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RISS 인기검색어
- 검색키워드
- 저자 : Yarahmadi, Ali (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Study of Scour and Flow Patterns around Triangular-Shaped Spur Dikes
Mohammad Bahrami-Yarahmadi,Stefano Pagliara,Elham Yabarehpour,Noushin Najafi 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.11
River bank erosion can upset the balance of the river and its aquatic habitat, as well as the lands and facilities adjacent to the river. As hydraulic structures, spur dikes are constructed perpendicularly to erodible river banks in an attempt to divert the flow toward the middle of the channel as a measure for reducing and controlling river bank erosion. The expansion of the scour hole at the tip of the spur dike can lead to structure failure. Inclining the horizontal crest of the rectangular spur dikes (called triangular-shaped spur dike) can reduce the scouring at their tips. There are limitations on the design criteria for this newly-introduced structure. In the present study, the scour patterns developed around triangular spur dikes were examined under different hydraulic conditions and compared these patterns with those obtained for common type of spur dikes (rectangular spur dikes). The three-dimensional velocity components around triangular and rectangular spur dikes were also measured. According to the results, maximum scour hole depth and volume were smaller in the triangular spur dikes than in their rectangular counterparts. Quantitatively, on average, maximum scour hole depth and volume in the former were, respectively, 44% and 70% less than those in the latter. Based on the analyzed the flow patterns, it is recommended that the spacing between the triangular spur dikes should not exceed 5.5 times the effective length of the structure.
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Tatar, Afshin,Barati, Ali,Yarahmadi, Ali,Najafi, Adel,Lee, Moonyong,Bahadori, Alireza Elsevier 2016 International journal of greenhouse gas control Vol.47 No.-
<P><B>Abstract</B></P> <P>Clear knowledge about the solubility of acid gases such as CO<SUB>2</SUB> in different solvents at different states is very important, especially for carbon capture from flue gases. This study highlights the application of artificial intelligence in prediction of carbon dioxide solubility in a mix solvent of methyldiethanolamine and <I>N</I>-methylpyrrolidone at wide range of temperature and pressure.</P> <P>The input data of the models were temperature, pressure, and saturation pressure and the output parameter was the solubility of CO<SUB>2</SUB>. Different intelligent approaches such as MLP-ANN, GA-RBF, CSA-LSSVM, Hybrid-ANFIS, PSO-ANFIS, and CMIS were developed and the reliability of models was investigated through different graphical and statistical methods. Result showed that the developed models are accurate and predictive for estimation of experimental solubility data. However, the CMIS approach exhibited better results compared to other intelligent approaches. Results of this study showed that intelligent based algorithms are powerful alternatives for time-consuming and difficult experimental processes of solubility measurement.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Different models are utilized to predict carbon dioxide solubility in mix solvent of methyldiethanolamine and <I>N</I>-methylpyrrolidone. </LI> <LI> The CMIS approach exhibited better results compared to other intelligent approaches. </LI> <LI> The reliability of models was investigated through different graphical and statistical methods. </LI> <LI> The models show excellent agreement with experimental data. </LI> </UL> </P>
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