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A dynamic numerical method for models of renal tubules

  • Duke University

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

We show that an explicit method for solving hyperbolic partial differential equations can be applied to a model of a renal tubule to obtain both dynamic and steady-state solutions. Appropriate implementation of this method eliminates numerical instability arising from reversal of intratubular flow direction. To obtain second-order convergence in space and time, we employ the recently developed ENO (Essentially Non-Oscillatory) methodology. We present examples of computed flows and concentration profiles in representative model contexts. Finally, we indicate briefly how model tubules may be coupled to construct large-scale simulations of the renal counterflow system.

Original languageEnglish
Pages (from-to)547-565
Number of pages19
JournalBulletin of Mathematical Biology
Volume56
Issue number3
DOIs
StatePublished - May 1994

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