Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm

This paper presents a new hybrid approach for multiaxial fatigue life estimation, based on continuum damage mechanics theory and a genetic algorithm with critical plane model formulation. The hybrid model employs a genetic algorithm based setup for calibration with standard proportional and non-prop...

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Main Authors:	M., Kamal, M. M., Rahman
Format:	Article
Language:	English
Published:	John Wiley & Sons 2016
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/1/Multiaxial%20Fatigue%20Life%20Modelling%20Using%20Hybrid%20Approach%20of%20Critical%20Plane%20and%20Genetic%20Algorithm.pdf

id	ump-11770
recordtype	eprints
spelling	ump-117702018-01-25T01:31:04Z http://umpir.ump.edu.my/id/eprint/11770/ Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm M., Kamal M. M., Rahman TJ Mechanical engineering and machinery This paper presents a new hybrid approach for multiaxial fatigue life estimation, based on continuum damage mechanics theory and a genetic algorithm with critical plane model formulation. The hybrid model employs a genetic algorithm based setup for calibration with standard proportional and non-proportional profiles to predict fatigue life for complex loading profiles. The model is evaluated using experimental fatigue life data for SS304 steel. Calibration using simplified profiles is in agreement with the requirement for cost-effective experimental fatigue life testing. In-phase and out-of-phase loads are used for calibration, and fatigue life is predicted for more complicated profiles. The results show good agreement between the estimated and experimental fatigue life, and calibration through simple loading histories to predict fatigue life for complex histories appears to be an effective solution using the proposed model. A brief comparison is presented with fatigue life estimation performance of the proposed model with models available in commercial codes. Proposed model found to be more consistent in fatigue life prediction against various loading conditions. John Wiley & Sons 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11770/1/Multiaxial%20Fatigue%20Life%20Modelling%20Using%20Hybrid%20Approach%20of%20Critical%20Plane%20and%20Genetic%20Algorithm.pdf M., Kamal and M. M., Rahman (2016) Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm. Fatigue & Fracture of Engineering Materials & Structures, 39 (4). pp. 479-490. ISSN 1460-2695 http://dx.doi.org/10.1111/ffe.12378 DOI: 10.1111/ffe.12378
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., Kamal M. M., Rahman Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
description	This paper presents a new hybrid approach for multiaxial fatigue life estimation, based on continuum damage mechanics theory and a genetic algorithm with critical plane model formulation. The hybrid model employs a genetic algorithm based setup for calibration with standard proportional and non-proportional profiles to predict fatigue life for complex loading profiles. The model is evaluated using experimental fatigue life data for SS304 steel. Calibration using simplified profiles is in agreement with the requirement for cost-effective experimental fatigue life testing. In-phase and out-of-phase loads are used for calibration, and fatigue life is predicted for more complicated profiles. The results show good agreement between the estimated and experimental fatigue life, and calibration through simple loading histories to predict fatigue life for complex histories appears to be an effective solution using the proposed model. A brief comparison is presented with fatigue life estimation performance of the proposed model with models available in commercial codes. Proposed model found to be more consistent in fatigue life prediction against various loading conditions.
format	Article
author	M., Kamal M. M., Rahman
author_facet	M., Kamal M. M., Rahman
author_sort	M., Kamal
title	Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
title_short	Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
title_full	Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
title_fullStr	Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
title_full_unstemmed	Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm
title_sort	multiaxial fatigue life modelling using hybrid approach of critical plane and genetic algorithm
publisher	John Wiley & Sons
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/ http://umpir.ump.edu.my/id/eprint/11770/1/Multiaxial%20Fatigue%20Life%20Modelling%20Using%20Hybrid%20Approach%20of%20Critical%20Plane%20and%20Genetic%20Algorithm.pdf
first_indexed	2023-09-18T22:12:43Z
last_indexed	2023-09-18T22:12:43Z
_version_	1777415134870765568

Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm

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