ML modelling on prediction of residual strength of RC column exposed to fire by FEM numerical data
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Hyun-Kyoung | ko |
| dc.contributor.author | Kwak, Hyo-Gyoung | ko |
| dc.date.accessioned | 2023-12-20T08:01:43Z | - |
| dc.date.available | 2023-12-20T08:01:43Z | - |
| dc.date.created | 2023-12-04 | - |
| dc.date.issued | 2023-05-18 | - |
| dc.identifier.citation | NAFEMS World Congress 2023 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/316741 | - |
| dc.language | English | - |
| dc.publisher | NAFEMS | - |
| dc.title | ML modelling on prediction of residual strength of RC column exposed to fire by FEM numerical data | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | NAFEMS World Congress 2023 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Tampa, Florida | - |
| dc.contributor.localauthor | Kwak, Hyo-Gyoung | - |
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