Guo Junjun

Mr. Guo Junjun

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2020 in Soil Dynamics and Earthquake Engineering
Verified
Journal Article
Closed access
GJGuo Junjun
Guo Junjun
MAM. Shahria Alam
M. Shahria Alam
JWJingquan Wang
Jingquan Wang
SLShuai Li
Shuai Li
WYWancheng Yuan
Wancheng Yuan

1 December 2019 in Engineering Structures
Verified
Journal Article
Closed access
GJGuo Junjun
Guo Junjun
WYWancheng Yuan
Wancheng Yuan
XDXinzhi Dang
Xinzhi Dang
MAM. Shahria Alam
M. Shahria Alam

25 April 2023 in Engineering Structures
Verified
Journal Article
Closed access
GJGuo Junjun
Guo Junjun
KGKang Gao
Kang Gao
XDXinzhi Dang
Xinzhi Dang
Yue ZhengYue Zheng
Yue Zheng
HLHao Liang
Hao Liang

1 December 2022 in SoftwareX
Verified
Journal Article
Open access
GJGuo Junjun
Guo Junjun
AYAijun Ye
Aijun Ye
XWXiaowei Wang
Xiaowei Wang
ZGZhongguo Guan
Zhongguo Guan

1 March 2019 in Journal of Bridge Engineering
Verified
Journal Article
Closed access
GJGuo Junjun
Guo Junjun
JZJian Zhong
Jian Zhong
XDXinzhi Dang
Xinzhi Dang
WYWancheng Yuan
Wancheng Yuan
This paper presents a passive control device—multidirectional cable restrainer (MDCR)—and develops the fragility curves of a curved bridge with and without MDCR, respectively. Three-dimensional finite-element models with and without MDCR were established by OpenSees software. In order to consider ground motion uncertainty, 80 ground motion records were selected from the Pacific Earthquake Engineering Research (PEER) strong motion database. Meanwhile, the parameters of MDCR, such as initial slack and stiffness of cable and the incidence angle of the motions, were treated as random variables. The probabilistic capacity model of the pier with varying gravity force was established using the response surface method (RSM). System fragility curves of the bridge with and without MDCR were developed by Monte Carlo (MC) simulation, and the correlation of the bridge components was considered in the process of sampling. The results show that of the six intensity measures (IMs) considered, spectral acceleration at the period of 1 s (Sa10) is the optimal IM for the curved bridge prototype. In addition, piers are the least vulnerable component for the system with MDCR.

19 July 2022 in Buildings
Verified
Journal Article
Open access
PDF file
GJGuo Junjun
Guo Junjun
YGYitong Gu
Yitong Gu
WWWeihong Wu
Weihong Wu
SCShih-Yu Chu
Shih-Yu Chu
XDXinzhi Dang
Xinzhi Dang
Current studies lack probabilistic evaluations on the performance of fault-crossing bridges. This paper conducts seismic fragility analyses to evaluate the fragility of cable-stayed bridges with the effects of fault ruptures. Synthetic across-fault ground motions are generated using existing simulation methods for the low-frequency pulses and high-frequency residuals. Incremental dynamic analysis is utilized to generate the seismic responses of the bridge. The optimal intensity measure (IM) for a cable-stayed bridge that crosses a fault is identified based on the coefficient of determination (R2). Root-mean-square velocity (Vrms) is found to be the best IM for cable-stayed bridges traversed by fault ruptures, instead of the commonly used ones such as peak ground acceleration or velocity (PGA or PGV). Fragility curves for the critical components of fault-crossing cable-stayed bridges, including pylons, cables, and bearings, are developed using the IM of Vrms, and are subsequently compared with those for the cable-stayed bridge near faults. Results show that the bearings on transition piers are the most vulnerable component for fault-crossing cable-stayed bridges because of the rotation of their girder. Compared to cable-stayed bridges near faults, pylons and bearings are more vulnerable in the transverse direction for cable-stayed bridges crossing faults, whereas the vulnerability of cables is comparable.