Algorithms for the Haar wavelet based fast evaluation of aggregation integrals in population balance equations

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• 作者：Sabine Le Borne ; ^{leborne@tuhh.de" class="auth_mail" title="E-mail the corresponding author} ; Lusine Shahmuradyan
• 关键词：Population balance equation ; Aggregation ; Locally refined nested grids ; Fast wavelet transformation
• 刊名：Applied Numerical Mathematics
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：108
• 期：Complete
• 页码：1-20
• 全文大小：763 K

文摘

In several production processes, the distribution of particles dispersed in an environmental phase may be mathematically described by the solution of population balance equations. We are concerned with the development of efficient numerical techniques for the aggregation process: It invokes an integral term that is usually numerically expensive to evaluate and often dominates the total simulation cost.

We describe an approach on locally refined nested grids to evaluate both the source and the sink terms in almost linear complexity (instead of quadratic complexity resulting from a direct approach). The key is to switch from a nodal to a wavelet basis representation of the density function. We illustrate the numerical performance of this approach, both in comparison to a discretization of piecewise constant functions on a uniform grid as well as to the fixed pivot method on a geometric grid.