Abstract
This paper is concerned with a topological sensitivity analysis for the two dimensional incompressible Navier–Stokes equations. We derive a topological asymptotic expansion for a shape functional with respect to the creation of a small geometric perturbation inside the fluid flow domain. The geometric perturbation is modeled as a small obstacle. The asymptotic behavior of the perturbed velocity field with respect to the obstacle size is discussed. The obtained results are valid for a large class of shape fonctions and arbitrarily shaped geometric perturbations. The established topological asymptotic expansion provides a useful tool for shape and topology optimization in fluid mechanics.
Keywords
Introduction
In fluid mechanics, shape and topology optimization methods have wide fields of applications in aerodynamic, cardiology, biology and hydrodynamic problems. One of the first studies was developed by Pironneau in [36]. After that, many shape optimization approaches are performed to determine the design of minimum drag bodies [27,37], valves [31], diffuser [12], airfoils [15] and optimization of heat exchangers design [16]. The majority of the classical methods dealing with optimal design of flow domains are limited to determine the optimal shape of an existing boundary.
To remedy this drawback, various topology optimization based methods have been developed during the two last decades. In contrast to shape optimization, where only the boundary of the design domain is optimized and the topology of the structure is kept unchanged, topology optimization allows the creation of new geometric perturbations during the optimization process. For instance, one can cite the work of Borrvall and Petersson [11]. Based on the density approach, they performed a topology optimization method to minimize the power dissipated in a Stokes flow problem. The main idea of this method is based on the parametrization technique where the fluid flow domain has been identified by its characteristic function. Furthermore, based on this methodology, various numerical approaches have been carried out to solve engineering applications for fluidic devices in Stokes flow [11], Navier–Stokes flows [20], Darcy-Stokes flows [21], non-Newtonian flows [35] and Stokes-Brinkmann flows [39].
Recently, the topological sensitivity notion [1–4,7,9,10,19,23–25,34] gives new perspectives on shape and topology optimization. It provides an asymptotic expansion of a cost function with respect to the creation of a small hole in the domain. The topology of the computational domain can change during the optimization process. The most simple way of modifying the topology consists in creating a small hole in the considered domain. In the case of structural topology optimization, creating a hole means simply removing some material. In the case of fluid mechanics where the domain represents the fluid, creating a hole means inserting an obstacle
In fluid mechanics, the topological sensitivity analysis approach has been the subject of several theoretical and numerical studies. Indeed, the expressions of the topological derivatives have been calculated for a variety of shape functions depending on the domain Ω via the velocity field of the fluid in the two and three dimensional cases. Various topological gradient-based algorithms have been investigated and applied for dealing with valuable applications in fluid mechanics. One can refer to the optimization of the injectors location in a lake for maximizing the oxygenation process [22,26], topology and shape optimization in Stokes flow [24], detecting of flaws location in moulds filling process [9], control of mechanical aeration process [4], geometric control problem in Stokes flow [3], concentration phenomena [41], etc..
In this work, we extend the topological sensitivity analysis notion to the non stationary Navier–Stokes problem. The aim is to derive a topological asymptotic expansion for the full nonlinear Navier–Stokes operator, which provide an interesting tool for topology optimization in fluid mechanics. From the mathematical point of view, the main difficulties arise from the non-linearity of the operator. For instance, the derivation of the energy estimate should be examined in a different way compared to the linear case since the used functional spaces depend on ε in a very non trivial way.
In this paper, we will present two main results. The first one concerns the velocity field variation caused by the presence of a small obstacle
The second main result provides a topological sensitivity analysis for the full non-linear Navier–Stokes operator with respect to the creation of a small geometric perturbation inside the fluid flow domain. We will derive a topological asymptotic expansion valid for a large class of shape functions and arbitrarily shaped perturbations. The proposed mathematical analysis is general and can be adapted for various non-linear partial differential equations (PDEs).
