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Comparison of two-and three-dimensional modeling of invert trap for sewer solid management

Particuology 2008年第3期6卷 176-184页

作者： Tsewang Thinglas Deo Raj Kaushal Civil Engineering Department IIT DelhiHauz KhasNew Delhi 110016India

In the present study, five different invert trap configurations （rectangular with and without lids on both sides; trapezoidal, trapezoidal with rectangular base and rectangular with trapezoidal base with lids on both sides） were simulated for both two-dimensional （2D） and three-dimensional （3D） flow conditions for three sediment types （sand, styrocell and plastic beads） at six flow rates （0.35, 0.70, 1.05, 1.35, 4.55 and 9.95 L/s） for each trap. Computational fluid dynamics （CFD）-based modeling using FLUENT software with Renormalization Group （RNG） k-e model along with discrete phase model （DPM） were used in the simulations. A hexagonal/tetrahedral and map-type non-uniform grid was chosen to discretize the entire computational domain and a control volume finite difference method was used to solve the governing equations. The flow rates selected in the present study cover the entire range of flow rate expected for dry weather and monsoon. The simulation is capable of differentiating between 2D and 3D modeling of particle trajectories, the effects of flow rate and trap geometry on flow patterns developed in the trap. The sediment retention ratio for 2D is higher than that for 3D modeling for all flow conditions, particle types and model geometry due to inclusion of lateral effects in 3D modeling. The invert trap having rectangular shape with trapezoidal base is found to be the most efficient configuration in both 2D and 3D modeling.

关键词： CFD modeling 2D 3D Invert trap Sediment trapping urban drainage

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Collector efficiency for hydrosol deep-bed filtration of non-Brownian particles at low and finite Reynolds numbers

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Particuology 2020年第6期18卷 124-133页

作者： Haochen Li John Sansalone Engineering School of Sustainable Infrastructure and Environment(ESSIE) College of EngineeringUniversity of Florida217 BlackGainesvilleFL 32611USA

Aqueous filtration systems with granular media are increasingly implemented as a unit operation for the treatment of urban *** of these aqueous filtration systems are designed with coarse granular media and are therefore subject to finite granular Reynolds numbers(Reg).In contrast to the Reg conditions generated by such designs,current hydrosol filtration models,such as the Yao and RT models,rely on a flow solution that is derived within the Stokes limit at low *** systems that are subject to these finite and higher Reg regimes,the collector efficiency has not been ***,in this study,we develop a 3D periodic porosity-compensated face-centered cubic sphere(PCFCC)computational fluid dynamics(CFD)model,with the surface interactions incorporated,to investigate the collector efficiency for Reg ranging from 0.01 to *** filtration induced by interception and sedimentation is examined for non-Brownian particlesfanging from 1 to 100 μm under favorable surface interactions for particle *** results from the CFD-based PCFCC model agreed well with those of the classical RT and Yao models for Reg<*** on 3150 simulations from the PCFCC model,we developed a new correlation for vertical aqueous filtration based on a modified gravitation number,NG^*,for the initial deep-bed filtration efficiency at lower yet finite(0.01 to 20)*** proposed PCFCC model has low computational cost and is extensibile from vertical to horizontal filtration at low and finite Reg.

关键词： Deep-bed filtration Granular filtration Unit operations Stormwater urban water urban drainage

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Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

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International Journal of Sediment Research 2020年第2期35卷 157-170页

作者： Isa Ebtehaj Hossein Bonakdari Mir Jafar Sadegh Safari Bahram Gharabaghi Amir Hossein Zaji Hossien Riahi Madavar Zohreh Sheikh Khozani Mohammad Sadegh Es-haghi Aydin Shishegaran Ali Danandeh Mehr Department of Civil Engineering Razi University Environmental Research Center Razi University Department of Civil Engineering Yasar University 4. School of EngineeringUniversity of Guelph 5. Department of Water EngineeringVali-e-Asr University of Rafsanjan 6. Smart and Sustainable Township Research CenterFaculty of Engineering&Built EnvironmentUniversiti Kebangsaan Malaysia 7. School of Civil EngineeringK.N.Toosi University of Technology 8. Department of Waterand EnvironmentalIran University of Science and Technology 9. Department of Civil EngineeringAntalya Bilim University

Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering ***,the limiting velocity should be determined to keep the channel bottom clean from sediment ***,sediment transport modeling using various artificial intelligence(AI) techniques has attracted the interest of many *** current integrated study highlights unique insight for modeling of sediment transport in sewer and urban drainage systems.A novel methodology based on the combination of sensitivity and uncertainty analyses with a machine learning technique is proposed as a tool for selection of the best input combination for modeling process at non-deposition conditions of sediment *** one to seven dimensionless parameters,127 models are developed in the current *** order to evaluate the different parameter co mbinations and select the training and te sting data,four strategies are *** the densimetric Froude number(Fr) as the dependent parameter,a model with independent parameters of volumetric sediment concentration(CV) and relative particle size(d/R) gave the best results with a mean absolute relative error(MARE) of 0.1 and a root means square error(RMSE) of *** analysis is applied with a machine learning technique to investigate the credibility of the proposed *** percentage of the observed sample data bracketed by95% predicted uncertainty bound(95 PPU) is computed to assess the uncertainty of the best models.

关键词： Non-deposition Sediment transport Sensitivity analysis Sewer Uncertainty analysis urban drainage

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