Associate Professors

Xueping Fan

Name:Xueping Fan
Date of Birth:March 10, 1983
Nationality:China
Institution:College of Civil Engineering and Mechanics, Lanzhou University
Address:222 South Tianshui Road, Lanzhou 730000, Gansu Province, China
Tel:+86 15101233542
Fax:
Email:fanxp@lzu.edu.cn
Education
Sep 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 Lu
Sep 2008-Sep 2010 M.E. in Structural Engineering, School of Civil Engineering, Harbin Institute of Technology, Harbin, China
Supervisor: Prof. Dagang Lu
Sep 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
Visiting Positions
Members and Activities
Oct 2010-Present Member of IABMAS
Oct 2010-Present Member of IALCCE
Awards
Main Courses
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)