Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft

This paper presents the durability assessment in terms of assessing the reliability analysis under random loading stress using the probabilistic approach of the stochastic process for structural health monitoring. The Markov process proposed in this study has the capability of generating synthetic l...

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Main Authors:	S. S. K., Singh, S., Abdullah, Nik Abdullah, Nik Mohamed
Format:	Article
Language:	English English
Published:	Asian Research Publishing Network (ARPN) 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/18372/ http://umpir.ump.edu.my/id/eprint/18372/ http://umpir.ump.edu.my/id/eprint/18372/2/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft%201.pdf http://umpir.ump.edu.my/id/eprint/18372/8/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft.pdf

id	ump-18372
recordtype	eprints
spelling	ump-183722018-01-24T02:18:23Z http://umpir.ump.edu.my/id/eprint/18372/ Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft S. S. K., Singh S., Abdullah Nik Abdullah, Nik Mohamed TJ Mechanical engineering and machinery This paper presents the durability assessment in terms of assessing the reliability analysis under random loading stress using the probabilistic approach of the stochastic process for structural health monitoring. The Markov process proposed in this study has the capability of generating synthetic loading stress data by embedding the actual maximum and minimum loading stresses. This is done by continuously updating the synthetic loading stress in order to generate the stress loading data history for each rotational speed. The purpose of this is to reduce the credible intervals between each data point for reliability analysis through the linear fatigue damage accumulation rule. The accuracy of the Markov process was validated through the finite element analysis and the accuracy and is statistically correlated between the actual and synthetic loading stress. The Markov process showed that the accuracy of the simulated fatigue life has an accuracy of 95% boundary condition when the actual and synthetic loading stress is statistically correlated using finite element analysis. Hence, it was able to provide a highly accurate assessment of durability for the improvement and control of risk factors for overcoming the extensive time and cost required in reliability testing. Asian Research Publishing Network (ARPN) 2017-03 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18372/2/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18372/8/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft.pdf S. S. K., Singh and S., Abdullah and Nik Abdullah, Nik Mohamed (2017) Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft. ARPN Journal of Engineering and Applied Sciences, 12 (6). 1991 -1996. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0317_5854.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery S. S. K., Singh S., Abdullah Nik Abdullah, Nik Mohamed Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
description	This paper presents the durability assessment in terms of assessing the reliability analysis under random loading stress using the probabilistic approach of the stochastic process for structural health monitoring. The Markov process proposed in this study has the capability of generating synthetic loading stress data by embedding the actual maximum and minimum loading stresses. This is done by continuously updating the synthetic loading stress in order to generate the stress loading data history for each rotational speed. The purpose of this is to reduce the credible intervals between each data point for reliability analysis through the linear fatigue damage accumulation rule. The accuracy of the Markov process was validated through the finite element analysis and the accuracy and is statistically correlated between the actual and synthetic loading stress. The Markov process showed that the accuracy of the simulated fatigue life has an accuracy of 95% boundary condition when the actual and synthetic loading stress is statistically correlated using finite element analysis. Hence, it was able to provide a highly accurate assessment of durability for the improvement and control of risk factors for overcoming the extensive time and cost required in reliability testing.
format	Article
author	S. S. K., Singh S., Abdullah Nik Abdullah, Nik Mohamed
author_facet	S. S. K., Singh S., Abdullah Nik Abdullah, Nik Mohamed
author_sort	S. S. K., Singh
title	Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
title_short	Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
title_full	Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
title_fullStr	Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
title_full_unstemmed	Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft
title_sort	markov chain application in fatigue reliability analysis for durability assessment of a vehicle crankshaft
publisher	Asian Research Publishing Network (ARPN)
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18372/ http://umpir.ump.edu.my/id/eprint/18372/ http://umpir.ump.edu.my/id/eprint/18372/2/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft%201.pdf http://umpir.ump.edu.my/id/eprint/18372/8/Markov%20Chain%20Application%20in%20Fatigue%20Reliability%20Analysis%20for%20Durability%20Assessment%20of%20a%20Vehicle%20Crankshaft.pdf
first_indexed	2023-09-18T22:26:00Z
last_indexed	2023-09-18T22:26:00Z
_version_	1777415970306916352

Markov Chain Application in Fatigue Reliability Analysis for Durability Assessment of a Vehicle Crankshaft

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