Full Text:   <4861>

Summary:  <1868>

CLC number: U44

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2015-06-12

Cited: 6

Clicked: 6597

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Cao Wang

http://orcid.org/0000-0002-2802-1394

Quan-wang Li

http://orcid.org/0000-0002-6967-1940

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2015 Vol.16 No.7 P.513-524

http://doi.org/10.1631/jzus.A1500018


A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges


Author(s):  Cao Wang, Quan-wang Li, A-ming Zou, Long Zhang

Affiliation(s):  Department of Civil Engineering, Tsinghua University, Beijing 100084, China

Corresponding email(s):   wangcao12@mails.tsinghua.edu.cn, li_quanwang@tsinghua.edu.cn

Key Words:  Time-dependent reliability, Aging bridges, Resistance deterioration, Auto-correlation, Deterioration model


Share this article to: More |Next Article >>>

Cao Wang, Quan-wang Li, A-ming Zou, Long Zhang. A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges[J]. Journal of Zhejiang University Science A, 2015, 16(7): 513-524.

@article{title="A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges",
author="Cao Wang, Quan-wang Li, A-ming Zou, Long Zhang",
journal="Journal of Zhejiang University Science A",
volume="16",
number="7",
pages="513-524",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1500018"
}

%0 Journal Article
%T A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges
%A Cao Wang
%A Quan-wang Li
%A A-ming Zou
%A Long Zhang
%J Journal of Zhejiang University SCIENCE A
%V 16
%N 7
%P 513-524
%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1500018

TY - JOUR
T1 - A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges
A1 - Cao Wang
A1 - Quan-wang Li
A1 - A-ming Zou
A1 - Long Zhang
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 7
SP - 513
EP - 524
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1500018


Abstract: 
Bridge resistance and reliability may deteriorate with time due to aggressive environmental conditions and increasing road freight volumes, resulting in an increase of potential economic loss. This is thus a great concern to decision-makers managing the bridges’ continued future service. Reasonable models of bridge resistance and applied loads are the fundamentals of accurate estimation/prediction of a bridge’s serviceability. In this paper, a new model for resistance deterioration is proposed, which enables the non-increasing property and auto-correlation in the stochastic deterioration process to be incorporated. To facilitate the practical application of the model, methods to determine its parameters using obtained data on structural resistance are developed and illustrated through simple numerical examples. time-dependent reliability analysis is conducted using the proposed resistance deterioration model based on Monte Carlo simulation, and the effect of auto-correlation in the deterioration process on structural time-dependent reliability is investigated.

This paper focuses on proposing a model for strength degradation of bridge structures by ensuring the non-decreasing nature of the deterioration problem (thereby respecting the physics of the problem), and incorporating autocorrelation in the deterioration process. The paper is technically sound, wherein all the equations have been well presented and explained. Additionally the inclusion of the derivations in the appendix is helpful for the detail. The application of the proposed methodology and calibration method using the numerical examples is also commendable.

用于桥梁时变可靠度分析的承载力衰减新模型

目的:提出能够反映劣化桥梁承载力的非增特性以及自相关性的承载力衰减新模型,并利用该模型进行结构可靠度分析。
创新点:提出描述劣化桥梁承载力衰减的新的随机过程模型,给出利用实测数据进行模型参数拟合的方法,并利用提出的衰减模型对劣化桥梁进行时变可靠度分析。
方法:采用Gamma过程描述承载力衰减的随机过程(公式7),并基于Monte Carlo模拟的方法研究承载力衰减过程的自相关性对可靠度结果的影响。如果将承载力衰减过程假定为完全相关的过程,则会低估结构的失效概率。

关键词:时变可靠度;劣化桥梁;衰减模型;自相关性

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AASHTO (American Association of State Highway and Transportation Officials), 2007. LRFD Bridge Design Specifications. AASHTO, Washington, USA.

[2]AASHTO (American Association of State Highway and Transportation Officials), 2008. The Manual for Bridge Evaluation. AASHTO, Washington, USA.

[3]Akiyama, M., Frangopol, D.M., Yoshida, I., 2010. Time dependent reliability analysis of existing RC structures in a marine environment using hazard associated with airborne chlorides. Engineering Structures, 32(11):3768-3779.

[4]Bhattacharya, B., Li, D., Chajes, M., 2008. Bridge rating using in-service data in the presence of strength deterioration and correlation in load processes. Structure and Infrastructure Engineering, 4(3):237-249.

[5]Clifton, J.R., Knab, L.I., 1989. Service life of concrete. Technical Report No. NUREG/CR-5466 and NISTIR-89-4086, Nuclear Regulatory Commission, Washington, USA. Division of Engineering; National Institute of Standards and Technology, Gaithersburg, USA.

