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010   $a3-031-23570-3
024 7 $a10.1007/978-3-031-23570-2
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035   $a(DE-He213)978-3-031-23570-2
035   $a(PPN)269095896
035   $a(MiAaPQ)EBC7233646
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035   $a(OCoLC)1375010687
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100   $a20230331d2023      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBest Practice Guideline for Statistical Analyses of Fatigue Results /$fby Guy Parmentier, Michel Huther, Isabel Huther, Fabien Lefebvre
205   $a1st ed. 2023.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023.
215   $a1 online resource (IX, 117 p. 24 illus., 17 illus. in color.) 
225 1 $aIIW Collection,$x2365-4368
311   $a3-031-23569-X 
330   $aThis book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves. Recommendations for analyzing fatigue data are available, although they do not deal with all the statistical treatments that may be required to utilize fatigue test results, and none of them offers specific guidelines for analyzing fatigue data obtained from tests on welded specimens. For an easy use, working sheets are provided to assist in the proper statistical assessment of experimental fatigue data concerning practical problems giving the procedure and a numerical application as illustration. .
410  0$aIIW Collection,$x2365-4368
606   $aMaterials?Fatigue
606   $aStatistics
606   $aMaterials Fatigue
606   $aApplied Statistics
615  0$aMaterials?Fatigue.
615  0$aStatistics.
615 14$aMaterials Fatigue.
615 24$aApplied Statistics.
676   $a620.112
676   $a671.52042
700   $aParmentier$b Guy$4aut$4http://id.loc.gov/vocabulary/relators/aut$0476203
702   $aHuther$b Michel$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHuther$b Isabel$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aLefebvre$b Fabien$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910686782603321
996   $aBest Practice Guideline for Statistical Analyses of Fatigue Results$93255638
997   $aUNINA