File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이영주

Lee, Young-Joo
Structural Reliability and Disaster Risk Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.title The 2017 World Congress on Advances in Structural Engineering and Mechanics (ASEM17) -
dc.contributor.author Ramachandra Prabhu, Sreehari -
dc.contributor.author Lee, Young-Joo -
dc.date.accessioned 2023-12-19T18:36:10Z -
dc.date.available 2023-12-19T18:36:10Z -
dc.date.created 2017-09-03 -
dc.date.issued 2017-08-31 -
dc.identifier.bibliographicCitation The 2017 World Congress on Advances in Structural Engineering and Mechanics (ASEM17) -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/34296 -
dc.language 영어 -
dc.publisher Int'l Association of Structural Engineering & Mechanics (IASEM), Korea Advanced Institute of Science & Technology (KAIST) -
dc.title Derivation of Paris' law parameters from S-N curve data: a Bayesian approach -
dc.type Conference Paper -
dc.date.conferenceDate 2017-08-28 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.