基于反向传播神经网络的骨架填充FRP管的可靠优化
Yu Xiong1, Haiyang Yang2, Xinyu Li1
1Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing, 100081, PR China.
Heliyon
|December 11, 2023
概括
一种新的复合骨架 (OS-骨架) 通过改善轻质复合管的能量吸收来提高车辆安全. 这种设计为先进的能量吸收器提供了卓越的防撞性和材料利用率.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 汽车安全 汽车安全
背景情况:
- 作为能量吸收器,轻质复合管对于车辆安全系统至关重要.
- 提高防撞性需要这些管道的创新内部增强.
研究的目的:
- 提出和评估一种新的复合骨架 (OS-骨架),以提高轻质复合管的防撞性.
- 优化OS骨架的结构参数,以改善能量吸收特性.
主要方法:
- 使用特殊组装模具,整体制造新的OS骨架.
- 动态冲击负载测试以评估故障模式和能量吸收.
- 用于模型验证的有限元分析 (FEA).
- 使用反向传播神经网络 (BPNN) 的多目标优化.
主要成果:
- 在动态冲击下,操作系统骨架表现出稳定的渐进式故障模式.
- FEA模型准确地预测了实验反应曲线和变形模式.
- 优化显示,增加骨厚度和肋骨数量可以提高平均压碎力 (MCF) 和特定能量吸收率 (SEA).
- 在内管直径,肋骨数和能量吸收之间观察到非线性关系.
结论:
- 拟议的带有OS骨架的复合管显示了轻量级能量吸收器的巨大潜力.
- 操作系统骨的优化结构设计可以最大限度地提高防撞性能.
- 这一创新有助于开发更有效的车辆安全系统.
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