References of "Computer Methods in Applied Mechanics & Engineering"
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See detailAutomatic adaptive remeshing for numerical simulations of metalforming
Dyduch, M.; Habraken, Anne ULg; Cescotto, Serge ULg

in Computer Methods in Applied Mechanics & Engineering (1992), 101

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See detailOn a purely lagrangian formulation of sloshing and fluid-induced vibrations of tanks
Debongnie, Jean-François ULg

in Computer Methods in Applied Mechanics & Engineering (1986), 58(1), 1-18

A general variational principle for fluid-structure interactions is obtained from a purely Lagrangian point of view, thus avoiding any difficulty at the fluid-structure interaction. This rather general ... [more ▼]

A general variational principle for fluid-structure interactions is obtained from a purely Lagrangian point of view, thus avoiding any difficulty at the fluid-structure interaction. This rather general variational principle is shown to degenerate, when suitable restrictions are made, in two known formulations, whose range of applicability is defined with the aid of three nondimensional numbers. [less ▲]

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See detailShape optimal-design using B-splines
Braibant, V.; Fleury, Claude ULg

in Computer Methods in Applied Mechanics & Engineering (1984), 44(3), 247-267

Shape optimal design of an elastic structure is formulated using a design element technique. It is shown that Bezier and B-spline curves, typical of the CAD philosophy, are well suited to the definition ... [more ▼]

Shape optimal design of an elastic structure is formulated using a design element technique. It is shown that Bezier and B-spline curves, typical of the CAD philosophy, are well suited to the definition of design elements. Complex geometries can be described in a very compact way by a small set of design variables and a few design elements. Because of the B-splines flexibility, it is no longer necessary to piece design elements together in order to agree with the shape complexity, nor to restrict the shape variations. Moreover, the additional optimization constraints that are most often needed to avoid unrealistic designs when the shape variables are the nodal coordinates of a finite element mesh, are automatically taken into account in the new formulation. An analytical derivation of the sensitivity analysis will be established, giving rise to numerical efficiency. It will be seen that the resulting optimization problem does not involve highly nonlinear functions with respect to the shape variables, so that simple mathematical programming algorithms can be applied to solve it. Some numerical examples are offered to demonstrate the power and generality of the new approach presented in this paper. [less ▲]

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See detailDual methods for optimizing finite element flexural systems
Fleury, Claude ULg; Sander, G.

in Computer Methods in Applied Mechanics & Engineering (1983), 37(3), 249-275

Modern numerical methods for the optimization of large discretized systems are now well developed and highly efficient in the case of thin walled elastic structures modeled by finite elements. However ... [more ▼]

Modern numerical methods for the optimization of large discretized systems are now well developed and highly efficient in the case of thin walled elastic structures modeled by finite elements. However, this is not yet true for structures whose components are subject simultaneously to bending and extension loads. In this paper, the idea of Generalized Optimality Criterion (GOC), set forth in previous papers for bar, membrane, and pure bending elements, is extended to deal with general beam and flat shell elements. The modifications brought to the GOC result in explicit approximations for the behavior constraints that are correct up to the first order, but that exhibit a more complex algebraic form. Indeed these explicit expressions are no longer merely linear in the reciprocal design variables. However, they continue to be additively separable, and therefore dual methods remain fully applicable, just as in the original statement of the GOC approach. Numerical examples will be offered to demonstrate the efficiency of the method presented. [less ▲]

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