Yuefei Liu
- Bridge monitoring data processing and prediction based on information entropy. Dans: Structures, v. 66 (août 2024). (2024):
- Dynamic serviceability and safety reliability analysis of aging PC girder bridges with non-prestressed reinforcement considering concrete shrinkage, creep and stochastic vehicle load flows. Dans: Structures, v. 64 (juin 2024). (2024):
- Dynamic reliability analysis of the existing bridges based on probability density evolution method. Dans: Structures, v. 57 (novembre 2023). (2023):
- Time-Dependent Reliability Analysis of RC Bridges Considering Shrinkage, Creep, Resistance Degradation, and Vehicle Load Flows. Dans: Advances in Civil Engineering, v. 2023 (février 2023). (2023):
- Time-variant reliability analysis of simply supported PC girder bridges considering shrinkage, creep, resistance degradation and vehicle load flows. Dans: Structures, v. 56 (octobre 2023). (2023):
- Use of monitoring extreme strain data for failure probability analysis of concrete bridge girder: An optimal vine Gaussian-copula model. Dans: Structures, v. 44 (octobre 2022). (2022):
- (2021): Dynamic Reliability Prediction of Bridges Based on Decoupled SHM Extreme Stress Data and Improved BDLM. Dans: Advances in Civil Engineering, v. 2021 (janvier 2021).
- Vine Copula Data Fusion for Failure Probability Analysis of Steel Bridge Girder Section. Dans: Journal of Bridge Engineering (ASCE), v. 26, n. 6 (juin 2021). (2021):
- (2021): BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses. Dans: Advances in Civil Engineering, v. 2021 (janvier 2021).
- Bayesian prediction of bridge extreme stresses based on DLTM and monitoring coupled data. Dans: Structural Health Monitoring, v. 19, n. 2 (septembre 2018). (2018):
- (2020): Incorporation of Structural Health Monitoring Coupled Data in Dynamic Extreme Stress Prediction of Steel Bridges Using Dynamic Coupled Linear Models. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).
- Dynamic reliability prediction of bridges based on nonlinear MGPF algorithm and SHM data. Dans: Construction and Building Materials, v. 155 (novembre 2017). (2017):