TY - JOUR
T1 - Shape optimization of Stokesian peristaltic pumps using boundary integral methods
AU - Bonnet, Marc
AU - Liu, Ruowen
AU - Veerapaneni, Shravan
N1 - Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - This article presents a new boundary integral approach for finding optimal shapes of peristaltic pumps that transport a viscous fluid. Formulas for computing the shape derivatives of the standard cost functionals and constraints are derived. They involve evaluating physical variables (traction, pressure, etc.) on the boundary only. By employing these formulas in conjunction with a boundary integral approach for solving forward and adjoint problems, we completely avoid the issue of volume remeshing when updating the pump shape as the optimization proceeds. This leads to significant cost savings and we demonstrate the performance on several numerical examples.
AB - This article presents a new boundary integral approach for finding optimal shapes of peristaltic pumps that transport a viscous fluid. Formulas for computing the shape derivatives of the standard cost functionals and constraints are derived. They involve evaluating physical variables (traction, pressure, etc.) on the boundary only. By employing these formulas in conjunction with a boundary integral approach for solving forward and adjoint problems, we completely avoid the issue of volume remeshing when updating the pump shape as the optimization proceeds. This leads to significant cost savings and we demonstrate the performance on several numerical examples.
KW - Fast algorithms
KW - Integral equations
KW - Shape sensitivity analysis
U2 - 10.1007/s10444-020-09761-7
DO - 10.1007/s10444-020-09761-7
M3 - Article
AN - SCOPUS:85080126466
SN - 1019-7168
VL - 46
JO - Advances in Computational Mathematics
JF - Advances in Computational Mathematics
IS - 2
M1 - 18
ER -