Adjoint-based optimization of particle trajectories in laminar flows

被引：1

作者：

Resendiz, Edgar ^{[1
]}

Pinnau, Rene ^{[2
]}

机构：

[1] Technol Inst Saltillo, Div Postgrad Studies & Res, Saltillo 25280, Coahuila, Mexico

[2] Tech Univ Kaiserslautern, Fachbereich Math, D-67653 Kaiserslautern, Germany

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2014年 / 248卷

关键词：

Optimal control; Particle-flow interactions; Fictitious domain methods; Adjoint calculus; Numerics; Steepest descent; MULTIPLIER/FICTITIOUS DOMAIN METHOD; DIRECT NUMERICAL SIMULATIONS; MOVING RIGID BODIES; TURBULENT; MOTION; DYNAMICS; DISPERSION; SYSTEMS;

D O I：

10.1016/j.amc.2014.10.007

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We present a performant numerical algorithm for the optimal control of particle controls in low Reynolds number flows. In particular, circular particles with mass are considered. An optimal control problem for the particle trajectories is presented, which is solved by means of a steepest descent algorithm. Here, the derivative information is obtained using adjoint calculus. Finally, numerical results are presented underlining the feasibility of our approach. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：567 / 583

页数：17

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