| 1. |
- Chalupecky, Vladimir, et al.
(författare)
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Macroscopic corrosion front computations of sulfate attack in sewer pipes based on a micro-macro reaction-diffusion model
- 2012
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Ingår i: Multiscale Mathematics. - : Kyushu University, Japan. ; , s. 22-31
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Konferensbidrag (refereegranskat)abstract
- We consider a two-scale reaction diffusion system able to capture the corrosion of concrete with sulfates. Our aim here is to define and compute two macroscopic corrosion indicators: typical pH drop and gypsum profiles. Mathematically, the system is coupled, endowed with micro-macro transmission conditions, and posed on two different spatially-separated scales: one microscopic (pore scale) and one macroscopic (sewer pipe scale). We use a logarithmic expression to compute values of pH from the volume averaged concentration of sulfuric acid which is obtained by resolving numerically the two-scale system (microscopic equations with direct feedback with the macroscopic diffusion of one of the reactants). Furthermore, we also evaluate the content of the main sulfatation reaction (corrosion) product---the gypsum---and point out numerically a persistent kink in gypsum's concentration profile. Finally, we illustrate numerically the position of the free boundary separating corroded from not-yet-corroded regions.
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| 2. |
- Kruschwitz, Jens, et al.
(författare)
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Modelling, simulation and parameter identification of active pollution reduction with photocatalytic asphalt
- 2019
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Ingår i: Acta Polytechnica. - Prague : Czech Technical University in Prague. - 1210-2709 .- 1805-2363. ; 59:1, s. 51-58
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Tidskriftsartikel (refereegranskat)abstract
- We develop and implement a numerical model to simulate the effect of photocatalytic asphalt on reducing the concentration of nitrogen monoxide (NO) due to the presence of heavy traffic in an urban environment. The contributions in this paper are threefold: we model and simulate the spread and breakdown of pollution in an urban environment, we provide a parameter estimation process that can be used to find missing parameters, and finally, we train and compare this simulation with different data sets. We analyse the results and provide an outlook on further research.
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