There is a widely accepted conclusion that the wall roughness do not always enhance the heat transport of the turbulent thermal convection. In this paper, the heat transfer efficiency is statistically investigated from the perspective of turbulent structure. The effect of turbulent structure on the heat transfer of Rayleigh-Benard convection with triangular rough element on the top and bottom plates is numerically simulated by a lattice Boltzmann method. We use a clustering method to identify complex turbulent structures associated with intense events. The reduction of the Nusselt number is obtained for small roughness height H/L, while the enhancement of heat transport appears for large H/L. For the large H/L case, the positive temperature structures T-cp occupying the negative heat transfer events < Tv >(n) reduce the efficiency of the heat transfer. On the contrary, the negative temperature turbulent structures T-cn boost the heat transfer. By analyzing the conditional average field, we found that the enhancement of the heat transfer for large H/L cases is due to that the negative temperature structures play a dominant role. For small H/L cases, the positive temperature structures T-cp inhibit the heat transfer. Furthermore, the more positive and negative temperature structures for large H/L cases are generated near the solid wall and the corner of the box. The physical explanation for the Nu enhancement is that the more secondary vortices are generated by the interaction of these turbulent structures and the rough wall, leading to more plumes ejected from the boundary layers to the bulk.
机构:
Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
Shanghai Univ, Shanghai Key Lab Mech Energy Engn, Shanghai 200072, Peoples R ChinaShanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
Zhu, Xu
Jiang, Lin-Feng
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Energy & Power Engn, Ctr Combust Energy, Key Lab Thermal Sci & Power Engn,Minist Educ, Beijing 100084, Peoples R ChinaShanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
Jiang, Lin-Feng
Zhou, Quan
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
Shanghai Univ, Shanghai Key Lab Mech Energy Engn, Shanghai 200072, Peoples R ChinaShanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
Zhou, Quan
Sun, Chao
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Energy & Power Engn, Ctr Combust Energy, Key Lab Thermal Sci & Power Engn,Minist Educ, Beijing 100084, Peoples R ChinaShanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
机构:
Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA
Max Planck Inst Dynam & Self Org MPIDS, D-37077 Gottingen, GermanyUniv Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA
Weiss, Stephan
Wei, Ping
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USAUniv Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA
Wei, Ping
Ahlers, Guenter
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USAUniv Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA
机构:
Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China
Yang, HX
Zhu, ZJ
论文数: 0引用数: 0
h-index: 0
机构:Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China