01455nam0 22003013i 450 VAN026013120240221094259.975N978981168036620230622d2022 |0itac50 baengSG|||| |||||Expert System for Fatigue Crack Growth Predictions Based on Fatigue Crack ClosureJi-Ho Song, Chung-Youb KimSingaporeSpringer2022X, 84 p.ill.24 cm001VAN01090902001 KAIST Research Series210 DordrechtSpringer2014-SGSingaporeVANL000061SongJi-HoVANV2142521213526KimChung-YoubVANV2142531360656Springer <editore>VANV108073650ITSOL20240614RICAhttps://link.springer.com/openurl?genre=book&isbn=978-981-16-8036-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHEIT-CE0101VAN17NVAN0260131BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS e-book 2306 17BIB2306/147 147 20230622 Expert System for Fatigue Crack Growth Predictions Based on Fatigue Crack Closure3378521UNICAMPANIA