Identification of Seismic Dominant Modes for Long-span Low-pylon Cable-stayed Bridge of High Speed Railway

XIE Mingzhi, YANG Yongqing, ZHANG Ming, ZHAO Jingang, LI Xiaobin, ZHENG Kechuan

Journal of Railway Engineering Society ›› 2020, Vol. 37 ›› Issue (7) : 50-56.

PDF(732 KB)
PDF(732 KB)
Journal of Railway Engineering Society ›› 2020, Vol. 37 ›› Issue (7) : 50-56.
Main Line: Bridge Engineering

Identification of Seismic Dominant Modes for Long-span Low-pylon Cable-stayed Bridge of High Speed Railway

  • XIE Mingzhi1, YANG Yongqing1, ZHANG Ming1, ZHAO Jingang2, LI Xiaobin1, ZHENG Kechuan3
Author information +
History +

Abstract

Research purposes: In order to prove the seismic response characteristics of low-pylon cable-stayed bridge of high speed railway, the (90+180+90) m low-pylon cable-stayed bridge was taken as a case study. Based on theoretical derivation and nonlinear finite element analysis, the average modal strain energy ratio was used as an indicator to identify the dominant modes of the bridge under earthquake, and its dynamic characteristics were also studied.
Research conclusions: (1) The average modal strain energy ratio can consider both the structure and ground motion characteristics. It can be used as an index for identifying the vibration mode of low-pylon cable-stayed bridge during seismic analysis with high efficiency and accuracy. (2) The dominant modes of the bridge with support system in x and z directions are more sensitive than that in y direction, which shows that the dynamic effect of the structure in these two directions is more obvious. (3) By comparing the mode response spectrum method and time history analysis, it can be concluded that the combination of dominant modes can meet the actual engineering needs, and the identification of dominant modes of bridges is of great significance for mastering the seismic response characteristics of structures, which can provide the basis for earthquake damage analysis and bridge seismic isolation design.

Key words

bridge engineering / long-span low-pylon cable-stayed bridge / high-speed railway / dominant modes / average modal strain energy ratio

Cite this article

Download Citations
XIE Mingzhi, YANG Yongqing, ZHANG Ming, et al. Identification of Seismic Dominant Modes for Long-span Low-pylon Cable-stayed Bridge of High Speed Railway[J]. Journal of Railway Engineering Society, 2020, 37(7): 50-56

References

[1] 谢文,孙利民. 桩–土–斜拉桥动力相互作用体系振动反应特性试验研究[J].岩土工程学报,2019(7):1319-1328.
Xie Wen, Sun Limin. Experimental Studies on Seismic Response Characteristics of Dynamic Interaction System of Pile-Soil-Cable-Stayed Bridges[J]. Chinese Journal of Geotechnical Engineering, 2019(7):1319-1328.
[2] 陈旭,李建中,刘笑显. 墩身高阶振型对高墩地震反应影响[J].同济大学学报:自然科学版,2017(2):159-166.
Chen Xu, Li Jianzhong, Liu Xiaoxian. Seismic Performance of Tall Piers Influenced by Higher-Mode Effects of Piers[J]. Journal of Tongji University:Natural Science,2017(2):159-166.
[3] Zhong Jie, Zhang Junping, Zhi Xudong, etc. Identification of Dominant Modes of Single-layer Reticulated Shells under Seismic Excitations[J]. Thin-Walled Structures, 2018(127):676–687.
[4] 陈洋洋,崔杰,刘博,等. 高墩梁桥的水平向主导振型理论分析[J].振动与冲击,2016(12):13-21.
Chen Yangyang, Cui Jie, Liu Bo, etc. A Theoretical Study on the Horizontal Dominant Vibration Mode of a Girder Bridge with Tall Piers[J]. Journal of Vibration and Shock,2016(12):13-21.
[5] 王巍. 高速铁路大跨度斜拉桥运营性能检定技术探讨[J]. 铁道学报,2018(1):103-110.
Wang Wei. Discussion on Rating Technology for Operation Performance of High-speed Railway Long Span Cable-stayed Bridge[J]. Journal of the China Railway Society,2018(1):103-110.
[6] R.W. Clough, J. Penzien. Dynamics of Structures.Second Edition[M]. McGraw-Hill, New York, 1993.
[7] 陈志伟,蒲黔辉,李晰,等. 行波效应对大跨连续刚构桥易损性影响分析[J].西南交通大学学报,2017(1):23-29.
Chen Zhiwei, Pu Qianhui, Li Xi, etc. Fragility Analysis of Large-Span Continuous Rigid Bridge Considering Wave Passage Effect[J].Journal of Southwest Jiaotong University,2017(1):23-29.
[8] 钟杰. 网壳结构的概率地震易损性分析[D]. 哈尔滨:哈尔滨工业大学,2016.
Zhong Jie. Probabilistic Seismic Fragility Analysis of Reticulated Shells[D]. Harbin: Harbin Institute of Technology,2016.
PDF(732 KB)

Accesses

Citation

Detail

Sections
Recommended

/