Application of incomplete self-similarity argument for predicting bed-material load discharge
By applying the incomplete self-similarity argument, this study presents a structural analysis of models for predicting bed-material load discharge, which can be formulated consistently according to the number of independent variables considered. The coefficients involved in the proposed models are...
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sg-ntu-dr.10356-839152020-03-07T11:43:42Z Application of incomplete self-similarity argument for predicting bed-material load discharge Cheng, Nian-Sheng School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering By applying the incomplete self-similarity argument, this study presents a structural analysis of models for predicting bed-material load discharge, which can be formulated consistently according to the number of independent variables considered. The coefficients involved in the proposed models are calibrated with published laboratory and field data (comprising almost 6,600 records). In comparison with the six bed-material formulas that are recommended in the recently updated ASCE manual on sedimentation engineering, the proposed models show significant improvements on the prediction of bed-material load discharge. This study also implies that the model developed, based on regular regression analysis, can be enhanced by considering interaction terms of independent variables. Accepted version 2012-03-20T04:29:59Z 2019-12-06T15:34:31Z 2012-03-20T04:29:59Z 2019-12-06T15:34:31Z 2011 2011 Journal Article Cheng, N. S. (2011). Application of Incomplete Self-Similarity Argument for Predicting Bed-Material Load Discharge. Journal of Hydraulic Engineering, 137(9), 921-931. 0733-9429 https://hdl.handle.net/10356/83915 http://hdl.handle.net/10220/7641 10.1061/(ASCE)HY.1943-7900.0000375 en Journal of hydraulic engineering © 2011 ASCE. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Hydraulic Engineering, American Society of Civil Engineers. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000375]. application/pdf |
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DRNTU::Engineering::Civil engineering Cheng, Nian-Sheng Application of incomplete self-similarity argument for predicting bed-material load discharge |
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By applying the incomplete self-similarity argument, this study presents a structural analysis of models for predicting bed-material load discharge, which can be formulated consistently according to the number of independent variables considered. The coefficients involved in the proposed models are calibrated with published laboratory and field data (comprising almost 6,600 records). In comparison with the six bed-material formulas that are recommended in the recently updated ASCE manual on sedimentation engineering, the proposed models show significant improvements on the prediction of bed-material load discharge. This study also implies that the model developed, based on regular regression analysis, can be enhanced by considering interaction terms of independent variables. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Cheng, Nian-Sheng |
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Cheng, Nian-Sheng |
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Cheng, Nian-Sheng |
title |
Application of incomplete self-similarity argument for predicting bed-material load discharge |
title_short |
Application of incomplete self-similarity argument for predicting bed-material load discharge |
title_full |
Application of incomplete self-similarity argument for predicting bed-material load discharge |
title_fullStr |
Application of incomplete self-similarity argument for predicting bed-material load discharge |
title_full_unstemmed |
Application of incomplete self-similarity argument for predicting bed-material load discharge |
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application of incomplete self-similarity argument for predicting bed-material load discharge |
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2012 |
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https://hdl.handle.net/10356/83915 http://hdl.handle.net/10220/7641 |
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