TY - JOUR
T1 - Investigation on vibration behavior of a high-speed railway bridge based on monitoring data
AU - Zhu, Qingxin
AU - Wang, Hao
AU - Spencer, Billie F.
N1 - The authors would like to gratefully acknowledge the supports from the National Natural Science Foundation of China (Grant No. 51978155), the National Ten Thousand Talent Program for Young Top-notch Talents (Grant No. W03070080), the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant No. KYCX19_0095), the CSC Scholarship (Grant No. CSC201906090075), and the Fundamental Research Funds
The authors would like to gratefully acknowledge the supports from the National Natural Science Foundation of China (Grant No. 51978155), the National Ten Thousand Talent Program for Young Top-notch Talents (Grant No. W03070080), the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant No. KYCX19_0095), the CSC Scholarship (Grant No. CSC201906090075), and the Fundamental Research Funds for the Central Universities (Grant No. 2242022k30030).
for the Central Universities (Grant No. 2242022k30030).
PY - 2023/6
Y1 - 2023/6
N2 - Field monitoring techniques offer an attractive approach for understanding bridge behavior under in-service loads. However, the investigations on bridge behavior under high-speed train load using field monitoring data are limited. The focus of this study is to explore the structural behavior of an in-service long-span steel truss arch bridge based on field monitoring data. First, the natural frequencies of the structure, as well as the train driving frequencies, are extracted. Then, the train-induced bearing displacement and structural strain are explored to identify the effects of train loads and bearings. Subsequently, a sensitivity analysis is performed for the impact factor of strain responses with respect to the train speed, train weight, and temperature to identify the fundamental issues affecting these responses. Additionally, a similar sensitivity analysis is conducted for the peak acceleration. The results indicate that the friction force in bearings provides residual deformations when two consecutive trains are in opposite directions. In addition, the impact factor and peak acceleration are primarily affected by train speed, particularly near train speeds that result in the resonance of the bridge response. The results can provide additional insight into the behavior of the long-span steel truss bridges under in-service high-speed train loads.
AB - Field monitoring techniques offer an attractive approach for understanding bridge behavior under in-service loads. However, the investigations on bridge behavior under high-speed train load using field monitoring data are limited. The focus of this study is to explore the structural behavior of an in-service long-span steel truss arch bridge based on field monitoring data. First, the natural frequencies of the structure, as well as the train driving frequencies, are extracted. Then, the train-induced bearing displacement and structural strain are explored to identify the effects of train loads and bearings. Subsequently, a sensitivity analysis is performed for the impact factor of strain responses with respect to the train speed, train weight, and temperature to identify the fundamental issues affecting these responses. Additionally, a similar sensitivity analysis is conducted for the peak acceleration. The results indicate that the friction force in bearings provides residual deformations when two consecutive trains are in opposite directions. In addition, the impact factor and peak acceleration are primarily affected by train speed, particularly near train speeds that result in the resonance of the bridge response. The results can provide additional insight into the behavior of the long-span steel truss bridges under in-service high-speed train loads.
KW - displacement
KW - field monitoring data
KW - high-speed train
KW - impact factor
KW - long-span steel truss arch bridge
KW - peak acceleration
KW - strain
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U2 - 10.12989/sss.2023.31.6.585
DO - 10.12989/sss.2023.31.6.585
M3 - Article
AN - SCOPUS:85166391075
SN - 1738-1584
VL - 31
SP - 585
EP - 599
JO - Smart Structures and Systems
JF - Smart Structures and Systems
IS - 6
ER -