Home | About Journal  | Editorial Board  | Instruction | Subscription | Advertisement | Message Board  | Contact Us | 中文
MODERN TUNNELLING TECHNOLOGY 2024, Vol. 61 Issue (3) :53-60    DOI:
Current Issue | Next Issue | Archive | Adv Search << [an error occurred while processing this directive] | [an error occurred while processing this directive] >>
Study on the Flow Characteristics and Local Loss Characteristics of the Confluence Segment of Bifurcate Tunnel
(1. Center for Balance Architecture, Zhejiang University, Hangzhou 310007; 2. Key Laboratory of Offshore Geotechnical and Material Engineering of Zhejiang Province, Hangzhou 310058; 3. Zhejiang University Zhongyuan Institute, Zhengzhou 450000;4. Highway and Transportation Management Center of Ninghai County, Ningbo 315600;5. School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065)
Download: PDF (4361KB)   HTML (1KB)   Export: BibTeX or EndNote (RIS)      Supporting Info
Abstract Presence of entrance ramp will lead to air confluence in the tunnel, so understanding the flow characteris? tics and loss characteristics of air in the confluence segment is a prerequisite for ventilation design of a bifurcate tunnel. For a bifurcate tunnel with 5°~15° included angle, the CFD method and scale model are used in the experimental study on how the confluence ratio q and included angle θ will impact the air flow and local loss in the confluence segment. As the results indicate: As q increases, the local loss coefficient ξ21 of the main line quickly decreases,while the local loss coefficient ξ31 of the ramp first increases quickly and then stabilizes. Before confluence, if the air volume ratio Q between the main line and ramp is greater than the sectional area ratio φ between them, ξ21 is mainly affected by the flow line bending, and ξ31 is mainly affected by the jet flow pressurization; if Q < φ, the main controlling factors of ξ21 and ξ31 are interchanged. If q is small, ξ21 and ξ31 will essentially remain unchanged even when the confluence included angle θ changes; if q is big, then as θ increases, ξ21 essentially remains unchanged, while ξ31 decreases. A semi-empirical formula is proposed that can accurately predict the local loss coefficient of the confluence segment of a bifurcate tunnel with 5°~15° included angle. This formula fills the gap in the design theory for confluence ventilation of bifurcate tunnel.
Service
Email this article
Add to my bookshelf
Add to citation manager
Email Alert
RSS
Articles by authors
KeywordsBifurcate tunnel   Confluence segment   CFD   Scale model test   Local loss   Prediction model     
Abstract: Presence of entrance ramp will lead to air confluence in the tunnel, so understanding the flow characteris? tics and loss characteristics of air in the confluence segment is a prerequisite for ventilation design of a bifurcate tunnel. For a bifurcate tunnel with 5°~15° included angle, the CFD method and scale model are used in the experimental study on how the confluence ratio q and included angle θ will impact the air flow and local loss in the confluence segment. As the results indicate: As q increases, the local loss coefficient ξ21 of the main line quickly decreases,while the local loss coefficient ξ31 of the ramp first increases quickly and then stabilizes. Before confluence, if the air volume ratio Q between the main line and ramp is greater than the sectional area ratio φ between them, ξ21 is mainly affected by the flow line bending, and ξ31 is mainly affected by the jet flow pressurization; if Q < φ, the main controlling factors of ξ21 and ξ31 are interchanged. If q is small, ξ21 and ξ31 will essentially remain unchanged even when the confluence included angle θ changes; if q is big, then as θ increases, ξ21 essentially remains unchanged, while ξ31 decreases. A semi-empirical formula is proposed that can accurately predict the local loss coefficient of the confluence segment of a bifurcate tunnel with 5°~15° included angle. This formula fills the gap in the design theory for confluence ventilation of bifurcate tunnel.
