Uncertainty Quantification and Structural Reliability Estimation Considering Inspection Data Scarcity

Reliability estimation of aging RC structures under environmental attack involves various sources of uncertainties. In realistic operational conditions, uncertainties due to limited number of experimental data and incomplete inspection information affect the reliability assessment of the existing RC structures. A fuzzy probabilistic methodology is proposed in this paper to consider the inspection data scarcity for the RC structures uncertainty quantification and reliability estimation. The membership function is used to describe the fuzzy characteristic of small numbers of detection results. Following this, the fuzzy variables are transformed to the equivalent random variables and the classic reliability index can be obtained. The proposed methodology is compared with the conventional probabilistic approach using the goodness-of-fit method. The effect of data scarcity is discussed in detail. Next, the developed methodology is demonstrated with a RC bridge. Parametric studies of the concrete strength, the reinforcement strength loss, and the corrosion loss on the reliability analysis are performed. Several conclusions are drawn based on the analysis results.

• Record URL:
  • https://doi.org/10.1061/AJRUA6.0000818
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23767642
• Supplemental Notes:
  • © 2015 American Society of Civil Engineers.
• Authors:
  • Wang, Lei
  • Ma, Yafei
  • Zhang, Jianren
  • Zhang, Xuhui
  • Liu, Yongming
• Publication Date: 2015-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 04015004
• Serial:
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
  • Volume: 1
  • Issue Number: 2
  • Publisher: American Society of Civil Engineers
  • ISSN: 2376-7642
  • Serial URL: https://ascelibrary.org/journal/ajrua6

Subject/Index Terms

• TRT Terms: Aging (Materials); Concrete structures; Deterioration by environmental action; Fuzzy logic; Parametric analysis; Reinforced concrete; Reinforced concrete bridges; Reliability; Uncertainty
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Materials;

Filing Info

• Accession Number: 01679991
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Sep 4 2018 9:19AM