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: 6598
Citations: Bibtex RefMan EndNote GB/T7714
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.
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