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Reliability-Based Fatigue Evaluation Considering Various Initial Conditions of Defects

 Reliability-Based Fatigue Evaluation Considering Various Initial Conditions of Defects
Autor(en): , , ORCID
Beitrag für IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, veröffentlicht in , S. 1772-1776
DOI: 10.2749/newyork.2019.1772
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This study presents the reliability-based fatigue evaluation procedure for deteriorated steel members of a bridge with estimation in initial conditions of defects. For this purpose, deterioration s...
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Bibliografische Angaben

Autor(en): (Seoul National University)
(Seoul National University)
ORCID (Seoul National University)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Veröffentlicht in:
Seite(n): 1772-1776 Anzahl der Seiten (im PDF): 5
Seite(n): 1772-1776
Anzahl der Seiten (im PDF): 5
DOI: 10.2749/newyork.2019.1772
Abstrakt:

This study presents the reliability-based fatigue evaluation procedure for deteriorated steel members of a bridge with estimation in initial conditions of defects. For this purpose, deterioration scenarios and limit states are defined when fatigue crack or pitting corrosion are found. Since the initial conditions of the defects, such as the initial crack depth or the time for corrosion nucleation have large uncertainties, the initial conditions are estimated using the inspection results. A numerical example is presented to confirm the applicability of proposed method for typical steel structural members. The initial crack depth and the time for corrosion nucleation estimated by the proposed methods are similar to those proposed in previous studies, depending on the size of the defect. It is also possible to estimate more reasonable initial conditions of defects compared to the fixed distribution parameters or deterministic values which have been presented in previous studies. Therefore, it is expected that the proposed evaluation procedure could facilitate precise fatigue reliability analysis.

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