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Probabilistic prognosis of fatigue crack growth for asphalt concretes

Authors
Lee, Seung-JungZi, GoangseupMun, SunghoKong, Jung SikChoi, 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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공과대학 (건축사회환경공학부)
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