Abstract:This paper establishes the shape derivative of geometry-dependent objective functions for use in constrained variational problems. Using a Lagrangian approach, our differentiablity result is based on the theorem of Delfour–Zolésio on directional derivatives with respect to a parameter of shape perturbation. As the key issue of the paper, we analyze the bijection under the kinematic transport of geometries that is needed for function spaces and feasible sets involved in variational problems. Our abstract theore… Show more
“…In a similar way, we can prove that {u n } is bounded in V, and by passing to a subsequence if necessary, we have u n u in V, as n → ∞, for some u ∈ Γ(a) (see ( 14)). By the same reasoning as in (15), we conclude inf b∈A J κ (b) = J κ (a), that is, a ∈ A is a solution to problem 3.1. Hence the solution set of problem 3.1 is weakly compact.…”
Section: Claim 2 For Eachmentioning
confidence: 61%
“…(3) It would be important to derive optimality conditions for problem 4.1. This is an interesting open problem for the future research which is related to the recent shape differentiability result in the state-constrainted optimization, see [15]. Further, it would be also desirable to develop numerical techniques for the state-constrained optimization problem.…”
Section: And the Set Of Admissible Parameters A Is Defined Bymentioning
This paper is devoted to studying an inverse problem of parameter identification in a nonlinear quasi-hemivariational inequality posed in a Banach space. We employ the Kluge's fixed point theorem for the set-valued selection map, use the Minty approach and some properties of the Clarke subgradient to prove that the quasi-hemivariational inequality associated to the inverse problem has a nonempty, bounded, and weakly compact solution set. We develop a general regularization framework to provide an existence result for the inverse problem. As an illustrative application, we study an identification inverse problem in a complicated mixed elliptic boundary value problem with p -Laplace operator and an implicit obstacle.
“…In a similar way, we can prove that {u n } is bounded in V, and by passing to a subsequence if necessary, we have u n u in V, as n → ∞, for some u ∈ Γ(a) (see ( 14)). By the same reasoning as in (15), we conclude inf b∈A J κ (b) = J κ (a), that is, a ∈ A is a solution to problem 3.1. Hence the solution set of problem 3.1 is weakly compact.…”
Section: Claim 2 For Eachmentioning
confidence: 61%
“…(3) It would be important to derive optimality conditions for problem 4.1. This is an interesting open problem for the future research which is related to the recent shape differentiability result in the state-constrainted optimization, see [15]. Further, it would be also desirable to develop numerical techniques for the state-constrained optimization problem.…”
Section: And the Set Of Admissible Parameters A Is Defined Bymentioning
This paper is devoted to studying an inverse problem of parameter identification in a nonlinear quasi-hemivariational inequality posed in a Banach space. We employ the Kluge's fixed point theorem for the set-valued selection map, use the Minty approach and some properties of the Clarke subgradient to prove that the quasi-hemivariational inequality associated to the inverse problem has a nonempty, bounded, and weakly compact solution set. We develop a general regularization framework to provide an existence result for the inverse problem. As an illustrative application, we study an identification inverse problem in a complicated mixed elliptic boundary value problem with p -Laplace operator and an implicit obstacle.
“…Traits 1-4 satisfy all assumptions in Delfour and Zole´sio [28] (Chapter 10, Theorem 5.1), thus provide the following theorem (see the detailed proof in Gonza´lez et al [29]).…”
Section: Energy Release Rate By Fluid-driven Fracturementioning
confidence: 91%
“…and get the variational equation ( 28) for u = u t , the stress t t := Ae(u t ) + t 0 À ap t I, and the contact force n T t t t n t + p re = l t according to equation (29). Conversely, from equation (28), it follows by convexity the minimum in equation ( 33)…”
Section: Variational Principle For the Crack Problemmentioning
confidence: 99%
“…For this task, we consider the problem in the incremental form ( 5) and (10), and endow it with a saddle-point formulation. Based on the Lagrange multiplier approach, we apply the formalism of directional differentiability for Lagrangians (see Delfour and Zole´sio [28]) and use rigorous asymptotic methods (see Gonza´lez et al [29]) to derive a shape derivative for the underlying Lagrangian function implying a free energy. The resulting formula describes the energy release rate under irreversible crack perturbations, which is useful for the Griffith criterion of quasi-static crack evolution (see Charlotte et al [30]).…”
Section: Introduction To Poroelastic Modelingmentioning
A new class of constrained variational problems, which describe fluid-driven cracks (that are pressurized fractures created by pumping fracturing fluids), is considered within the nonlinear theory of coupled poroelastic models stated in the incremental form. The two-phase medium is constituted by solid particles and fluid-saturated pores; it contains a crack subjected to non-penetration condition between the opposite crack faces. The inequality-constrained optimization is expressed as a saddle-point problem with respect to the unknown solid phase displacement, pore pressure, and contact force. Applying the Lagrange multiplier approach and the Delfour–Zolésio theorem, the shape derivative for the corresponding Lagrangian function is derived using rigorous asymptotic methods. The resulting formula describes the energy release rate under irreversible crack perturbations, which is useful for application of the Griffith criterion of quasi-static fracture.
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