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020 ▼a 9780438343054
035 ▼a (MiAaPQ)AAI10842886
035 ▼a (MiAaPQ)cornellgrad:10956
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 620
1001 ▼a Kosianka, Justyna Weronika.
24510 ▼a Condition Assessment in Marine Elements Requiring Fluid-Structure Interaction Analysis through a Data-Driven Proxy Model Inversion Framework.
260 ▼a [S.l.]: ▼b Cornell University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 319 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Christopher J. Earls.
5021 ▼a Thesis (Ph.D.)--Cornell University, 2018.
520 ▼a It is essential to identify damage within a structure as early as possible in order to propose corrective measures to prevent mechanical failure---ultimately extending service life. Such damage detection can be effected through non-destructive m
590 ▼a School code: 0058.
650 4 ▼a Engineering.
650 4 ▼a Civil engineering.
690 ▼a 0537
690 ▼a 0543
71020 ▼a Cornell University. ▼b Civil & Environmental Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0058
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999879 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033