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评估沿着机场跑道滑翔坡的风场特征:一个可解释的增强机器辅助风洞研究

Afaq Khattak¹, Pak-Wai Chan², Feng Chen³

¹Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, College of Transportation Engineering, Tongji University, 4800 Cao'an Road, Jiading, Shanghai, 201804, China.

Scientific reports

|July 6, 2023

概括

这项研究使用可解释增强机 (EBM) 准确预测跑道附近的逆风速度和流强度. 该EBM模型提供了对影响飞机着陆安全的因素的关键见解.

科学领域:

航空航天工程航空航天工程
大气科学大气科学
数据科学数据科学数据科学

背景情况:

机场跑道附近的强风对飞机安全构成重大风险.
由于不利的风力条件,滑翔坡度的偏差,错过的接近和机可能会发生.

研究的目的:

为了估计对风速度和流强度的变化沿着机场跑道滑翔坡.
用玻璃盒模型解释影响风场特征的贡献因素.

主要方法:

在风洞中开发了香港国际机场跑道的缩小模型.
使用可解释增强机器 (EBM) 用实验数据和贝叶斯优化进行训练.
与各种黑盒和玻璃盒模型进行EBM性能比较.

主要成果:

在预测逆风速度和流强度方面,EBM模型表现出卓越的性能.
与其他模型相比,EBM实现了更好的准确度指标 (MAE,MSE,RMSE,R平方).
该EBM模型提供了对促成因素的全面全球和本地解释.

结论:

可解释式提升机 (EBM) 对于分析航空安全至关重要的风场特征非常有效.
准确地预测和解释风的变化可以提高飞机着陆安全协议.
这种方法提供了有价值的见解,以减轻与风条件相关的风险.

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