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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Le, Thi Thu Hien | vi |
dc.date.accessioned | 2023-03-14T08:24:25Z | - |
dc.date.available | 2023-03-14T08:24:25Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1859-3941 | vi |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/12279 | - |
dc.description.abstract | The phenomenon of scouring at downstream of sluice or culvert has engrossed the attention of many researchers due to its importance in ensuring the safety of hydraulic structures. Persistent scouring may lead to exposure of the foundations of these structures, thereby causing a threat to their stability. In this study, three methods, namely: physical model, numerical model, artificial inteligent (AI) approach used to predict scour hole geometry are reviewed. Understanding their limitations, strengths and their basic scope of applicability can help researchers select a sufficient tool in predicting scouring problem. | vi |
dc.language | en_US | vi |
dc.publisher | Trường Đại học Thuỷ lợi | vi |
dc.relation.ispartofseries | Tạp chí Khoa học Thủy lợi và Môi trường, Số 82 - Số Tiếng Anh (12/2022), tr.87-95 | vi |
dc.subject | Sediment scour | vi |
dc.subject | Physical model | vi |
dc.subject | Numerical model | vi |
dc.subject | AI approach | vi |
dc.title | Review methods on predicting sediment scour at downstream of hydraulic works | vi |
dc.type | BB | vi |
Appears in Collections: | 2022 |
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