KeywordsBifurcate tunnel,   Confluence segment,   CFD,   Scale model test,   Local loss,   Prediction model     
Cite this article:   
.Study on the Flow Characteristics and Local Loss Characteristics of the Confluence Segment of Bifurcate Tunnel[J]  MODERN TUNNELLING TECHNOLOGY, 2024,V61(3): 53-60
URL:  
http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2024/V61/I3/53
 
No references of article
[1] WANG Chengzhen1 DING Wantao2,3 YU Wenduan1 WANG Zhicheng1 SUN Tengyun1 WANG Zhongrong2.Development and Application of Slurry Flow Model for Slurry Shield Tunnelling Based on BP Modified Rheological Model[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(3): 194-201
[2] LIU Hongzhi1 XU Shankun1 GUO Yidong2,3 FANG Yingran2,3 LI Xinggao2,3.Analysis of the Effect of Slurry Rheological Model on the Pressure Loss Characteristics of Slurry Discharge Pipe of Slurry Shield[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(1): 182-189
[3] ZHU Kai1,2 YANG Wenjing1 ZHANG Qionghua3 LIU Bin4 WANG Qiang1 ZHANG Xin5 WU Ke2,6,7.A Study on Diffusion Characteristics and Crossflow Mechanism of Pollutants at the Portals of Highway Tunnel Group[J]. MODERN TUNNELLING TECHNOLOGY, 2023,60(2): 212-222
[4] LI Weilin1 ZHANG Guang1 ZHU Yingwei1 HU Shaohua1,2.A 3D Numerical Simulation Study on the Ventilation of T-Shaped Tunnels with Different Bifurcation Angles during Construction[J]. MODERN TUNNELLING TECHNOLOGY, 2022,59(4): 158-166
[5] SHI Youzhi1 HONG Jiaoli2 LIN Shuzhi3 XU Jianning4.Study on State Parameter Control of Intake Air in Utility Tunnels Based on BB-MOPSO[J]. MODERN TUNNELLING TECHNOLOGY, 2022,59(1): 156-163
[6] CHEN Yan1 WANG Yuhao1 FANG Yong1 XU Gongyun1 ZHOU Kaige1 LIU Sijin2.Laboratory Experimental Study on the Wear of EPB Shield Cutting Tools in Sandy Stratum[J]. MODERN TUNNELLING TECHNOLOGY, 2021,58(5): 159-166
[7] ZOU Pengxu1,2 LIU Mengyuan1,2 CHEN Liangzhi1,.Study on the Hydrodynamic Characteristics of the Coupling System of Submerged Floating Tunnel Tubes and Anchor Cables under Wave Action[J]. MODERN TUNNELLING TECHNOLOGY, 2021,58(3): 154-162
[8] ZHOU Zhong CHEN Yun MIAO Linwu. Study of Equivalent Layered Method Based Prediction Model for Deformations Caused by Construction of New Tunnels Undercrossing Existing Tunnels[J]. MODERN TUNNELLING TECHNOLOGY, 2020,57(5): 99-103
[9] SHEN Xiang1 YUAN Dajun2 WU Jun3 FU Yanbin1.Analysis and Prediction of Driving Parameters of Shield Tunnelling in Complex Strata[J]. MODERN TUNNELLING TECHNOLOGY, 2020,57(5): 160-166
[10] YAN Changbin JIANG Xiaodi.Prediction Model of TBM Net Advance Rate Based on Parameters of Rock Mass and Tunnelling[J]. MODERN TUNNELLING TECHNOLOGY, 2020,57(2): 26-33
[11] LI Jie1 ZHANG Bin1 FU Ke1 MA Chao1 GUO Jingbo1 NIU Decao2.Site Data Based Prediction of Shield Driving Performance in Compound Strata[J]. MODERN TUNNELLING TECHNOLOGY, 2019,56(4): 97-104
[12] CHEN Zhimin1,2 YU Yunyan1,2 LI Guoliang3 ZHAO De′an4.Deformation Potential of the Guanjiao Tunnel Based on Original Geo-stress[J]. MODERN TUNNELLING TECHNOLOGY, 2018,55(4): 33-41
[13] FU Helin1,2 ZHANG Jiabing1,2 HUANG Zhen1,2 SHI Yue1,2 WANG Jing1,2 XING Xuesheng1,2.Prediction and Analysis of Ground Displacement and Stress Caused by the Excavation of a Shallow-Buried Shield Tunnel in a Compound Stratum[J]. MODERN TUNNELLING TECHNOLOGY, 2017,54(4): 97-106
[14] .A Prediction Model for Cutter Wearing Based on Driving Parameters[J]. MODERN TUNNELLING TECHNOLOGY, 2017,54(3): 155-161
[15] ZHU He-Yi- 1 Yang-Yan-Dong- 2 Chen- Kui.Breaking Force Derivation and Wear Rate Forecast of Shield Disc Cutters[J]. MODERN TUNNELLING TECHNOLOGY, 2016,53(5): 131-136
Copyright 2010 by MODERN TUNNELLING TECHNOLOGY