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分形声学超材料结构设计与声学特性研究 学位论文
博士论文,北京: 中国科学院大学, 2020
Authors:  刘宇
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空间折叠  低频、宽频隔声  分形结构  双负特性  
Underwater acoustic metamaterial based on double Dirac cone characteristics in rectangular phononic crystals 期刊论文
CHINESE PHYSICS B, 2019, 卷号: 28, 期号: 12, 页码: 6
Authors:  Pei DL(裴东亮);  Yang T(杨洮);  Chen M(陈猛);  Jiang H(姜恒)
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double Dirac cone  topological edge state  rectangular phononic crystal  topological phase transition  
Tunable Dirac cones in two-dimensional acoustic metamaterials with matryoshka structure 期刊论文
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019, 卷号: 146, 期号: 1, 页码: 767-772
Authors:  Chen M(陈猛);  Xu WS(徐文帅);  Liu Y(刘宇);  Zhang MG;  Pei DL;  Jiang H(姜恒);  Wang YR(王育人)
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Acoustic valley edge states in a graphene-like system with sub-wavelength resonator 期刊论文
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019, 卷号: 146, 期号: 1, 页码: 736-741
Authors:  Jiang H(姜恒);  Chen M(陈猛);  Liu Y(刘宇);  Yang T(杨涛);  Xu WS(徐文帅);  Liu YH;  Zhang MG;  Wang YR(王育人)
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Analysis of Aerodynamic Noise Characteristics of High-Speed Train Pantograph with Different Installation Bases 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 11, 页码: 21
Authors:  Yao YF(姚永芳);  Sun ZX(孙振旭);  Yang GW(杨国伟);  Prapamonthon P
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high-speed train  pantograph  aerodynamic noise  large eddy simulation  acoustic finite element method  
柔性电子多层岛桥结构在高铁结构监测和检测中的理论与应用研究 学位论文
硕士论文,北京: 中国科学院大学, 2019
Authors:  尹世珍
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柔性电子,岛桥结构,高铁,气压传感器,超声检测  
基于浸入边界方法的复杂几何边界湍流壁面模化的大涡模拟 学位论文
博士论文,北京: 中国科学院大学, 2019
Authors:  时北极
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大涡模拟  浸入边界方法  壁模型  近壁速度重构模型  壁面滑移速度模型  体积力重构模型  
Superlattice in austenitic Ni-Mn-Ga shape memory microwires 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 777, 页码: 174-179
Authors:  Ding ZY;  Qi QL;  Wu D;  Liu JP;  Sun XM;  Cui YM;  Yue M;  Zhang Y;  Zhu J
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Shape memory alloys  Premartensitic phase  Micromodulated domain structure  Martensitic transformation  
页岩气开采中的若干力学前沿问题 期刊论文
力学进展, 2019, 卷号: 49, 期号: 00, 页码: 1-236
Authors:  刘曰武;  高大鹏;  李奇;  万义钊;  段文杰;  曾霞光;  李明耀;  苏业旺;  范永波;  李世海;  鲁晓兵;  周东;  陈伟民;  傅一钦;  姜春晖;  侯绍继;  潘利生;  魏小林;  胡志明;  端祥刚;  高树生;  沈瑞;  常进;  李晓雁;  柳占立;  魏宇杰;  郑哲敏
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页岩气  压裂  力学性质  数值模拟  监测技术  渗流  
Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 1, 页码: 58-65
Authors:  Zhang Z(张珍);  Song XD;  Ye SR;  Wang YW(王一伟);  Huang CG(黄晨光);  An YR;  Chen YS
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Deep neural network  channel flow  turbulence model  Reynolds stress