Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

차수축소법을 이용한 다중연결해양부유체의 구조응답 예측정확도를 위한 유전 알고리즘 기반 센서 배치 최적화 연구A Study on Sensor Placement Optimization Based on Genetic Algorithm to Improve Structural Response Prediction Accuracy of Reduced Order Model for Multi-Linked Floating Offshore Structure

Alternative Title
A Study on Sensor Placement Optimization Based on Genetic Algorithm to Improve Structural Response Prediction Accuracy of Reduced Order Model for Multi-Linked Floating Offshore Structure
Authors
Sim, KichanLee, Kang suKi, Min SukPark, ByoungjaeKim, Byoung Wan
Issue Date
18-4월-2024
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/10799
Place
대한민국
제주 신화월드 랜딩컨벤션센터
metadata.conference.dc.citation.conferenceName
2024 한국전산구조공학회 정기학술대회
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Ki, Min Suk photo

Ki, Min Suk
친환경해양개발연구본부
Read more

Altmetrics

Total Views & Downloads

BROWSE