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Numerical investigation on reduction of valve flow noise in high pressure gas pipe using perforated plates 采用穿孔板降低高压燃气管道阀流噪声的数值研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2021-01-01 DOI: 10.7776/ASK.2021.40.1.055
Gyunam Kim, Ga-ram Ku, C. Cheong, W. Kang, Kuksu Kim
In this study, a numerical methodology is proposed for evaluating valve flow noise in a pipe conveying high pressure gas, and the effects of perforated plates on reduction of such valve flow noise are quantitatively analyzed. First, high-accurate unsteady compressible Large Eddy Simulation techniques are utilized to predict flow and flow noise by a valve in a high-pressure pipe. The validity of the numerical result is confirmed by comparing the predicted wall pressure spectrum with the measured one. Next, the acoustic power of downstream-propagating acoustic waves due to the valve flow is analyzed using an acoustic power formula for acoustic waves propagating on mean flow in a pipe. Based on the analysis results, perforated plates are designed and installed downstream of the valve to suppress the valve flow noise and the acoustic power of downstream-going acoustic waves is predicted by using the same numerical procedure. The reduction by 9.5 dB is confirmed by comparing the predicted result with that of the existing system. Based on these results, the current numerical methodology is expected to be used to reduce valve flow noise in an existing system as well as in a design stage.
本文提出了一种评估高压气体管道中阀门流动噪声的数值方法,并定量分析了穿孔板对降低高压气体管道中阀门流动噪声的影响。首先,利用高精度非定常可压缩大涡模拟技术对高压管道中阀门的流动和流动噪声进行了预测。通过与实测壁面压力谱的比较,验证了数值计算结果的有效性。其次,利用管道平均流量下传播声波的声功率公式,分析了阀门流量下传播声波的声功率。在分析结果的基础上,在阀门下游设计并安装了穿孔板以抑制阀门流动噪声,并采用相同的数值计算方法预测了下游声波的声功率。通过将预测结果与现有系统的结果进行比较,证实了降低9.5 dB的效果。基于这些结果,目前的数值方法有望用于降低现有系统以及设计阶段的阀门流量噪声。
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引用次数: 0
Study on the cavitation and noise characteristics by air injection in three dimensional hydrofoil 三维水翼喷气空化与噪声特性研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2021-01-01 DOI: 10.7776/ASK.2021.40.1.038
Han Seol Jeong
: In this study, changes in cavitation pattern and noise by air injection were investigated experimentally in a cavitation tunnel. Air injection system that can control the location and the amount of air was manufactured and installed in an elliptic wing that exhibits similar characteristics to those of a propeller blade. Various types of cavitation were simulated on the hydrofoil by adjusting the test conditions in the cavitation tunnel, and the changes in cavitation pattern and noise according to air injection were experimentally analyzed. It was shown that the noise characteristics varied depending on the position and the amount of air injection. This means that in order to apply the air injection technology to the propeller, it is necessary to optimize the air injection location and the amount of injection according to the cavitation characteristics.
本文在空化隧道中对空化模式和噪声的变化进行了实验研究。制造并安装了可以控制位置和空气量的空气喷射系统,该系统具有与螺旋桨叶片相似的特性。通过调整空化洞内的试验条件,模拟了水翼上不同类型的空化现象,实验分析了空化模式和噪声随空气注入的变化。结果表明,噪声特性随喷气位置和喷气量的变化而变化。这意味着为了将空气喷射技术应用到螺旋桨上,需要根据空化特性对空气喷射位置和喷射量进行优化。
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引用次数: 1
Harmfulness of infrasound and wind turbine noise managements 次声危害与风力机噪声治理
IF 0.4 Q4 ACOUSTICS Pub Date : 2021-01-01 DOI: 10.7776/ASK.2021.40.1.073
S. Kim
Wind power energy harvesting has a big potential as a future clean energy resource, but accompanies infrasonic noises. The infrasound is difficult to shield and can induce various negative physiological effects. In this study, the Wind Turbine Syndrome (WTS) caused by the infrasonic noises are introduced, and the technical aspects for the measurement and management of the infrasonic noises from wind power plants are discussed.
风力发电作为一种未来的清洁能源具有很大的潜力,但同时也伴随着次声噪声。次声难以屏蔽,可引起各种负面生理效应。本文介绍了由次声噪声引起的风力机综合征,并讨论了风电场次声噪声测量和管理的技术问题。
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引用次数: 0
Development of noise mapping system to manage the interior room noise of power plants 开发噪声测绘系统,对电厂室内噪声进行管理
IF 0.4 Q4 ACOUSTICS Pub Date : 2021-01-01 DOI: 10.7776/ASK.2021.40.1.092
Young-il Kim
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引用次数: 0
A survey on parallel training algorithms for deep neural networks 深度神经网络并行训练算法综述
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.505
Dongsuk Yook, Hyowon Lee, In-Chul Yoo
Since a large amount of training data is typically needed to train Deep Neural Networks (DNNs), a parallel training approach is required to train the DNNs. The Stochastic Gradient Descent (SGD) algorithm is one of the most widely used methods to train the DNNs. However, since the SGD is an inherently sequential process, it requires some sort of approximation schemes to parallelize the SGD algorithm. In this paper, we review various efforts on parallelizing the SGD algorithm, and analyze the computational overhead, communication overhead, and the effects of the approximations.
