The Application of Soft Computing Models and Empirical Formulations for Hydraulic Structure Scouring Depth Simulation: A Comprehensive Review, Assessment and Possible Future Research Direction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11831-019-09382-4.pdf
Reference247 articles.
1. Aderibigbe O, Rajaratnam N (1998) Effect of sediment gradation on erosion by plane turbulent wall jets. J Hydraul Eng 124(10):1034–1042
2. Adhikari RS, Moselhi O, Bagchi A (2012) Automated prediction of condition state rating in bridge inspection. Gerontechnology. https://doi.org/10.4017/gt.2012.11.02.153.00
3. Afzali SH (2016) New model for determining local scour depth around piers. Arab J Sci Eng. https://doi.org/10.1007/s13369-015-1983-4
4. Ahmad Z (2007) Two-dimensional mixing of pollutants in open channels. A technical report submitted to DST, New Delhi
5. Akhmedov TH (1988) Calculation of the depth of scour in rock downstream of a spillway. In: International water power and dam construction IWPCDM 40
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