TY - JOUR
T1 - Modeling dynamic responses of a cross-river road shield tunnel under stochastic vehicle loads
AU - Li, Chendong
AU - Zhang, Wei
AU - Wang, Xiaomin
AU - Pan, Bo
AU - Zhu, Hong hu
AU - Spencer, Billie F.
N1 - The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. This study was financially supported by the National Science Foundation of China (grant numbers 40902076 and 41722209 ), the Natural Science Foundation of Jiangsu Province (grant number BK20170574 ) and, the Science and Technology Program of Suzhou (grant number SYG201713 ).
The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. This study was financially supported by the National Science Foundation of China (grant numbers 40902076 and 41722209), the Natural Science Foundation of Jiangsu Province (grant number BK20170574) and, the Science and Technology Program of Suzhou (grant number SYG201713). The authors declare that there are no competing interests regarding the publication of this paper.
PY - 2020/8
Y1 - 2020/8
N2 - Vehicle-induced dynamic loads are far more complex than those induced by trains because of their stochastic nature. In this study, we developed the stochastic dynamic vehicle load model and addressed a series of loading scenarios for a large road shield tunnel across the Yangtze River of China. The range analysis results show that, given the three factors influencing the dynamic responses of the tunnel, the pavement roughness plays a more important role than the vehicle type and running speed. The finite element model analysis shows that stress concentration occurs around the corbels fixed to the tunnel haunches; the stress amplitude of the soil responses, ranked in the descending order, is at the tunnel sides, under the tunnel bottom and above the tunnel, respectively. Under the stochastic vehicle loads, the amplitudes of the displacement of the road shield tunnel and the maximal settlement of the surrounding soils are basically one-tenth of those of the subway tunnel; the surrounding soil stress amplitude of the road shield tunnel is about one-third of that of the subway shield tunnel; while the structural stress amplitude of the road shield tunnel, focused around the corbels, are about 4 times of that of the subway shield tunnel. Those insights can be referred by the practitioners, especially those of the cross-river combined road-and-subway shield tunnels.
AB - Vehicle-induced dynamic loads are far more complex than those induced by trains because of their stochastic nature. In this study, we developed the stochastic dynamic vehicle load model and addressed a series of loading scenarios for a large road shield tunnel across the Yangtze River of China. The range analysis results show that, given the three factors influencing the dynamic responses of the tunnel, the pavement roughness plays a more important role than the vehicle type and running speed. The finite element model analysis shows that stress concentration occurs around the corbels fixed to the tunnel haunches; the stress amplitude of the soil responses, ranked in the descending order, is at the tunnel sides, under the tunnel bottom and above the tunnel, respectively. Under the stochastic vehicle loads, the amplitudes of the displacement of the road shield tunnel and the maximal settlement of the surrounding soils are basically one-tenth of those of the subway tunnel; the surrounding soil stress amplitude of the road shield tunnel is about one-third of that of the subway shield tunnel; while the structural stress amplitude of the road shield tunnel, focused around the corbels, are about 4 times of that of the subway shield tunnel. Those insights can be referred by the practitioners, especially those of the cross-river combined road-and-subway shield tunnels.
KW - FEM model
KW - Quarter-vehicle model
KW - Road shield tunnel
KW - Stress concentration
UR - https://www.scopus.com/pages/publications/85084953511
UR - https://www.scopus.com/pages/publications/85084953511#tab=citedBy
U2 - 10.1016/j.tust.2020.103432
DO - 10.1016/j.tust.2020.103432
M3 - Article
AN - SCOPUS:85084953511
SN - 0886-7798
VL - 102
JO - Tunnelling and Underground Space Technology
JF - Tunnelling and Underground Space Technology
M1 - 103432
ER -