由于深度神经网络(dnn)的训练通常需要大量的训练数据,因此需要一种并行训练方法来训练dnn。随机梯度下降(SGD)算法是目前应用最广泛的深度神经网络训练方法之一。然而,由于SGD是一个固有的顺序过程,它需要某种近似方案来并行化SGD算法。在本文中,我们回顾了并行化SGD算法的各种努力,并分析了计算开销、通信开销以及近似的影响。
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引用次数: 2
Development of high performance and low noise axial-flow fan for cooling machine room of refrigerator using airfoil-cascade analysis and surface ridge shape 利用翼型叶栅分析和表面脊形设计研制高性能低噪声制冷机冷却机房轴流风机
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.515
J. Choi, Seo-Yoon Ryu, C. Cheong, Tae Hoon Kim, J. Koo
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引用次数: 0
Optimal depth for dipping sonar system using optimization algorithm 基于优化算法的倾斜声纳系统最佳深度
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.541
S. An
To overcome the disadvantage of hull mounted sonar, many countries operate dipping sonar system for helicopter. Although limited in performance, this system has the advantage of ensuring the survivability of the surface ship and improving the detection performance by adjusting the depth according to the ocean environment. In this paper, a method to calculate the optimal depth of the dipping sonar for helicopters is proposed by applying an optimization algorithm. In addition, in order to evaluate the performance of the sonar, the Sonar Performance Function (SPF) is defined to consider the ocean environment, the depth of the target and the depth of the dipping sonar. In order to reduce the calculation time, the optimal depth is calculated by applying Simulated Annealing (SA), one of the optimization algorithms. For the verification of accuracy, the optimal depth calculated by applying the optimization technique is compared with the calculation of the SPF. This paper also provides the results of calculation of optimal depth for ocean environment in the East sea.
为了克服船载声纳的缺点,许多国家都为直升机配备了倾斜声纳系统。尽管性能有限,但该系统具有确保水面舰艇生存能力的优点,并通过根据海洋环境调整深度来提高探测性能。本文提出了一种利用优化算法计算直升机倾斜声纳最佳深度的方法。此外,为了评估声纳的性能,定义了声纳性能函数(SPF),以考虑海洋环境、目标深度和倾斜声纳的深度。为了减少计算时间,应用优化算法之一的模拟退火(SA)来计算最佳深度。为了验证精度,将应用优化技术计算的最佳深度与SPF的计算进行了比较。本文还提供了东海海洋环境最佳水深的计算结果。
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引用次数: 0
A study on the improvement of robust automatic initiated tracking on narrowband target 窄带目标鲁棒自动启动跟踪的改进研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.549
Seong-Weon Kim, Hyeon‑Deok Cho, Taek-ik Kwon
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引用次数: 0
Earthquake events classification using convolutional recurrent neural network 基于卷积递归神经网络的地震事件分类
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.592
Bonhwa Ku, Gwantae Kim, Su Jang, Hanseok Ko
This paper proposes a Convolutional Recurrent Neural Net (CRNN) structure that can simultaneously reflect both static and dynamic characteristics of seismic waveforms for various earthquake events classification. Addressing various earthquake events, including not only micro-earthquakes and artificial-earthquakes but also macro-earthquakes, requires both effective feature extraction and a classifier that can discriminate seismic waveform under noisy environment. First, we extract the static characteristics of seismic waveform through an attention-based convolution layer. Then, the extracted feature-map is sequentially injected as input to a multiinput single-output Long Short-Term Memory (LSTM) network structure to extract the dynamic characteristic for various seismic event classifications. Subsequently, we perform earthquake events classification through two fully connected layers and softmax function. Representative experimental results using domestic and foreign earthquake database show that the proposed model provides an effective structure for various earthquake events classification.
本文提出了一种能够同时反映地震波形静态和动态特征的卷积递归神经网络(CRNN)结构,用于各种地震事件的分类。处理各种地震事件,不仅包括微地震和人工地震,还包括宏观地震,既需要有效的特征提取,也需要能够在噪声环境下识别地震波形的分类器。首先,通过基于注意的卷积层提取地震波形的静态特征。然后,将提取的特征图依次作为输入注入到多输入单输出的长短期记忆(LSTM)网络结构中,提取地震事件分类的动态特征。随后,我们通过两个完全连接的层和softmax函数进行地震事件分类。国内外具有代表性的地震数据库实验结果表明,该模型为各种地震事件分类提供了一种有效的结构。
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引用次数: 0
A study on threshold detection algorithm for adaptive transmission in underwater acoustic communication 水声通信中自适应传输阈值检测算法研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2020-11-01 DOI: 10.7776/ASK.2020.39.6.585
Jiwon Kim
The adaptive transmission techniques are efficient method for underwater acoustic communication to improve the system efficiency by varying transmission parameters according to channel conditions. In this paper, we construct four transmission modes with different data rates using the convolutional codes, which is freely set to size of information bits. On the receiver side, one critical component of adaptive system is to find which mode has best performance. In this paper, we proposed threshold detection algorithm to decide appropriate mode and applied turbo equalization method based on BCJR decoder in order to improve performance. We analyzed the performance of four modes based on threshold detection algorithm through the lake experiment.
自适应传输技术是一种有效的水声通信方法,通过根据信道条件改变传输参数来提高系统效率。在本文中,我们使用卷积码构建了四种具有不同数据速率的传输模式,卷积码可以自由设置为信息比特的大小。在接收端,自适应系统的一个关键组成部分是找出哪种模式具有最佳性能。在本文中,我们提出了阈值检测算法来确定合适的模式,并应用了基于BCJR解码器的turbo均衡方法来提高性能。通过lake实验,分析了四种基于阈值检测算法的模式的性能。
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引用次数: 3
期刊
Journal of the Acoustical Society of Korea
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