Fatigue Assessment and Service Life Prediction of Existing Steel Bridges by Integrating SHM into a Probabilistic Bilinear S-N Approach

Author:

Soliman Mohamed1,Frangopol Dan M.2,Kown Kihyon3

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., 117 ATLSS Dr., Bethlehem, PA 18015-4729.

2. Professor and the Fazlur R. Khan Endowed Chair of Structural Engineering and Architecture, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., 117 ATLSS Dr., Bethlehem, PA 18015-4729 (corresponding author).

3. Senior Researcher, Social Overhead Capital (SOC) Research Institute, Structural Engineering Research Division, Korea Institute of Construction Technology, 283, Goyangdae-Ro, Ilsanseo-Gu, Goynag-Si, Gyeonggi-Do, Seoul 411-712, South Korea; formerly, Graduate Research Assistant, Dept. of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh Univ., 117 ATLSS Dr., Bethlehem, PA 18015-4729.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Reference26 articles.

1. AASHTO. (2008). AASHTO LRFD bridge design specifications 4th Ed. AASHTO Washington DC.

2. Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

3. Ang. A. H-S. and Tang W. H. (2007). Probability concepts in engineering: Emphasis on applications to civil and environmental engineering 2nd Ed. Wiley New York.

4. British Standards Institution (BSI). (2006). Eurocode 3: Design of steel structures Part 1.9: Fatigue strength of steel structures BSI London.

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