形状参数化和高效优化设计方法,用于射线状的水下滑翔机
Daiyu Zhang1, Daxing Zeng1, Heng Zhou2,3
1School of Naval Architecture and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
Biomimetics (Basel, Switzerland)
|January 27, 2026
概括
本研究介绍了一种优化水下滑翔机设计的高效方法,使用参数建模和计算流体动力学 (CFD) 显著提高了116%的升降率. 这种方法减少了生物灵感汽车的设计周期时间和计算成本.
科学领域:
- 流体动力学和水力动力学
- 计算科学与工程 计算科学与工程
- 生物灵感机器人 生物灵感机器人
背景情况:
- 水下滑翔机的高精度优化面临着计算成本和设计周期长度的挑战.
- 生物灵感设计,如光线般的滑翔机,提供了增强机动性和效率的潜力.
- 精确的水力动力学建模对于优化水下车辆性能至关重要.
研究的目的:
- 开发一种高精度,低成本的参数建模和优化方法,用于类似射线的水下滑翔机.
- 为了提高提升-拖拉比率,并改善生物灵感的水下车辆的流量分布.
- 为了减少与高精度优化相关的计算费用和设计时间.
主要方法:
- 使用基于曼塔雷轮的类形状转换 (CST) 来重建参数几何.
- 高保真计算流体动力学 (CFD) 模拟用于水力动力学性能评估.
- 基于Kriging的顺序优化框架,使用平均平方预测 (MSP) 和预期改进 (EI) 来改进自适应替代模型.
主要成果:
- 在提升-拖拉比率上实现了116%的改进.
- 在滑翔机周围表现出更均的流量分布.
- 通过比较案例研究验证了参数建模和优化方法的有效性.
结论:
- 提出的方法为生物灵感水下车辆的参数设计和水力动力学优化提供了一个实用和高效的工具.
- 该方法成功地平衡了高精度与降低计算成本和设计周期时间.
- 这些发现有助于推进自动水下车辆的设计和性能.
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