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dc.contributor.authorLe, Thi Thu Hienvi
dc.date.accessioned2023-03-14T08:24:25Z-
dc.date.available2023-03-14T08:24:25Z-
dc.date.issued2022-
dc.identifier.issn1859-3941vi
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/12279-
dc.description.abstractThe 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.languageen_USvi
dc.publisherTrường Đại học Thuỷ lợivi
dc.relation.ispartofseriesTạp chí Khoa học Thủy lợi và Môi trường, Số 82 - Số Tiếng Anh (12/2022), tr.87-95vi
dc.subjectSediment scourvi
dc.subjectPhysical modelvi
dc.subjectNumerical modelvi
dc.subjectAI approachvi
dc.titleReview methods on predicting sediment scour at downstream of hydraulic worksvi
dc.typeBBvi
Appears in Collections:2022

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