Show simple item record

dc.creatorLjubičić, Robert
dc.creatorZindović, Budo
dc.creatorSavić, Ljubodrag
dc.date.accessioned2020-04-04T17:36:35Z
dc.date.available2020-04-04T17:36:35Z
dc.date.issued2018
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/1865
dc.description.abstractStilling basins are the most commonly used energy dissipating structure for large dams, due to their high operating reliability under a wide range of inflow conditions. However, unsatisfactory tailwater conditions, primarily low tailwater level, can necessitate the use of additional structural solutions for the stabilization of the occurring hydraulic jump. A possible solution to this issue is the use of the adverse-sloped basins, which use the weight of the water in the jump for jump stabilization. Adverse-slope basin design had attracted the interest of engineers and researchers in the last decade as a simple method for the reduction of the required tailwater depth and basin length. To this date, a number of analytical and empirical methods for the estimation of features of such jumps are developed. However, the applicability of these methods is hindered by their diverse accuracy and/or complexity. Based on the experimental measurements on a stepped spillway model, a multilayer perceptron model (MLP) was trained for the estimation of jump characteristics. An accuracy and sensitivity analyses were also performed for each used method. It was demonstrated that machine learning techniques can potentially provide significantly better results than certain analytical and empirical methods. This allows a simpler, faster, yet accurate analysis of the occurring hydraulic conditions in the early stages of design.en
dc.language.isoensr
dc.publisherSDHI/SDHsr
dc.rightsopenAccesssr
dc.sourceZbornik radova 18. savetovanja SDHI/SDHsr
dc.subjectstilling basinsr
dc.subjecthydraulic jumpsr
dc.subjectmachine learning techniquessr
dc.subjecthydraulic modelsr
dc.titleAdverse-slope stilling basins: machine learning approach to estimation of hydraulic jump featuresen
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_grafar_1865
dc.type.versionacceptedVersionsr


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record