Noise characteristics and control of regulator spray valve: A hybrid computational and machine learning approach

IF 2.3 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Annals of Nuclear Energy Pub Date : 2025-08-27 DOI:10.1016/j.anucene.2025.111809

Hongwei Xu , Yufeng Lang , Jianian Chang , Xizhuo Le , Jianfeng Mao

引用次数: 0

Abstract

The flow-induced noise generated during the operation of the regulator spray valve, a critical component for pressure control in pressurized water reactor nuclear power plants, can significantly impact its reliability. In this study, Large Eddy Simulation (LES) is coupled with Lighthill’s acoustic analogy to model the noise-generation mechanism, showing that the sound arising from vortex structures and turbulent pulsations exhibits distinct frequency-domain characteristics. Machine learning is then employed to optimize a multi-objective noise-reduction design for the downstream orifice plate; this yields a 12.4 dB(A) noise reduction while decreasing the flow coefficient by only 7.5%. The optimized configuration increases structural safety without impairing valve operability, offering critical insights for enhancing performance and extending service life.

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调节喷雾阀的噪声特性与控制：一种混合计算与机器学习方法

稳压喷淋阀是核电站压水堆压力控制的关键部件，其运行过程中产生的流致噪声会严重影响其可靠性。在本研究中，大涡模拟（LES）与Lighthill的声学类比相结合来模拟噪声的产生机制，表明涡旋结构和湍流脉动产生的声音具有明显的频域特征。然后利用机器学习优化下游孔板的多目标降噪设计；这将产生12.4 dB(a)的降噪，而流量系数仅降低7.5%。优化后的配置在不影响阀门操作的情况下提高了结构安全性，为提高性能和延长使用寿命提供了关键见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Nuclear Energy 工程技术-核科学技术

CiteScore

4.30

自引率

21.10%

发文量

632

审稿时长

7.3 months

期刊介绍： Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.