参数之间的相互作用是有效的泥运输设计的关键.
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