References of "Bruyneel, Michaël"
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See detailDiscussion on the optimization problem formulation of flexible components in multibody systems
Tromme, Emmanuel ULg; Bruls, Olivier ULg; Emonds-Alt, Jonathan et al

in Structural and Multidisciplinary Optimization (2013), 48(6), 1189-1206

This paper is dedicated to the structural optimization of flexible components in mechanical systems modeled as multibody systems. While most of the structural optimization developments have been conducted ... [more ▼]

This paper is dedicated to the structural optimization of flexible components in mechanical systems modeled as multibody systems. While most of the structural optimization developments have been conducted under (quasi-)static loadings or vibration design criteria, the proposed approach aims at considering as precisely as possible the effects of dynamic loading under service conditions. Solving this problem is quite challenging and naive implementations may lead to inaccurate and unstable results. To elaborate a robust and reliable approach, the optimization problem formulation is investigated because it turns out that it is a critical point. Different optimization algorithms are also tested. To explain the efficiency of the various solution approaches, the complex nature of the design space is analyzed. Numerical applications considering the optimization of a two-arm robot subject to a trajectory tracking constraint and the optimization of a slider-crank mechanism with a cyclic dynamic loading are presented to illustrate the different concepts. [less ▲]

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See detailComparison of parameterization schemes for solving the discrete material optimization problem of composite structures
Duysinx, Pierre ULg; Guillermo Alonso, Maria ULg; Gao, Tong et al

Conference (2013, September)

In the context of weight reduction challenges in aerospace, automotive, and energy engineering problems, composite materials are gaining a revived interested. Because of the problem complexity and the ... [more ▼]

In the context of weight reduction challenges in aerospace, automotive, and energy engineering problems, composite materials are gaining a revived interested. Because of the problem complexity and the large number of design variables, their design of composite structures is greatly facilitated by using optimization techniques. While several formulations have been proposed for composite structure design, Stegmann and Lund [1] have showed that composite optimization can take advantage of the topology optimization approach. The fundamental idea of the Discrete Material Optimization (DMO) approach is 1/ to formulate the composite optimization problem as an optimal material selection problem in which the different laminates and ply orientations are considered as different materials and 2/ to solve the optimization problem using continuous existence variables. To transform the discrete problem into a continuous one, one introduces a suitable parametrization identifying each material by a unique set of design variables while the material properties are expressed as a weighted sum of all candidate materials. Using DMO approach, one can solve within a common approach, different design problems such as laminate distribution problem, stacking sequence optimization... The inherent difficulties of the discrete material selection using topology optimization are 1/ to find efficiency interpolation and penalization schemes of the material properties and 2/ to be able to tailor an efficient solution algorithm to handle very large scale optimization problems. Besides the reference DMO scheme by Lund and his co-authors, other interpolation schemes have been proposed: In this paper, work we are considering and comparing DMO with two other schemes namely the Shape Function with Penalization Parameterization (SFP) by Bruyneel [2] and it recent extension, the Bi-value Coding Parametrization (BCP) by Gao et al. [3]. In particular, the work considers the different schemes in the perspective of solving large-scale industrial applications. The work considers several aspects of the different schemes: • Nature of the different interpolation schemes, • Penalization strategies (power law (SIMP), RAMP, Tsai-Halpin or polynomial), • Number of design variables, the size and complexity of the optimization problem, • Sensitivity to local optima, to the initial design variable, and the development of continuous penalization techniques, • Ability to be extended to various formulations from compliance problems to local restrictions and buckling. As a major drawback, DMO, SFP and BCP approaches increase dramatically the number of design variables. Because of the computational burden to solve the optimization problems, in most of DMO implementations, the considered structural responses are generally limited to compliance-like objective functions. In order to extend the DMO formulation, the work investigates the selection of the most appropriate and efficient optimization algorithms to handle the problems. Different schemes of the sequential convex programming are compared. At first the classic schemes MMA and CONLIN are tested. Then more advanced schemes of the MMA family (Bruyneel et al. [4]) are experimented. The work and the comparisons are carried out on several numerical applications related to the selection of optimal local fibre orientations (with up to 36 candidate material orientations) in membrane and shell aerospace or automotive structures. The various numerical test problems include academic examples and benchmarks inspired by industrial applications. [less ▲]

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See detailComparison of parameterization schemes for solving the discrete material optimization problem of composite structures
Duysinx, Pierre ULg; Guillermo Alonso, Maria ULg; Tong, Gao et al

in Halftka, Raphael; KIM, Nam Ho (Eds.) Proceeding of the 10th World Congress on Structural And Multidisciplinary Optimization (2013, May 19)

