Title:
ARTIFICIAL INTELLIGENCE-BASED WIND LOAD ESTIMATION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/224313
Kind Code:
A1
Abstract:
The present invention relates to an artificial intelligence-based wind load estimation system which facilitates experiment setup and measurement by means of drastic reduction of the number of wind pressure holes and pressure transmission tubes in HFPI experiments, and can obtain accurate wind pressure data while enabling simultaneous wind pressure measurement for more target buildings.
Inventors:
KANG THOMAS HYUN KOO (KR)
LEE SANG MIN (KR)
LEE SANG MIN (KR)
Application Number:
PCT/KR2023/006392
Publication Date:
November 23, 2023
Filing Date:
May 11, 2023
Export Citation:
Assignee:
SEOUL NAT UNIV R&DB FOUNDATION (KR)
International Classes:
G01M9/06; G01M9/02; G01M9/08; G06N3/04; G06N3/08
Foreign References:
| KR101831906B1 | 2018-02-23 | |||
| JPH08184526A | 1996-07-16 | |||
| KR102025335B1 | 2019-09-25 | |||
| JP2021089158A | 2021-06-10 | |||
| KR102118886B1 | 2020-06-04 | |||
| KR102480382B1 | 2022-12-21 |
Attorney, Agent or Firm:
KIM, Locbae (KR)
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