Probabilistic prognosis of fatigue crack growth for asphalt concretes
- Authors
- Lee, Seung-Jung; Zi, Goangseup; Mun, Sungho; Kong, Jung Sik; Choi, Joo-Ho
- Issue Date
- 6월-2015
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Asphalt concrete; Particle filtering; Prognosis; Bayesian theory; Fatigue; J integral; Crack growth; Remaining service life
- Citation
- ENGINEERING FRACTURE MECHANICS, v.141, pp.212 - 229
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENGINEERING FRACTURE MECHANICS
- Volume
- 141
- Start Page
- 212
- End Page
- 229
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/93482
- DOI
- 10.1016/j.engfracmech.2015.04.033
- ISSN
- 0013-7944
- Abstract
- A probabilistic approach is presented for the prognosis of fatigue crack growth for asphalt concretes using the particle filtering method based on Bayesian theory. The random response of fatigue behavior is successively updated with the accumulation of the measured data by the particle filtering method. During the updating, particles with high probability are reproduced more, while others are eliminated via resampling procedures. The J integral is adopted for the fatigue crack growth to take into account the viscoelastic characteristics of asphalt concretes. The prognosis of fatigue crack growth and remaining service life under different conditions is presented using this method. (C) 2015 Elsevier Ltd. All rights reserved.
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Collections - College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles
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