基于分子动力学模拟流体输运性质的稳定性分析

陈俊; 史琳; 王楠; 毕胜山

doi:10.7498/aps.60.126601

摘要

利用线性响应理论对Ar流体输运参数进行了分子动力学模拟,结果发现:导热系数和黏度会随着自相关积分函数积分时间的增加而产生剧烈波动,而扩散系数却相对稳定. 针对积分稳定性这一问题,对导热系数和黏度中的热流密度和应力张量进行了分解分析,发现含分子间作用力项是影响稳定性的最大因素. 从牛顿力学出发对作用力项的影响机理进行了分析,指明减小这种影响的最主要方法是使在体系进行统计输运参数前达到稳定平衡状态,即最小的预平衡步数应该满足使体系达到该状态下熵最大或者能量最低,并尽量减小温度对体系的影响. 同时,还对模拟盒尺寸、统计步长等因素对积分稳定性的影响进行了分析,给出了保持稳定性的建议.

关键词:

Abstract

The Green-Kubo time correlation function is used to predict fluid argon transport properties, such as diffusion coefficient, viscosity and thermal conductivity, through molecular dynamics simulations. The results show that the transport characteristics, especially the viscosity and thermal conductivity, fluctuate intensely during the simulations. The collective stress tensor is separated into two parts, one is due to the kinetic energy and the other is due to the pair virial function, and the collective heat flux vector is contributed from the kinetic energy, the intermolecular potential and the pair virial function. The results show that the transport characteristics, especially the viscosity and the thermal conductivity, fluctuate intensely during the simulations. The most important contribution to the viscosity and the thermal conductivity is from the autocorrelation of the virial term. The calculations indicate that a more compatible integration time step method is needed to reduce instabilities when the Green-Kubo time correlation is used to calculate the fluid transport parameters. Other factors which influence the stability are also discussed in the paper.

Keywords:

作者及机构信息

1.
清华大学热能工程系,热科学与动力工程教育部重点实验室,北京 100084;

2.
西安交通大学热流科学与工程教育部重点实验室,西安 710049

基金项目: 国家重点基础研究发展计划(批准号:2010CB227305)和国家自然科学基金(批准号:50976060)资助的课题.

Authors and contacts

1.
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China;

2.
Key Laboratory of Thermal Fluid Science and Engineering of Ministry of Education, Xi’an Jiaotong University, Xi’an 710049, China

参考文献

[1]	Kubo R 1958 J. Phys. Soc. Jpn. 12 570
[2]
[3]	Callen H B, Greene R F 1952 Phys. Rev. 83 702
[4]
[5]	Allen M P, Tildesley D J 1987 Computer Simulation of Liquids (Oxford: Clarendon Press)
[6]	Castai G, Ford J, Vivaldi F, Vissher W M 1984 Phys. Rev. Lett. 52 1861
[7]
[8]
[9]	Poetzsch R H, Bettger H 1994 Phys. Rev. B 50 15757
[10]
[11]	Schelling P K, Phillpot S R, Keblinski P 2002 Phys. Rev. B 65 144306
[12]	Li J, Porter L, Yip S 1998 J. Nucl. Mater. 255 139
[13]
[14]	Che J, Cagin T, Deng W, Goddard W A 2000 J. Chem. Phys. 113 6888
[15]
[16]	Bao W X, Zhu C C 2006 Acta Phys. Sin. 55 3552 (in Chinese) [保文星、朱长纯 2006 55 3552]
[17]
[18]	Ma W G, Wang H D, Zhang X, Takahashi K 2009 Chin. Phys. B 18 2035
[19]
[20]	Hou Q W, Cao B Y, Guo Z Y 2009 Acta Phys. Sin. 58 7809 (in Chinese) [侯泉文、曹炳阳、过增元 2009 58 7809]
[21]
[22]
[23]	Nieto-Draghi C, Avalos J B 2003 Mol. Phys. 101 2303
[24]
[25]	Wu G Q, Kong X R, Sun Z W, Wang Y H 2006 Acta Phys. Sin. 55 1 (in Chinese) [吴国强、孔宪仁、孙兆伟、王亚辉 2006 55 1]
[26]
[27]	Wang H F, Chu W G, Guo Y J, Jin H 2010 Chin. Phys. B 19 076501
[28]
[29]	Terao T, Mller-Plathe F 2005 J. Chem. Phys. 122 081103
[30]
[31]	Li H, Tang X F, Cao W Q, Zhang Q J 2009 Chin. Phys. B 18 287
[32]	Ungerer P, Nieto-Draghi C, Rousseau B, Ahunbay G, Lachet V 2007 J. Mol. Liq. 134 71
[33]
[34]	Eapen J, Li J, Yip S 2007 Phys. Rev. E 76 062501
[35]
[36]
[37]	Eapen J, Li J, Yip S 2007 Phys. Rev. Lett. 98 028302
[38]
[39]	Sarkar S, Selvam R P 2007 J. Appl. Phys. 102 074302
[40]
[41]	Marechal G, Ryckaert J P 1983 Chem. Phys. Lett. 101 548
[42]
[43]	Schoen M, Hoheisel C 1985 Mol. Phys. 56 563
[44]	Vogelsan R, Hoheisel C, Ciccotti G 1987 J. Chem. Phys. 86 6371
[45]
[46]	Davis P J, Evans D J 1995 J. Chem. Phys. 103 4261
[47]
[48]
[49]	McGaughey A J H, Kaviany M 2004 Int. J. Heat Mass Transfer 47 1799
[50]	Mahajan S S, Subbarayan G, Sammakia B G 2007 Phys. Rev. E 76 056701
[51]
[52]
[53]	Kurosaki K, Yano K, Yamada K, Uno M, Yamanaka S 2000 J. Alloys Compd. 311 305
[54]	Andrade J D, Stassen H 2004 J. Mol. Liq. 110 169
[55]
[56]
[57]	Kawamura T, Kangawa Y, Kakimoto K 2007 J. Cryst. Growth 298 251
[58]	Liu J F 2005 Ph. D. Dissertation (Chongqing: Chongqing University) (in Chinese) [刘娟芳 2005 博士学位论文 (重庆: 重庆大学)]
[59]
[60]	Mclinden M O, Klein S A, Lemmon E W, Peskin A P 2006 NIST Thermodynamic Properties of Refrigerants and Refrigerants Mixtures Database (Boulder: NIST Ste. Ref. Database Gaithersburg)
[61]

