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Jun, 2023
受物理约束的随机森林用于湍流模型不确定性估计
Physics-constrained Random Forests for Turbulence Model Uncertainty Estimation
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Marcel Matha, Christian Morsbach
TL;DR
为了实现工业设计的虚拟认证，本文阐述了一种以物理约束为基础来解决湍流模型认识不确定性的方法，通过数据驱动的机器学习策略来消除用户输入，并关注在数据不足时开发先验估计的预测置信度。
Abstract
To achieve
virtual certification
for
industrial design
, quantifying the uncertainties in simulation-driven processes is crucial. We discuss a physics-constrained approach to account for
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