Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83915
Title: Application of incomplete self-similarity argument for predicting bed-material load discharge
Authors: Cheng, Nian-Sheng
Keywords: DRNTU::Engineering::Civil engineering
Issue Date: 2011
Source: Cheng, N. S. (2011). Application of Incomplete Self-Similarity Argument for Predicting Bed-Material Load Discharge. Journal of Hydraulic Engineering, 137(9), 921-931.
Series/Report no.: Journal of hydraulic engineering
Abstract: 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.
URI: https://hdl.handle.net/10356/83915
http://hdl.handle.net/10220/7641
ISSN: 0733-9429
DOI: 10.1061/(ASCE)HY.1943-7900.0000375
Schools: School of Civil and Environmental Engineering 
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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