Xueping Fan 
- (2023): Dynamic reliability analysis of the existing bridges based on probability density evolution method. In: Structures, v. 57 (November 2023).
- (2023): Time-Dependent Reliability Analysis of RC Bridges Considering Shrinkage, Creep, Resistance Degradation, and Vehicle Load Flows. In: Advances in Civil Engineering, v. 2023 (Februar 2023).
- (2023): Time-variant reliability analysis of simply supported PC girder bridges considering shrinkage, creep, resistance degradation and vehicle load flows. In: Structures, v. 56 (Oktober 2023).
- (2022): Use of monitoring extreme strain data for failure probability analysis of concrete bridge girder: An optimal vine Gaussian-copula model. In: Structures, v. 44 (Oktober 2022).
- (2021): Dynamic Reliability Prediction of Bridges Based on Decoupled SHM Extreme Stress Data and Improved BDLM. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2021): Vine Copula Data Fusion for Failure Probability Analysis of Steel Bridge Girder Section. In: Journal of Bridge Engineering (ASCE), v. 26, n. 6 (Juni 2021).
- (2021): BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2016): Bridge extreme stress prediction based on Bayesian dynamic linear models and non-uniform sampling. In: Structural Health Monitoring, v. 16, n. 3 (April 2016).
- (2018): Bayesian prediction of bridge extreme stresses based on DLTM and monitoring coupled data. In: Structural Health Monitoring, v. 19, n. 2 (September 2018).
- (2020): Incorporation of Structural Health Monitoring Coupled Data in Dynamic Extreme Stress Prediction of Steel Bridges Using Dynamic Coupled Linear Models. In: Advances in Civil Engineering, v. 2020 (Januar 2020).
- (2017): Dynamic reliability prediction of bridges based on nonlinear MGPF algorithm and SHM data. In: Construction and Building Materials, v. 155 (November 2017).
Structurae kooperiert mit
