Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm

Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm

This paper is an attempt to formulate an estimation method which can efficiently determine the critical plane according to the criteria under consideration. It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The...

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Main Authors: M., Kaamal, M. M., Rahman
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/1/Dual-Criteria%20Method%20For%20Determining%20Critical%20Plane%20Orientation%20For%20Multiaxial%20Fatigue%20Prediction%20Using%20A%20Genetic%20Algorithm.pdf
id ump-9879
recordtype eprints
spelling ump-98792018-01-25T01:45:59Z http://umpir.ump.edu.my/id/eprint/9879/ Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm M., Kaamal M. M., Rahman TJ Mechanical engineering and machinery This paper is an attempt to formulate an estimation method which can efficiently determine the critical plane according to the criteria under consideration. It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The multi-criteria-based critical plane selection method is evaluated; the considered criteria include a fatigue parameter and variance of shear stress, both maximized to find the most damaging plane. The results show that the proposed model reduces the number of iterations by 90% with greater accuracy than the conventional methods and multiple candidate planes can easily be identified. Two or more criteria can easily be implemented in searching for the critical plane. The GAbased critical plane location method shows promise for fatigue life estimation as it is flexible and simple to implement. Universiti Malaysia Pahang 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/9879/1/Dual-Criteria%20Method%20For%20Determining%20Critical%20Plane%20Orientation%20For%20Multiaxial%20Fatigue%20Prediction%20Using%20A%20Genetic%20Algorithm.pdf M., Kaamal and M. M., Rahman (2015) Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm. International Journal of Automotive and Mechanical Engineering (IJAME), 11. pp. 2571-2581. ISSN 1985-9325(Print); 2180-1606 (Online) http://ijame.ump.edu.my/images/Volume_11%20June%202015/35_Kamal%20and%20Rahman.pdf DOI: 10.15282/ijame.11.2015.35.0216
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., Kaamal
M. M., Rahman
Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
description This paper is an attempt to formulate an estimation method which can efficiently determine the critical plane according to the criteria under consideration. It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The multi-criteria-based critical plane selection method is evaluated; the considered criteria include a fatigue parameter and variance of shear stress, both maximized to find the most damaging plane. The results show that the proposed model reduces the number of iterations by 90% with greater accuracy than the conventional methods and multiple candidate planes can easily be identified. Two or more criteria can easily be implemented in searching for the critical plane. The GAbased critical plane location method shows promise for fatigue life estimation as it is flexible and simple to implement.
format Article
author M., Kaamal
M. M., Rahman
author_facet M., Kaamal
M. M., Rahman
author_sort M., Kaamal
title Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
title_short Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
title_full Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
title_fullStr Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
title_full_unstemmed Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
title_sort dual-criteria method for determining critical plane orientation for multiaxial fatigue prediction using a genetic algorithm
publisher Universiti Malaysia Pahang
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/
http://umpir.ump.edu.my/id/eprint/9879/1/Dual-Criteria%20Method%20For%20Determining%20Critical%20Plane%20Orientation%20For%20Multiaxial%20Fatigue%20Prediction%20Using%20A%20Genetic%20Algorithm.pdf
first_indexed 2023-09-18T22:08:54Z
last_indexed 2023-09-18T22:08:54Z
_version_ 1777414894792998912

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