Engineering critical assessment and variable sensitivity analysis for as-welded S690 steels
Engineering critical assessment and variable sensitivity analysis for as-welded S690 steels
Engineering critical assessment (ECA) or fitness-for-service (FFS) is a fracture mechanics based approach that is increasingly utilised for assessing the structural integrity of welded steel structures considering various degradation mechanisms which may occur during service. However, if sufficient number of inputs and/or accurate input values are not available, the ECA result is often considered overly conservative and for such cases adds potentially unnecessary obstacles to design and maintenance solutions High strength steels such as S690, S890 and S960 are increasingly used in the offshore and lifting applications, thus to enhance our confidence in using such steels, it is essential to develop better understanding into the relationship between the information from ECA, fracture toughness that can be currently achieved in industry and the required toughness from rules and regulations. This study explores the influence of different variables on critical fracture toughness requirement of S690 steel structures. In addition, the correlation between all the studied variables are investigated to provide quantitative indications of the most important variables in a static ECA process for high strength steel applications. Quantified sensitivity and correlations are obtained for the six studied variables. Industrial fracture toughness data of welded S690 with section thickness up to 160 mm are collected. This provides a snapshot of currently achievable fracture toughens of S690, in comparison with the ECA results and current rules and standards.
Wang, Yikun
2729f2f1-36d7-4daa-8589-b61fcc99a313
MacDonald, Andrew
ddc8bce7-76f2-412b-aaa5-21eb3a16227f
Xu, Li
5d056101-82d0-4149-b2d2-7ce9a8276264
Wright, Martyn
99bd4377-cd09-44e3-9375-2be998b6eee3
Shenoi, Ramanand
a37b4e0a-06f1-425f-966d-71e6fa299960
Wang, Yikun
2729f2f1-36d7-4daa-8589-b61fcc99a313
MacDonald, Andrew
ddc8bce7-76f2-412b-aaa5-21eb3a16227f
Xu, Li
5d056101-82d0-4149-b2d2-7ce9a8276264
Wright, Martyn
99bd4377-cd09-44e3-9375-2be998b6eee3
Shenoi, Ramanand
a37b4e0a-06f1-425f-966d-71e6fa299960
Wang, Yikun, MacDonald, Andrew, Xu, Li, Wright, Martyn and Shenoi, Ramanand
(2019)
Engineering critical assessment and variable sensitivity analysis for as-welded S690 steels.
Engineering Failure Analysis, [104282].
(doi:10.1016/j.engfailanal.2019.104282).
Abstract
Engineering critical assessment (ECA) or fitness-for-service (FFS) is a fracture mechanics based approach that is increasingly utilised for assessing the structural integrity of welded steel structures considering various degradation mechanisms which may occur during service. However, if sufficient number of inputs and/or accurate input values are not available, the ECA result is often considered overly conservative and for such cases adds potentially unnecessary obstacles to design and maintenance solutions High strength steels such as S690, S890 and S960 are increasingly used in the offshore and lifting applications, thus to enhance our confidence in using such steels, it is essential to develop better understanding into the relationship between the information from ECA, fracture toughness that can be currently achieved in industry and the required toughness from rules and regulations. This study explores the influence of different variables on critical fracture toughness requirement of S690 steel structures. In addition, the correlation between all the studied variables are investigated to provide quantitative indications of the most important variables in a static ECA process for high strength steel applications. Quantified sensitivity and correlations are obtained for the six studied variables. Industrial fracture toughness data of welded S690 with section thickness up to 160 mm are collected. This provides a snapshot of currently achievable fracture toughens of S690, in comparison with the ECA results and current rules and standards.
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Manuscript_Y_Wang_et_al_2019_Revision_1_no_track_changes
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Accepted/In Press date: 4 November 2019
e-pub ahead of print date: 9 November 2019
Identifiers
Local EPrints ID: 435629
URI: http://eprints.soton.ac.uk/id/eprint/435629
ISSN: 1350-6307
PURE UUID: b23dd97c-5e6c-4894-a588-d660d0ffc3e8
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Date deposited: 14 Nov 2019 17:30
Last modified: 17 Mar 2024 03:32
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Author:
Yikun Wang
Author:
Andrew MacDonald
Author:
Li Xu
Author:
Martyn Wright
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