Personal Information|
Name: Xueping Fan
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Date of Birth: Mar. 10, 1983
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Nationality: China
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Institution: College of Civil Engineering and Mechanics, Lanzhou University
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Address: 222 South Tianshui Road, Lanzhou 730000, China
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Tel: +86 15101233542
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Email: fanxp@lzu.edu.cn
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Education
Sept. 2010-Jul. 2014 Ph.D. in Engineering Mechanics, School of Civil Engineering, Harbin Institute of Technology, Harbin, China
Supervisor: Prof. Guangyuan Wang and Prof. Dagang Lü
Sept. 2008-Sept. 2010 M.E. in Structural Engineering, School of Civil Engineering, Harbin Institute of Technology, Harbin, China
Supervisor: Prof. Dagang Lü
Sept. 2004-Jul. 2008 B.E. in Civil Engineering, School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China
Appointments
May 2017-present Associate Professor, College of Civil Engineering and Mechanics,
Lanzhou University, Lanzhou, China
Jul. 2015-Apr. 2017 Lecturer, College of Civil Engineering and Mechanics,
Lanzhou University, Lanzhou, China
Jul. 2014-Jul. 2015 Research assistant, School of Civil Engineering, Harbin Institute of
Technology, Harbin, China
Research Areas
Bridge health monitoring data processing; Bridge safety assessment and prognosis; Bridge damage assessment and prognosis
Members and Activities
Oct. 2010-Present Member of IABMAS
Oct. 2010-Present Member of IALCCE
Research Grants
Jul. 2015-present: Lanzhou University
2017.01-2019.12 Research on dynamic reliability prediction method of existing bridges based on information updating and fusion, NSFC, PI
Refereed Publications
1. Fan Xueping, Liu Yuefei. Time-variant reliability prediction of bridge system based on BDGCM and SHM data[J]. Structural Control and Health Monitoring, 2018, 25(7): 1-16. (SCI, IF=3.622)
2. Fan Xueping, Liu Yuefei. A new dynamic prediction approach for the reliability indices of bridge members based on SHM data[J]. ASCE Journal of Bridge Engineering, 2018, In Production, DOI: 10.1061/(ASCE)BE.1943-5592.0001321 (SCI, IF=1.454)
3. Fan Xueping. Bridge extreme stress prediction based on Bayesian dynamic linear models and non-uniform sampling[J]. Structural Health Monitoring-An International Journal, 2017,16(3): 253-261. (SCI, IF=3.798)
4. Liu Yuefei, Fan Xueping. Dynamic reliability prediction of bridges based on nonlinear MGPF algorithm and SHM data[J]. Construction and Building Materials, 2017, 155:1242-1249. (SCI, IF=3.485)