Calibration of a compressive gravity thickening model from a single batch settling curve
A compressive gravity thickening model was calibrated from a single batch settling curve. This model was originally formulated in terms of the total suspended solids concentration, C, the dynamic pressure gradient, partial differential P/ partial differential z, and the gradient corresponding to the...
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Published in | Water Science & Technology Vol. 30; no. 8; pp. 107 - 116 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
London
IWA Publishing
01.01.1994
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Subjects | |
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Abstract | A compressive gravity thickening model was calibrated from a single batch settling curve. This model was originally formulated in terms of the total suspended solids concentration, C, the dynamic pressure gradient, partial differential P/ partial differential z, and the gradient corresponding to the compressive yield strength, partial differential sigma sub(y)/ partial differential z. Fitch (1975) demonstrated that the model could be formulated in terms of C and the solids concentration gradient, partial differential C/ partial differential z. Utilizing this formulation the model was calibrated with data generated from elementary quantitative analysis of the steady-state conditions attained in continuous thickening experiments. In this investigation the model was calibrated from a single batch settling curve. This was done using the down-hill simplex optimization method proposed by Nelder and Mead (1965) in a curve-fitting capacity. The optimization routine adjusted the model coefficients in order to reduce the discrepancy between the simulated results of the model and the corresponding experimental batch settling data. When calibrated by this method the model was found to accurately predict experimental continuous thickening behavior observed for the same sludge. |
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AbstractList | The Kos compressive gravity thickening model, used in the design of sedimentation basins, was calibrated on the basis of a single batch settling curve. The model was formulated in terms of the total suspended solids concentration and the solids concentration gradient and calibrated with data generated from elementary quantitative analysis of steady-state conditions attained in continuous thickening studies. A downhill simplex optimization routine was used for curve fitting. The routine adjusted the model coefficients to reduce the discrepancy between simulated results and batch settling data. As a result, the model accurately predicted experimental continuous thickening behaviour. A compressive gravity thickening model was calibrated from a single batch settling curve. This model was originally formulated in terms of the total suspended solids concentration, C, the dynamic pressure gradient, partial differential P/ partial differential z, and the gradient corresponding to the compressive yield strength, partial differential sigma sub(y)/ partial differential z. Fitch (1975) demonstrated that the model could be formulated in terms of C and the solids concentration gradient, partial differential C/ partial differential z. Utilizing this formulation the model was calibrated with data generated from elementary quantitative analysis of the steady-state conditions attained in continuous thickening experiments. In this investigation the model was calibrated from a single batch settling curve. This was done using the down-hill simplex optimization method proposed by Nelder and Mead (1965) in a curve-fitting capacity. The optimization routine adjusted the model coefficients in order to reduce the discrepancy between the simulated results of the model and the corresponding experimental batch settling data. When calibrated by this method the model was found to accurately predict experimental continuous thickening behavior observed for the same sludge. A compressive gravity thickening model (Kos and Adrian, 1974; Kos, 1978) was calibrated from a single batch settling curve. This model was originally formulated in terms of the total suspended solids concentration, C, the dynamic pressure gradient, ∂P/∂z, and the gradient corresponding to the compressive yield strength, ∂σy/∂z. Fitch (1975) demonstrated that the model could be formulated in terms of C and the solids concentration gradient, ∂C/∂z. Utilizing this formulation the model was calibrated with data generated from elementary quantitative analysis of the steady-state conditions attained in continuous thickening experiments (Vaccari, 1984; Vaccari and Uchrin, 1989). In this investigation the model was calibrated from a single batch settling curve. This was done using the down-hill simplex optimization method proposed by Nelder and Mead (1965) in a curve-fitting capacity. The optimization routine adjusted the model coefficients in order to reduce the discrepancy between the simulated results of the model and the corresponding experimental batch settling data. When calibrated by this method the model was found to accurately predict experimental continuous thickening behavior observed for the sludge. |
Author | Cacossa, K F Vaccari, DA |
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ContentType | Journal Article Conference Proceeding |
Copyright | Copyright IWA Publishing Oct 1994 |
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DOI | 10.2166/wst.1994.0392 |
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Snippet | A compressive gravity thickening model (Kos and Adrian, 1974; Kos, 1978) was calibrated from a single batch settling curve. This model was originally... The Kos compressive gravity thickening model, used in the design of sedimentation basins, was calibrated on the basis of a single batch settling curve. The... A compressive gravity thickening model was calibrated from a single batch settling curve. This model was originally formulated in terms of the total suspended... |
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SubjectTerms | Calibration Capacity Coefficients Compressive strength Computer simulation Concentration gradient Curve fitting Dynamic pressure Gravitation Gravity Methods Optimization Pressure gradients Quantitative analysis Settling Sludge Suspended particulate matter Thickening Total suspended solids |
Title | Calibration of a compressive gravity thickening model from a single batch settling curve |
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