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

Seismic risk assessment of chemical plants using artificial neural network and ALOHA automation platform

Author(s)
Song, HyeonsungLee, SeungjunLee, Young-Joo
Issued Date
2024-09-30
URI
https://scholarworks.unist.ac.kr/handle/201301/84614
Citation
The 8th Asia-Pacific Symposium on Structural Reliability and Its Applications (APSSRA 2024)
Publisher
Ulsan National Institute of Science and Technology

qrcode

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