您当前的位置：
首页 >
文章列表页 >
Multi⁃process Bayesian dynamic combinatorial prediction of time⁃variant reliability for bridges
更新时间：2025-05-26

    • Multi⁃process Bayesian dynamic combinatorial prediction of time⁃variant reliability for bridges

    • “In the field of bridge health monitoring, experts have established a multi process Bayesian dynamic linear model based on monitoring information, providing a theoretical basis for predicting structural reliability.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 8, Pages: 2332-2338(2023)
    • 作者机构：

      1.兰州大学 西部灾害与环境力学教育部重点实验室， 兰州 730013

      2.兰州大学 土木工程与力学学院，兰州 730013

    • DOI：10.13229/j.cnki.jdxbgxb.20220334    

      CLC： TU391;TU392.5

    • Received：29 March 2022，

      Published：01 August 2023

    移动端阅览

  • FAN Xue-ping,ZHOU Heng,LIU Yue-fei.Multi⁃process Bayesian dynamic combinatorial prediction of time⁃variant reliability for bridges[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(08):2332-2338. DOI： 10.13229/j.cnki.jdxbgxb.20220334.

  •  
  •  

0

Views

8

下载量

1

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Shear resistance of UHPC⁃NC planting bar interface
Damage mechanism of FRP reinforced concrete under alkali freezing coupling effect
Dynamic prediction of bridge coupled extreme stresses produced by temperature and vehicle loads
Prediction of high strength concrete creep based on parametric MIC analysis and machine learning algorithm
Analytical solution of thrust influence line of variable section two-hinged arch and application of damage identification

Related Author

HE Hua-nan
WU Qi-ze
ZHANG Xiao
SUN Song
LI Bing
ZHANG Xuan-yi
XU Wen-yuan
LI Wei

Related Institution

Liaoning Provincial Transportation Planning and Design Institute Co.， Ltd.
Tengzhou Housing and Urban-Rural Development Bureau
State Key Laboratory of Coastal and Offshore Engineering， Dalian University of Technology
School of Civil Engineering and Transportation， Northeast Forestry University
Key Laboratory of Mechanics on Disaster and Environment in Western China of the Ministry of Education， Lanzhou University
0