Generalized bridge network performance analysis with correlation and time-variant reliability

被引:41
|
作者
Bocchini, Paolo [1 ]
Frangopol, Dan M. [1 ]
机构
[1] Lehigh Univ, Dept Civil & Environm Engn, Adv Technol Large Struct Syst ATLSS Engn Res Ct, Lmbt Labs, Bethlehem, PA 18015 USA
基金
美国国家科学基金会;
关键词
Bridge network; Transportation network; Life-cycle; Time-variant reliability; MAINTENANCE;
D O I
10.1016/j.strusafe.2011.02.002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A novel approach and framework for the analysis of bridge networks is presented. The goal of the analysis is to assess the life-cycle performance of the network and its time-variant reliability. The proposed approach combines three important features that determine its ability to estimate with accuracy and robustness the reliability of a network along its life-cycle. The first one is that the reliability of the individual bridges is modeled as time-variant, due to the deterioration of their structural components. The network performance analysis is repeated for several time instants, with the relative reliability of the bridges. Therefore, the network performance indicators are also time-variant. In this way, the proposed procedure can be used as a basic tool for maintenance planning at the network level. The second asset is that the proposed framework takes into account complex (i.e. "generalized") network layouts, not necessarily describable using series, parallel or series-parallel models. In fact, when all the possible traffic flows in a network and all the possible trip origins and destinations are considered, it is not feasible, in general, to model the network with a simple scheme. In the present paper, techniques derived from transportation engineering for the traffic flow distribution and assignment are used. The third feature is that the proposed approach considers a correlation structure among the states (in/out of service) of the various bridges of the network. In fact, bridges associated with the same network are likely to share similar characteristics and external loads. Therefore, a correlation structure for the service state of individual bridges is estimated and implemented in the analysis. A case study involving a transportation network with fourteen bridges is presented as a numerical application. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:155 / 164
页数:10
相关论文
共 50 条
  • [41] Time-variant reliability analysis of a continuous system with strength deterioration based on subset simulation
    Xi-Nong En
    Yi-Min Zhang
    Xian-Zhen Huang
    Advances in Manufacturing, 2019, 7 : 188 - 198
  • [42] Efficient time-variant reliability analysis through approximating the most probable point trajectory
    Zhang, Yunwei
    Gong, Chunlin
    Li, Chunna
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 63 (01) : 289 - 309
  • [43] Time-variant reliability calculation and risk analysis for salt rock gas storage during operation time
    Jia Chao
    Liu Jia-tao
    Zhang Qiang-yong
    Shen Xin
    Li Shu-cai
    Liu Jian
    Yang Chun-he
    ROCK AND SOIL MECHANICS, 2011, 32 (05) : 1479 - 1484
  • [44] Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model
    Qian, Hua-Ming
    Huang, Hong-Zhong
    Wei, Jing
    ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 2023, 9 (01):
  • [45] A novel single-loop procedure for time-variant reliability analysis based on Kriging model
    Qian, Hua-Ming
    Huang, Hong-Zhong
    Li, Yan-Feng
    APPLIED MATHEMATICAL MODELLING, 2019, 75 : 735 - 748
  • [46] Time-variant reliability analysis of widened deteriorating prestressed concrete bridges considering shrinkage and creep
    Tu, Bing
    Fang, Zhi
    Dong, You
    Frangopol, Dan M.
    ENGINEERING STRUCTURES, 2017, 153 : 1 - 16
  • [47] Time-variant reliability analysis using phase-type distribution-based methods
    Li, Junxiang
    Guo, Xiwei
    Cao, Longchao
    Zhang, Xinxin
    ADVANCES IN ENGINEERING SOFTWARE, 2024, 198
  • [48] A Time-Variant Reliability Modeling and Analysis Method of Multi-State Complex Electromechanical System
    Wang, Qian
    Zhang, Jianguo
    Kan, Linjie
    Wang, Pidong
    2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2015, : 1718 - 1722
  • [49] A general solution framework for time-variant reliability based design optimization
    Jiang, C.
    Fang, T.
    Wang, Z. X.
    Wei, X. P.
    Huang, Z. L.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 323 : 330 - 352
  • [50] Time-variant reliability assessment for multiple failure modes and temporal parameters
    Yu, Shui
    Wang, Zhonglai
    Meng, Debiao
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2018, 58 (04) : 1705 - 1717