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[ subject:"Materials Fatigue." ]
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Best practice guideline for statistical analyses of fatigue results
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Best practice guideline for statistical analyses of fatigue resultsby Guy Parmentier ... [et al.].
其他作者:
Parmentier, Guy.
出版者:
Cham :Springer Nature Switzerland :2023.
面頁冊數:
ix, 117 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Welded jointsFatigue.
電子資源:
https://doi.org/10.1007/978-3-031-23570-2
ISBN:
9783031235702$q(electronic bk.)
Best practice guideline for statistical analyses of fatigue results
Best practice guideline for statistical analyses of fatigue results
[electronic resource] /by Guy Parmentier ... [et al.]. - Cham :Springer Nature Switzerland :2023. - ix, 117 p. :ill. (some col.), digital ;24 cm. - IIW collection,2365-4368. - IIW collection..
This book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves. Recommendations for analyzing fatigue data are available, although they do not deal with all the statistical treatments that may be required to utilize fatigue test results, and none of them offers specific guidelines for analyzing fatigue data obtained from tests on welded specimens. For an easy use, working sheets are provided to assist in the proper statistical assessment of experimental fatigue data concerning practical problems giving the procedure and a numerical application as illustration.
ISBN: 9783031235702$q(electronic bk.)
Standard No.: 10.1007/978-3-031-23570-2doiSubjects--Topical Terms:
216022
Welded joints
--Fatigue.
LC Class. No.: TA492.W4
Dewey Class. No.: 671.52042
Best practice guideline for statistical analyses of fatigue results
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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.
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