Using CFD and mathematical optimization to investigate air pollution due to stacks

DOI<551::AID-NME519>3.0.CO;2-7 10.1002/(SICI)1097-0207(19990210)44:4<551::AID-NME519>3.0.CO;2-7zbMath0943.76027OpenAlexW1998495984MaRDI QIDQ4267084

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Publication date: 5 September 2000

Full work available at URL: https://doi.org/10.1002/(sici)1097-0207(19990210)44:4<551::aid-nme519>3.0.co;2-7

zbMATH Keywords

air pollutioncomputational fluid dynamicsmathematical optimizationstreet canyonRNG \(k\)-epsilon turbulence modelDYNAMIC-Q methodminimization of pollutant stack distanceSTAR-CD code

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) (k)-(varepsilon) modeling in turbulence (76F60) Meteorology and atmospheric physics (86A10) Dusty-gas two-phase flows (76T15) Flow control and optimization for incompressible viscous fluids (76D55)

Related Items (5)

Using mathematical optimization in the CFD analysis of a continuous quenching process ⋮ The dynamic-Q optimization method: an alternative to SQP? ⋮ Optimal structural design of a planar parallel platform for machining ⋮ An improved version of DYNAMIC-Q for simulation-based optimization using response surface gradients and an adaptive trust region ⋮ The LFOPC leap-frog algorithm for constrained optimization

Uses Software

• STAR-CD

Cites Work

• An improved version of the original leap-frog dynamic method for unconstrained minimization: LFOP1(b)
• A new and dynamic method for unconstrained minimization
• Penalty function solutions to optimal control problems with general constraints via a dynamic optimisation method
• A dynamic penalty function method for the solution of structural optimization problems
• New successive approximation method for optimum structural design
• On the robustness and efficiency of the SAM algorithm for structural optimization

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