Advances in Aircraft and Spacecraft Science
Volume 5, Number 3, 2018, pages 363-383
DOI: 10.12989/aas.2018.5.3.363
Analysis of Stokes flows by Carrera unified formulation
Alberto Varello, Alfonso Pagani, Daniele Guarnera and Erasmo Carrera
Abstract
One-dimensional (1D) models of incompressible flows, can be of interest for many applications in which fast resolution times are demanded, such as fluid-structure interaction of flows in compliant pipes and hemodynamics. This work proposes a higher-order 1D theory for the flow-field analysis of incompressible,
laminar, and viscous fluids in rigid pipes. This methodology is developed in the domain of the Carrera Unified Formulation (CUF), which was first employed in structural mechanics. In the
framework of 1D modelling, CUF allows to express the primary variables (i.e., velocity and pressure
fields in the case of incompressible flows) as arbitrary expansions of the generalized unknowns, which
are functions of the 1D computational domain coordinate. As a consequence, the governing equations can be expressed in terms of fundamental nuclei, which are invariant of the theory approximation order. Several numerical examples are considered for validating this novel methodology, including simple Poiseuille flows in circular pipes and more complex velocity/pressure profiles of Stokes fluids into nonconventional computational domains. The attention is mainly focused on the use of hierarchical McLaurin polynomials as well as piece-wise nonlocal Lagrange expansions of the generalized unknowns across the pipe section. The preliminary results show the great advantages in terms of computational costs of the proposed method. Furthermore, they provide enough confidence for future extensions to more complex fluid-dynamics problems and fluid-structure interaction analysis.
Key Words
one-dimensional Stokes flows; Carrera unified formulation; higher-order models
Address
Alberto Varello, Alfonso Pagani, Daniele Guarnera and Erasmo Carrera: Mul2, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli
Abruzzi 24, 10129 Torino, Italy