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Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method

The new method to modeling fatigue crack propagation compare with the classical inference is stochastic method. One approach to stochastic modeling is to randomize the coefficients of an established determinictic model to represent material inhomogenity (Ditlevsen and Olsen,1986). A random process...

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Main Authors: Romlay, Fadhlur Rahman Mohd, Ariffin, Ahmad Kamal, Mohamed, Nik Abdullah Nik
Other Authors: Ahmad, Abdul Latif
Format: Book Section
Language:English
Published: Penerbit Universiti Sains Malaysia 2004
Subjects:
Q179.9-180 Research
Online Access:http://eprints.usm.my/41983/1/pAMT05.pdf
http://eprints.usm.my/41983/
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spelling my.usm.eprints.41983 http://eprints.usm.my/41983/ Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method Romlay, Fadhlur Rahman Mohd Ariffin, Ahmad Kamal Mohamed, Nik Abdullah Nik Q179.9-180 Research The new method to modeling fatigue crack propagation compare with the classical inference is stochastic method. One approach to stochastic modeling is to randomize the coefficients of an established determinictic model to represent material inhomogenity (Ditlevsen and Olsen,1986). A random process to generate a stochastic data by multyplying the deterministic dynamics of fatigue crack growth (Lin and Yang, 1985; Spencer et al., 1989). Penerbit Universiti Sains Malaysia Ahmad, Abdul Latif Yahya, Ahmad Ramli Mohd Abdullah, Amirul AI-Ashraf Muhammad, Tengku Sifzizul Tengku 2004 Book Section PeerReviewed application/pdf en http://eprints.usm.my/41983/1/pAMT05.pdf Romlay, Fadhlur Rahman Mohd and Ariffin, Ahmad Kamal and Mohamed, Nik Abdullah Nik (2004) Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method. In: The 4th Annual Seminar of National Science Fellowship NSF 2004 Proceedings. Penerbit Universiti Sains Malaysia, Pulau Pinang, Malaysia, pp. 250-255.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic Q179.9-180 Research
spellingShingle Q179.9-180 Research
Romlay, Fadhlur Rahman Mohd
Ariffin, Ahmad Kamal
Mohamed, Nik Abdullah Nik
Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
description The new method to modeling fatigue crack propagation compare with the classical inference is stochastic method. One approach to stochastic modeling is to randomize the coefficients of an established determinictic model to represent material inhomogenity (Ditlevsen and Olsen,1986). A random process to generate a stochastic data by multyplying the deterministic dynamics of fatigue crack growth (Lin and Yang, 1985; Spencer et al., 1989).
author2 Ahmad, Abdul Latif
author_facet Ahmad, Abdul Latif
Romlay, Fadhlur Rahman Mohd
Ariffin, Ahmad Kamal
Mohamed, Nik Abdullah Nik
format Book Section
author Romlay, Fadhlur Rahman Mohd
Ariffin, Ahmad Kamal
Mohamed, Nik Abdullah Nik
author_sort Romlay, Fadhlur Rahman Mohd
title Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
title_short Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
title_full Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
title_fullStr Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
title_full_unstemmed Modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
title_sort modeling of fatigue crack propagation of multiple site using deterministic and probabilistic method
publisher Penerbit Universiti Sains Malaysia
publishDate 2004
url http://eprints.usm.my/41983/1/pAMT05.pdf
http://eprints.usm.my/41983/
_version_ 1643710378127917056
score 13.209306

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