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

Derivation of Paris' law parameters from S-N curve data: a Bayesian approach

Author(s)
Ramachandra Prabhu, SreehariLee, Young-Joo
Issued Date
2017-08-31
URI
https://scholarworks.unist.ac.kr/handle/201301/34296
Citation
The 2017 World Congress on Advances in Structural Engineering and Mechanics (ASEM17)
Publisher
Int'l Association of Structural Engineering & Mechanics (IASEM), Korea Advanced Institute of Science & Technology (KAIST)

qrcode

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