The rest of this paper is organized as follows. Section 2 is concerned with the formulation of the considered problem. In Section 2.1, we present the Navier–Stokes equations and we recall some existence and uniqueness results. The perturbed Navier–Stokes problem is described in Section 2.2. In Section 3, we examine the influence of the inserted obstacle
Formulation of the problem
Let
In (2.1), we use the standards notation
Weak formulation and well-posedness
In this section, we recall some results concerning the well-posedness of the full Navier–Stokes problem. To this end, we introduce the following required functional spaces
An existence result: In ([40], Theorem 3.1, p. 226), R. Temam proved that the problem (2.2)–(2.5) admits at least one solution. The presented proof is based on the construction of an approximate solution by the Galerkin method. The convergence of the constructed sequence is established with the help of a compactness theorem. The result is valid for each open Lipschitzian set A uniqueness result: The uniqueness result is presented for the two dimensional case in ([40], Theorem 3.2, p. 235), see also J.L. Lions and G. Prodi [33]. It is based on the following lemma
For any open set
As a consequence of (2.6), the unique solution of the Navier–Stokes equations (if exists) satisfies
Some regularity results: As a regularity result, it is proved in ([40], see Theorem 3.6, p. 242) that if Ω is a bounded set of class In the literature, there are many others regularity results for the weak solution to the Navier–Stokes equations. For instance, we recall the following theorem, which has been proved in ([38], p. 49-51) in the two space dimensions.
Assume that
According to ([40], Remark 3.7, p. 243), it is important to signal that one can obtain a smooth solution to the full Navier–Stokes equations if the given data are regular. Particularly, if Ω is of class
Let
The purpose of this work
Let j be a shape function defined as:
The purpose of this work is to derive a topological asymptotic expansion for the full non-linear Navier–Stokes operator, valid for a large class of shape functions j and arbitrarily shaped geometric perturbation
In order to derive the expected asymptotic formula, we will start our analysis by evaluating the influence of the geometric perturbation
In order to focus our efforts on the topological sensitivity analysis for the full nonlinear Navier–Stokes operator, which is the main objective of this paper, we introduce an additional assumption to overcome difficulties caused by the lack of regularity in data.
The source term G and the initial velocity There exists
The assumption The assumption
In this section, we examine the influence of the inserted obstacle
The following Theorem gives an estimate of the velocity field variation caused by the presence of a small obstacle
Let
In order to prove Theorem 3.1, we first introduce some notations and state the Navier–Stokes type problem that satisfied by
Setting:
The first term The second term The third term
In this paragraph, we examine the first part of
There exists a constant
To prove this result, we need some preliminary estimates related to the non-stationary Stokes equations.
In the following lemma, we recall a standard energy estimate for the non-stationary Stokes problem.
(See [6], Theorems 8.2.3 and 8.2.9).
Let
For the proof and more details about this result, one can consult ([6], Chapter 8). More precisely, this estimate has been established for a general parabolic operator in Section 8.2.2 (see Theorem 8.2.3). The Stokes operator is discussed in Section 8.2.3 (see Theorem 8.2.9). □
Let
For the proof and more details about this result, one can consult [14, Theorem 1.43]. More precisely, this estimate has been established for a general parabolic operator with the help of [14, Theorem 1.42(v)] and [8, Theorem II]. □
Applying the previous Lemma in the particular case
Let
Using the fact that the function
Recall that we aim to prove that there exists a constant
Integrating by parts in time, the first term on the right-hand-side of the equality (3.19) can be written as
On the other hand, from the previous estimate and (3.19), one can deduce
Estimate of the term
The second part of
There exists a constant
As one can observe here the behavior of the term
(See [13], Lemma C.3).
Let
(See [13], Lemma 4.1).
Let
A detailed proof of this estimate is given in ([13], Appendix C, pages 360–363). □
Due to Lemma 3.8, one can check that there exists a constant
The term
Estimate of the term
This section is concerned with the third part of
There exists a constant
To prove this result, we need some preliminary results for treating the nonlinear and convection terms.
In the perturbed domain
Let
Since
Let
(see [17], Lemma IX.1.1, p. 588).
Proof of Proposition 3.9
Aiming to derive the estimate (3.29), we start our proof by applying the weak formulation of the system (3.12). Then, one can get
Step 1: We will examine the terms Estimate of the term involving From the fact that The domain Ω is bounded in such a way that there exists Estimate of the term involving Estimate of the term involving Estimate of the term involving Estimate of the term involving Step 2: Step 3:
Finally, combining the relations (3.43), (3.44) and (3.45) one can deduce that there exists
Then, we have
Sensitivity analysis framework
This section is concerned with the development of a general mathematical framework for the topological sensitivity analysis of the function j with respect to the inserted obstacle size ε. We will derive a topological asymptotic expansion valid for all function
The function For each There exists a real number The associated adjoint problem: find
In this study, we will examine the variation of the shape function j with respect to the location z and the size ε of the inserted obstacle
Let
To prove this theorem, we proceed by establishing some preliminary estimates. Using the assumption
Then, the last estimate becomes
Consequently, all shape functions j satisfying the assumption
