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http://dx.doi.org/10.7855/IJHE.2016.18.4.063

Development of Nonlinear Fatigue Model Based on Particle Filter Method  

Mun, Sungho (The Road Pavement Research Division, Seoul National University of Science and Technology)
Publication Information
International Journal of Highway Engineering / v.18, no.4, 2016 , pp. 63-68 More about this Journal
Abstract
PURPOSES : The nonlinear model of fatigue cracking is typically used for determining the maintenance period. However, this requires that the model parameters be known. In this study, the particle filter (PF) method was used to determine various statistical parameters such as the mean and standard deviation values for the nonlinear model of fatigue cracking. METHODS : The PF method was used to determine various statistical parameters for the nonlinear model of fatigue cracking, such as the mean and standard deviation. RESULTS : On comparing the values obtained using the PF method and the least square (LS) method, it was found that PF method was suitable for determining the statistical parameters to be used in the nonlinear model of fatigue cracking. CONCLUSIONS : The values obtained using the PF method were as accurate as those obtained using the LS method. Furthermore, reliability design can be applied because the statistical parameters of mean and standard deviation can be obtained through the PF method.
Keywords
fatigue; particle filter; least square; statistical parameters;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Cho, H-T, and Mun, S. (2016) "Adaptive noise parameter determination based on a particle filter algorithm". Vol. 2016, Article ID 3570509, 7 pages.
2 Shin, D. H., Leem, S. H., An, D., and Choi, J-H. (2012) "Experimental validation of crack growth prognosis under variable amplitude loads". Proceeding paper of the Korean Society of Mechanical Engineering, pp. 2021-2027.
3 Mun, S. (2016) "Pavement performance model development using Bayesian algorithm". International Journal of Highway Engineering, Vol. 18, No. 1, pp. 91-97.   DOI