Probabilistic prognosis of fatigue crack growth for asphalt concretes

Seung Jung Lee, Goangseup Zi, Sungho Mun, Jun g Sik Kong, Joo Ho Choi

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)212-229
Number of pages18
JournalEngineering Fracture Mechanics
Publication statusPublished - 2015 Jun 1

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd.


  • Asphalt concrete
  • Bayesian theory
  • Crack growth
  • Fatigue
  • J integral
  • Particle filtering
  • Prognosis
  • Remaining service life

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering


Dive into the research topics of 'Probabilistic prognosis of fatigue crack growth for asphalt concretes'. Together they form a unique fingerprint.

Cite this