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005 20240221094259.975
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200 1 $aExpert System for Fatigue Crack Growth Predictions Based on Fatigue Crack Closure$fJi-Ho Song, Chung-Youb Kim
210   $aSingapore$cSpringer$d2022
215   $aX, 84 p.$cill.$d24 cm
410  1$1001VAN0109090$12001 $aKAIST Research Series$1210  $aDordrecht$cSpringer$d2014-
620   $aSG$dSingapore$3VANL000061
700  1$aSong$bJi-Ho$3VANV214252$01213526
701  1$aKim$bChung-Youb$3VANV214253$01360656
712   $aSpringer <editore>$3VANV108073$4650
801   $aIT$bSOL$c20240614$gRICA
856 4 $uhttps://link.springer.com/openurl?genre=book&isbn=978-981-16-8036-6$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth
899   $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$1IT-CE0101$2VAN17
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950   $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS      e-book                  2306        $e17BIB2306/147  147     20230622            
996   $aExpert System for Fatigue Crack Growth Predictions Based on Fatigue Crack Closure$93378521
997   $aUNICAMPANIA