Best Practice Guideline for Statistical Analyses of Fatigue Results

This book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves. Recommendations for analyzing fatigue data are available, although...

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Main Authors: Parmentier, Guy (Author), Huther, Michel (Author), Huther, Isabel (Author), Lefebvre, Fabien (Author)
企業作者: SpringerLink (Online service)
格式: 電子 電子書
語言:英语
出版: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
版:1st ed. 2023.
叢編:IIW Collection,
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在線閱讀:https://doi.org/10.1007/978-3-031-23570-2
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520 |a This book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves. Recommendations for analyzing fatigue data are available, although they do not deal with all the statistical treatments that may be required to utilize fatigue test results, and none of them offers specific guidelines for analyzing fatigue data obtained from tests on welded specimens. For an easy use, working sheets are provided to assist in the proper statistical assessment of experimental fatigue data concerning practical problems giving the procedure and a numerical application as illustration. . 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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