Bjorheim et al 2022a - Revision history

Move page script: Move page script moved page Bjørheim et al 1970a to Bjorheim et al 2022a

2022-11-25T15:06:36Z

Move page script moved page Bjørheim et al 1970a to Bjorheim et al 2022a

Scipediacontent at 16:39, 23 November 2022

2022-11-23T16:39:37Z

Scipediacontent at 15:47, 23 November 2022

2022-11-23T15:47:59Z

JSanchez: JSanchez moved page Draft Sanchez Pinedo 684719014 to Bjørheim et al 1970a

2022-11-23T09:22:51Z

JSanchez moved page Draft Sanchez Pinedo 684719014 to Bjørheim et al 1970a

JSanchez at 09:22, 23 November 2022

2022-11-23T09:22:46Z

JSanchez at 09:22, 23 November 2022

2022-11-23T09:22:43Z

JSanchez: Created blank page

2022-11-23T09:22:41Z

Created blank page

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 == Summary ==
-Recently proposed damage models are presented and compared. In addition, a deterministic algorithm for nonlinear fatigue damage monitoring is presented and discussed. Furthermore, the commonly adopted functional forms for damage modelling is proposed and the adequacy of their functional form is directly investigated by the help of experimental data. Thereafter, the accuracy and whether the presented models give conservative estimates in comparison to Miner’s rule are checked with experimental data. It is found that the proposed models generally perform better for various materials commonly subjected to fatigue. Finally, it is discussed how both the theory and deterministic algorithms now exist for both adopting nonlinear functions in design if the expected loading sequence can be determined, whereas it can always be adopted for fatigue based structural health monitoring
+Recently proposed damage models are presented and compared. In addition, a deterministic algorithm for nonlinear fatigue damage monitoring is presented and discussed. Furthermore, the commonly adopted functional forms for damage modelling is proposed and the adequacy of their functional form is directly investigated by the help of experimental data. Thereafter, the accuracy and whether the presented models give conservative estimates in comparison to Miner’s rule are checked with experimental data. It is found that the proposed models generally perform better for various materials commonly subjected to fatigue. Finally, it is discussed how both the theory and deterministic algorithms now exist for both adopting nonlinear functions in design if the expected loading sequence can be determined, whereas it can always be adopted for fatigue based structural health monitoring.
-−
 == Abstract ==

← Older revision		Revision as of 15:47, 23 November 2022
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		+	== Summary ==
		+
		+	Recently proposed damage models are presented and compared. In addition, a deterministic algorithm for nonlinear fatigue damage monitoring is presented and discussed. Furthermore, the commonly adopted functional forms for damage modelling is proposed and the adequacy of their functional form is directly investigated by the help of experimental data. Thereafter, the accuracy and whether the presented models give conservative estimates in comparison to Miner’s rule are checked with experimental data. It is found that the proposed models generally perform better for various materials commonly subjected to fatigue. Finally, it is discussed how both the theory and deterministic algorithms now exist for both adopting nonlinear functions in design if the expected loading sequence can be determined, whereas it can always be adopted for fatigue based structural health monitoring
		+
		+
	== Abstract ==		== Abstract ==
	<pdf>Media:Draft_Sanchez Pinedo_684719014281_abstract.pdf</pdf>		<pdf>Media:Draft_Sanchez Pinedo_684719014281_abstract.pdf</pdf>

← Older revision		Revision as of 09:22, 23 November 2022
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	== Abstract ==		== Abstract ==
	<pdf>Media:Draft_Sanchez Pinedo_684719014281_abstract.pdf</pdf>		<pdf>Media:Draft_Sanchez Pinedo_684719014281_abstract.pdf</pdf>
		+
		+	== Full Paper ==
		+	<pdf>Media:Draft_Sanchez Pinedo_684719014281_paper.pdf</pdf>

← Older revision	Revision as of 09:22, 23 November 2022
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−	+	== Abstract ==
	+	<pdf>Media:Draft_Sanchez Pinedo_684719014281_abstract.pdf</pdf>

← Older revision	Revision as of 15:06, 25 November 2022
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