Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size

The aim of this paper is to demonstrate the accuracy of the sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite E...

Full description

Bibliographic Details
Main Authors:	M. R. M., Akramin, A. K., Ariffin, Kikuchi, Masanori, S., Abdullah
Format:	Article
Language:	English
Published:	Springer Berlin Heidelberg 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf

id	ump-15243
recordtype	eprints
spelling	ump-152432017-02-13T00:41:41Z http://umpir.ump.edu.my/id/eprint/15243/ Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah TJ Mechanical engineering and machinery The aim of this paper is to demonstrate the accuracy of the sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite Element Model (ProbS-FEM). Two sampling methods, Monte Carlo and Latin Hypercube are employed in the ProbS-FEM. Two different sampling methods are used to generate the random variables in the analysis. The results from the strategies are compared to highlight the advantages of each sampling strategy. The distribution of the initial surface crack length and depth are extracted from the fatigue tests. The accuracy and consistency between the two sampling methods are evaluated. The Latin Hypercube sampling (LHS) shows advantages compared to the Monte Carlo. Then, the developed ProbS-FEM is demonstrated on a four-point bending model. The developed ProbS-FEM shows that the code is capable of modelling the uncertainty in the fatigue surface crack analysis with better accuracy and consistency of sampling process. Springer Berlin Heidelberg 2017-05-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf M. R. M., Akramin and A. K., Ariffin and Kikuchi, Masanori and S., Abdullah (2017) Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39 (1). pp. 357-365. ISSN 1678-5878 (Print); 1806-3691 (Online) http://dx.doi.org/10.1007/s40430-016-0549-z DOI: 10.1007/s40430-016-0549-z
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
description	The aim of this paper is to demonstrate the accuracy of the sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite Element Model (ProbS-FEM). Two sampling methods, Monte Carlo and Latin Hypercube are employed in the ProbS-FEM. Two different sampling methods are used to generate the random variables in the analysis. The results from the strategies are compared to highlight the advantages of each sampling strategy. The distribution of the initial surface crack length and depth are extracted from the fatigue tests. The accuracy and consistency between the two sampling methods are evaluated. The Latin Hypercube sampling (LHS) shows advantages compared to the Monte Carlo. Then, the developed ProbS-FEM is demonstrated on a four-point bending model. The developed ProbS-FEM shows that the code is capable of modelling the uncertainty in the fatigue surface crack analysis with better accuracy and consistency of sampling process.
format	Article
author	M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah
author_facet	M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah
author_sort	M. R. M., Akramin
title	Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
title_short	Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
title_full	Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
title_fullStr	Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
title_full_unstemmed	Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
title_sort	sampling method in probabilistic s‑version finite element analysis for initial flaw size
publisher	Springer Berlin Heidelberg
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/ http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf
first_indexed	2023-09-18T22:19:41Z
last_indexed	2023-09-18T22:19:41Z
_version_	1777415573329674240

Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size

Similar Items