Page 170 - 《应用声学》2020年第3期
P. 170
490 2020 年 5 月
gineering University, 2018, 39(4): 635–643. [100] 张咏鸥, 张涛, 刘继明, 等. 基于 Lighthill 声类比的流激噪声
[96] 王顺杰, 王易川, 戴卫国, 等. 片空化状态下对转螺旋桨噪声 三维计算及验证 [J]. 舰船科学技术, 2014, 36(9): 55–59, 64.
特性仿真分析 [J]. 船舶力学, 2014, 18(7): 778–785. Zhang Yongming, Zhang Tao, Liu Jiming, et al. Three
Wang Shunjie, Wang Yichuan, Dai Weiguo, et al. Nu- dimensional simulation and validation of the flow-induced
merical analysis for sheet cavitation noise characteristic noise based on Lighthill’s acoustic analogy theory[J]. Ship
of countra-rotating propeller[J]. Journal of Ship Mechan- Science and Technology, 2014, 36(9): 55–59, 64.
ics, 2014, 18(7): 778–785. [101] Oberai A A, Ronaldkin F, Hughes T J R. Computational
[97] 杨琼方, 王永生, 张明敏. 潜艇涡量场和流噪声等效声中心的 procedures for determining structural-acoustic response
数值预报 [J]. 华中科技大学学报 (自然科学版), 2012, 40(5): due to hydrodynamic sources[J]. Computer Methods in
64–70. Applied Mechanics and Engineering, 2000, 190(3/4):
Yang Qiongfang, Wang Yongsheng, Zhang Mingmin. Nu- 345–361.
merical simulation of vorticity field and determination of [102] 蒋涛, 马军, 张萌. 基于大涡模拟的潜艇流噪声预测技术 [J].
equivalent acoustic source of flow noises for submarine[J]. 海军工程大学学报, 2013, 25(6): 64–68.
Journal of Huazhong University of Science and Technol- Jiang Tao, Ma Jun, Zhang Meng. Prediction of submarine
ogy(Natural Science Edition), 2012, 40(5): 64–70. hydrodynamic noise by using large eddy simulation[J].
[98] 江文成, 张怀新, 孟堃宇. 基于边界元理论求解水下潜艇 Journal of Naval University of Engineering, 2013, 25(6):
流噪声的研究 [J]. 水动力学研究与进展 A 辑, 2013, 28(4): 64–68.
453–459. [103] 吴秋云, 朱光, 刘玉红, 等. 水下航行器声通讯安装结构涡流
Jiang Wencheng, Zhang Huaixin, Meng Kunyu. Re- 噪声分析 [J]. 天津大学学报, 2012, 45(10): 881–887.
search on the flow noise of underwater submarine based Wu Qiuyun, Zhu Guang, Liu Yuhong, et al. Analy-
on boundary element method[J]. Chinese Journal of Hy- sis of vortex noise generated by acoustic communication
drodynamics, 2013, 28(4): 453–459. mounted on autonomous underwater vehicle[J]. Journal of
[99] 陈力. 基于格子 Boltzmann 方法的水下流噪声数值预报方法 Tianjin University, 2012, 45(10): 881–887.
研究 [D]. 武汉: 华中科技大学, 2013.