一个结合的框架来建模鱼类学校教育
Xingyuan Mao1, Zhiqian Xin2, Xuewei Mao3
1Department of Mechanics, Zhejiang University, 38 Yugu Road, Hangzhou 310027, Hangzhou, Zhejiang, 310058, JAPAN.
Bioinspiration & biomimetics
|January 22, 2026
概括
本研究介绍了一种计算框架,将自动运动粒子 (SPP) 和计算流体动力学 (CFD) 模型结合起来,以模拟鱼类的学校行为. 综合模型捕捉了新出现的行为和水力动力学相互作用,提高了鱼群动力学模拟的现实性和效率.
科学领域:
- 计算生物学 计算生物学
- 流体动力学 流体动力学
- 动物行为 动物行为
背景情况:
- 模拟集体动物行为,就像鱼类学校教育一样,需要将个体相互作用与环境动态相结合.
- 现有模型在平衡计算效率与物理现实主义方面经常面临挑战.
研究的目的:
- 开发和介绍一个松散合的模拟框架,用于鱼类的学校教育.
- 将社会互动 (SPP模型) 与流体动力学 (CFD模型) 整合起来.
- 为了研究鱼群中新出现的行为和水力动力学效应.
主要方法:
- 用一种自行粒子 (SPP) 模型来研究鱼类的社会相互作用和运动规则.
- 运用计算流体动力学 (CFD) 来模拟流体环境和鱼类水力动力学.
- 使用预训练的深度强化学习模型生成鱼的波动动力学.
- 结合SPP和CFD模型,允许CFD灵活地遵循SPP轨迹.
主要成果:
- 差价合约的轨迹与SPP模型的轨迹非常接近,提供了现实主义和效率的平衡.
- 观察到追尾鱼的突发行为,例如横滑,以保持稳定的运动.
- 大型学校的模拟显示,由于有利的水力动力相互作用,随着更高的雷诺兹数,小组效率增加.
结论:
- 松散合的SPP-CFD框架有效地模拟了鱼类学校,捕捉了复杂的相互作用和新出现的现象.
- 该模型提供了一种灵活的方法来研究鱼类的集体行为,具有物理现实主义和计算效率.
- 水力动力相互作用在大型鱼群的效率中起着重要作用.
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