A finite element implementation of the incompressible Schrödinger flow method

Author:

Riva Stefano1ORCID,Introini Carolina1ORCID,Cammi Antonio1ORCID

Affiliation:

1. Politecnico di Milano, Department of Energy, CeSNEF-Nuclear Engineering Division , Nuclear Reactors Group - via La Masa, 34 20156 Milano, Italy

Abstract

As first proposed by Madelung in 1926, the analogy between quantum mechanics and hydrodynamics has been known for a long time; however, its potentialities and the possibility of using the characteristic equations of quantum mechanics to simulate the behavior of inviscid fluids have not been thoroughly investigated in the past. In this methodology, the incompressible Euler equations are thus substituted by the Schrödinger equation, turning a quasi-linear Partial Differential Equation into a linear one, an algorithm known in the literature as Incompressible Schrödinger Flow. Previous works on the subject used the Fast Fourier Transform method to solve this problem, obtaining promising results, especially in predicting vortex dynamics; this paper aims to implement this novel approach into a Finite Element framework to find a more general formulation better suited for future application on complex geometries and on test cases closer to real-world applications. Simple case studies are presented in this work to analyze the potentialities of this method: the results obtained confirm that this method could potentially have some advantages over traditional Computational Fluid Dynamics method, especially for what concerns computational savings related to the required time discretization, whilst also introducing new aspects of the algorithm, mainly related to boundary conditions, not addressed in previous works.

Publisher

AIP Publishing

Reference37 articles.

1. Unified form language: A domain-specific language for weak formulations of partial differential equations;ACM Trans. Math. Software,2014

2. Experimental and theoretical investigation of backward-facing step flow;J. Fluid Mech.,1983

3. Baratta, I. A. , Dean, J.P., Dokken, J.S., Habera,M., Hale, J.S., Richardson, C.N., Rognes, M.E., Scroggs, M.W., Sime,N., and Wells, G.N. (2023), “DOLFINx: The next generation FEniCS problem solving environment,” Zenodo. https://doi.org/10.5281/zenodo.10447666.

4. Chern, A., “ Fluid dynamics with incompressible schroedinger flow,” Ph.D. thesis ( California Institute of Technology, 2017).

5. Schrödinger's smoke;ACM Trans. Graphics,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3