[6]Dieulle, L., Bérenguer, C., Grall, A., et al., 2003. Sequential condition-based maintenance scheduling for a deteriorating system. European Journal of Operational Research, 150(2):451-461.

[7]Ellingwood, B.R., 2005. Risk-informed condition assessment of civil infrastructure: state of practice and research issues. Structure and Infrastructure Engineering, 1(1):7-18.

[8]Ellingwood, B.R., Mori, Y., 1997. Reliability-based service life assessment of concrete structures in nuclear power plants: optimum inspection and repair. Nuclear Engineering and Design, 175(3):247-258.

[9]Enright, M.P., Frangopol, D.M., 1998. Service-life prediction of deteriorating concrete bridges. Journal of Structural Engineering, 124(3):309-317.

[10]Faber, M.H., Val, D.V., Stewart, M.G., 2000. Proof load testing for bridge assessment and upgrading. Engineering Structures, 22(12):1677-1689.

[11]Li, Q.W., Wang, C., 2014. Effect of correlation of stochastic loadings on the time-dependent reliability of structures. Journal of Tsinghua University (Science and Technology), 54(10):1316-1320 (in Chinese).

[12]Li, Q.W., Wang, C., Ellingwood, B.R., 2015. Time-dependent reliability of aging structures in the presence of non-stationary loads and degradation. Structural Safety, 52:132-141.

[13]Melchers, R.E., 2008. Development of new applied models for steel corrosion in marine applications including shipping. Ships and Offshore Structures, 3(2):135-144.

[14]Mohd, M.H., Kim, D.K., Kim, D.W., et al., 2014. A time-variant corrosion wastage model for subsea gas pipelines. Ships and Offshore Structures, 9(2):161-176.

[15]Mori, Y., Ellingwood, B.R., 1993. Reliability-based service-life assessment of aging concrete structures. Journal of Structural Engineering, 119(5):1600-1621.

[16]MOT (Ministry of Transport of the People’s Republic of China), 2004. General Code for Design of Highway Bridges and Culverts, JTG D60-2004. China Communications Press, Beijing, China (in Chinese).

[17]MOT (Ministry of Transport of the People’s Republic of China), 2011. Specification for Inspection and Evaluation of Load-bearing Capacity of Highway Bridges, JTG/T J21-2011. MOT, China (in Chinese).

[18]Nowak, A.S., 1995. Calibration of LRFD bridge code. Journal of Structural Engineering, 121(8):1245-1251.

[19]OBrien, E.J., Bordallo-Ruiz, A., Enright, B., 2014. Lifetime maximum load effects on short-span bridges subject to growing traffic volumes. Structural Safety, 50:113-122.

[20]Rousson, V., Goşoniu, N.F., 2007. An R-square coefficient based on final prediction error. Statistical Methodology, 4(3):331-340.

[21]Saad-Eldeen, S., Garbatov, Y., Soares, C.G., 2013. Experimental assessment of corroded steel box-girders subjected to uniform bending. Ships and Offshore Structures, 8(6):653-662.

[22]Saassouh, B., Dieulle, L., Grall, A., 2007. Online maintenance policy for a deteriorating system with random change of mode. Reliability Engineering & System Safety, 92(12):1677-1685.

[23]Sharifi, Y., Paik, J.K., 2014. Maintenance and repair scheme for corroded stiffened steel box girder bridges based on ultimate strenghten reliability and risk assessments. Engineering Structures and Technologies, 6(3):95-105.

[24]Spiegel, M.R., Schiller, J.J., Srinivasan, R.A., 2009. Probability and Statistics. McGraw-Hill, New York, USA.

[25]Stewart, M.G., Val, D.V., 1999. Role of load history in reliability-based decision analysis of aging bridges. Journal of Structural Engineering, 125(7):776-783.

[26]Sun, J., Hong, H.P., 2002. Effect of reinforcement corrosion on reliability of bridge girders. Civil Engineering and Environmental Systems, 19(1):67-85.

[27]Tarighat, A., Jalalifar, F., 2014. Assessing the performance of corroding RC bridge decks: a critical review on corrosion propagation models. Civil Engineering Infrastructures Journal, 47(2):173-186.

[28]Tellinghuisen, J., Bolster, C.H., 2011. Using R2 to compare least-square fit models: when it must fail. Chemometrics and Intelligent Laboratory Systems, 105(2):220-222.

[29]van Noortwijk, J.M., van der Weide, J.A.M., Kallen, M.J., et al., 2007. Gamma processes and peaks-over-threshold distributions for time-dependent reliability. Reliability Engineering & System Safety, 92(12):1651-1658.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE