FATIGUE-RELIABILITY EVALUATION OF STEEL BRIDGES

Citation
Zw. Zhao et al., FATIGUE-RELIABILITY EVALUATION OF STEEL BRIDGES, Journal of structural engineering, 120(5), 1994, pp. 1608-1623
Citations number
32
Categorie Soggetti
Engineering, Civil","Construcion & Building Technology
ISSN journal
07339445
Volume
120
Issue
5
Year of publication
1994
Pages
1608 - 1623
Database
ISI
SICI code
0733-9445(1994)120:5<1608:FEOSB>2.0.ZU;2-C
Abstract
The fatigue reliability of steel-bridge components is evaluated. The m ost commonly used S-N curve-based American Association of State Highwa y and Transportation Officials (AASHTO) method is considered first. Th e limit-state equation and the uncertainty associated with all the bas ic random variables are quantified. Using the advanced first-order sec ond-moment method, the corresponding probability of failure is calcula ted in terms of the reliability index. It is observed that the reliabi lity index is very similar to other design problems involving steel st ructures. Since the AASHTO approach cannot incorporate the crack-size information even if it is known at the time of evaluation, an alternat ive linear-elastic fracture mechanics (LEFM) method is proposed. The c orresponding limit-state equation and the basic variables are identifi ed, and the uncertainties associated with them are quantified. The rel iability index is calculated similarly. For comparison purposes, the r eliability indexes according to the AASHTO and LEFM approaches are eva luated for full-penetration butt welds in the tension flange of a stee l-box girder used in a public-transportation system. The reliability i ndexes are almost identical, at least around the design life of 50 yea rs. The LEFM approach still retains the simplicity of the AASHTO metho d, yet it is extremely powerful and efficient and can incorporate info rmation on crack size as inspection results become available. It is pr oposed that the LEFM can be used as an alternative to the AASHTO metho d in the fatigue-damage evaluation of steel bridges. The LEFM method i s extended in the companion paper to incorporate information from insp ections and the corresponding updating of the underlying reliability.