Full Text:   <2506>

Summary:  <1965>

CLC number: TU312

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2016-08-23

Cited: 1

Clicked: 4570

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

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Journal of Zhejiang University SCIENCE A 2016 Vol.17 No.9 P.677-688

http://doi.org/10.1631/jzus.A1500342


Estimating the time-dependent reliability of aging structures in the presence of incomplete deterioration information


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

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

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

Key Words:  Time-dependent reliability, Deterioration model, Error quantification, Averaged reliability, Structural safety


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Abstract: 
The performance of an aging structure is commonly evaluated under the framework of reliability analysis, where the uncertainties associated with the structural resistance and loads should be taken into account. In practical engineering, the probability distribution of resistance deterioration is often inaccessible due to the limits of available data, although the statistical parameters such as mean value and standard deviation can be obtained by fitting or empirical judgments. As a result, an error of structural reliability may be introduced when an arbitrary probabilistic distribution is assumed for the resistance deterioration. With this regard, in this paper, the amount of reliability error posed by different choices of deterioration distribution is investigated, and a novel approach is proposed to evaluate the averaged structural reliability under incomplete deterioration information, which does not rely on the probabilistic weight of the candidate deterioration models. The reliability for an illustrative structure is computed parametrically for varying probabilistic models of deterioration and different resistance conditions, through which the reliability associated with different deterioration models is compared, and the application of the proposed method is illustrated.

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