施引文献

[1]	Kubo R 1958 J. Phys. Soc. Jpn. 12 570
[2]
[3]	Callen H B, Greene R F 1952 Phys. Rev. 83 702
[4]
[5]	Allen M P, Tildesley D J 1987 Computer Simulation of Liquids (Oxford: Clarendon Press)
[6]	Castai G, Ford J, Vivaldi F, Vissher W M 1984 Phys. Rev. Lett. 52 1861
[7]
[8]
[9]	Poetzsch R H, Bettger H 1994 Phys. Rev. B 50 15757
[10]
[11]	Schelling P K, Phillpot S R, Keblinski P 2002 Phys. Rev. B 65 144306
[12]	Li J, Porter L, Yip S 1998 J. Nucl. Mater. 255 139
[13]
[14]	Che J, Cagin T, Deng W, Goddard W A 2000 J. Chem. Phys. 113 6888
[15]
[16]	Bao W X, Zhu C C 2006 Acta Phys. Sin. 55 3552 (in Chinese) [保文星、朱长纯 2006 55 3552]
[17]
[18]	Ma W G, Wang H D, Zhang X, Takahashi K 2009 Chin. Phys. B 18 2035
[19]
[20]	Hou Q W, Cao B Y, Guo Z Y 2009 Acta Phys. Sin. 58 7809 (in Chinese) [侯泉文、曹炳阳、过增元 2009 58 7809]
[21]
[22]
[23]	Nieto-Draghi C, Avalos J B 2003 Mol. Phys. 101 2303
[24]
[25]	Wu G Q, Kong X R, Sun Z W, Wang Y H 2006 Acta Phys. Sin. 55 1 (in Chinese) [吴国强、孔宪仁、孙兆伟、王亚辉 2006 55 1]
[26]
[27]	Wang H F, Chu W G, Guo Y J, Jin H 2010 Chin. Phys. B 19 076501
[28]
[29]	Terao T, Mller-Plathe F 2005 J. Chem. Phys. 122 081103
[30]
[31]	Li H, Tang X F, Cao W Q, Zhang Q J 2009 Chin. Phys. B 18 287
[32]	Ungerer P, Nieto-Draghi C, Rousseau B, Ahunbay G, Lachet V 2007 J. Mol. Liq. 134 71
[33]
[34]	Eapen J, Li J, Yip S 2007 Phys. Rev. E 76 062501
[35]
[36]
[37]	Eapen J, Li J, Yip S 2007 Phys. Rev. Lett. 98 028302
[38]
[39]	Sarkar S, Selvam R P 2007 J. Appl. Phys. 102 074302
[40]
[41]	Marechal G, Ryckaert J P 1983 Chem. Phys. Lett. 101 548
[42]
[43]	Schoen M, Hoheisel C 1985 Mol. Phys. 56 563
[44]	Vogelsan R, Hoheisel C, Ciccotti G 1987 J. Chem. Phys. 86 6371
[45]
[46]	Davis P J, Evans D J 1995 J. Chem. Phys. 103 4261
[47]
[48]
[49]	McGaughey A J H, Kaviany M 2004 Int. J. Heat Mass Transfer 47 1799
[50]	Mahajan S S, Subbarayan G, Sammakia B G 2007 Phys. Rev. E 76 056701
[51]
[52]
[53]	Kurosaki K, Yano K, Yamada K, Uno M, Yamanaka S 2000 J. Alloys Compd. 311 305
[54]	Andrade J D, Stassen H 2004 J. Mol. Liq. 110 169
[55]
[56]
[57]	Kawamura T, Kangawa Y, Kakimoto K 2007 J. Cryst. Growth 298 251
[58]	Liu J F 2005 Ph. D. Dissertation (Chongqing: Chongqing University) (in Chinese) [刘娟芳 2005 博士学位论文 (重庆: 重庆大学)]
[59]
[60]	Mclinden M O, Klein S A, Lemmon E W, Peskin A P 2006 NIST Thermodynamic Properties of Refrigerants and Refrigerants Mixtures Database (Boulder: NIST Ste. Ref. Database Gaithersburg)
[61]

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