Optimal design of composite structures can be formulated as an optimal selection of material in a list of different laminates. Based on the seminal work by Stegmann and Lund, the optimal problem can be ... [more ▼]

Optimal design of composite structures can be formulated as an optimal selection of material in a list of different laminates. Based on the seminal work by Stegmann and Lund, the optimal problem can be stated as a topology optimization problem with multiple materials. The research work carries out a large investigation of different interpolation and penalization schemes for the optimal material selection problem. Besides the classical Design Material Optimization (DMO) scheme and the recent Shape Function with Penalization (SFP) scheme by Bruyneel, the research introduces a generalization of the SFP approach using a bi-value coding parameterization (BCP) by Gao, Zhang and Duysinx. The paper provides a comparison of the different parameterization approaches. It also proposes alternative penalization schemes and it investigates the effect of the power penalization. Finally, we discuss the solution aspects in the perspective of solving large-scale industrial applications. The conclusions are illustrated by a numerical application for the compliance maximization of an in-plane composite ply. [less ▲]

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See detailA modified Fast Marching Method for defining fiber placement trajectories over meshes
Bruyneel, Michaël ULg; Zein, Samih

in Computers & Structures (2013), 125

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See detailStructural composite design: concepts and considerations
Bruyneel, Michaël ULg; Diaconu, Cezar

in Nicolais, Luigi (Ed.) Wiley Encyclopedia of Composites (2012)

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See detailStacking sequence optimization for constant stiffness laminates based on a continuous optimization approach
Bruyneel, Michaël ULg; Beghin; Craveur, Guillaume et al

in Structural and Multidisciplinary Optimization (2012), 46

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See detailExtensions of the Shape Functions with Penalization Parameterization for Composite-Ply Optimization
Bruyneel, Michaël ULg; Duysinx, Pierre ULg; Fleury, Claude ULg et al

in AIAA Journal (2011), 49(10), 2325-2329

The SFP method proposed is an alternative to the discrete material optimization (DMO) approach developed. Both approaches are an extension of the multiphase topology optimization. Here, SFP is used to ... [more ▼]

The SFP method proposed is an alternative to the discrete material optimization (DMO) approach developed. Both approaches are an extension of the multiphase topology optimization. Here, SFP is used to select composite plies in a set of candidate orientations, in a formulation including ontinuous design variables. [less ▲]

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See detailNew developments for an efficient solution of the discrete material topology optimization of composite structures
Duysinx, Pierre ULg; Gao, Tong; Zhang, Weihong et al

in Faester, S.; Juul Jensen, D.; Ralph, B. (Eds.) et al Composite materials for structural performance: towards the higher limits (2011, September 05)

Optimal design of composite structures can be formulated as an optimal selection of material in a list of different laminates. Based on the seminal work by Stegmann and Lund (2005), the optimal problem ... [more ▼]

Optimal design of composite structures can be formulated as an optimal selection of material in a list of different laminates. Based on the seminal work by Stegmann and Lund (2005), the optimal problem can be stated as a topology optimization problem with multiple materials. The research work carries out a large investigation of different interpolation and penalization schemes for the optimal material selection problem. Besides the classical Design Material Optimization (DMO) scheme and the recent Shape Function with Penalization (SFP) scheme by Bruyneel (2011), the research introduces a generalization of the SFP approach using a bi-value coding parameterization (BCP) (Gao, Zhang, and Duysinx, 2011) The paper provides a comparison of the different parameterization approaches. It also proposes alternative penalization schemes and it investigates the effect of the power penalization. Finally, we discuss the solution aspects in the perspective of solving large-scale industrial applications. The conclusions are illustrated by a numerical application for the compliance maximization of an in-plane composite ply. [less ▲]

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See detailInterface element for delamination simulation. A good usage for accuracy and performances.
Delsemme, Jean-Pierre; Bruyneel, Michaël ULg; Jetteur, Philippe et al

Conference (2011, June 29)

This paper deals with the use of interface element for the simulation of crack propagation. The questions: "how to choose mesh size, material properties and model parameters in order to get a correct ... [more ▼]

This paper deals with the use of interface element for the simulation of crack propagation. The questions: "how to choose mesh size, material properties and model parameters in order to get a correct result in a reasonable time" will be discussed. An industrial test case with skin-stringer separation will also be presented. [less ▲]

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See detailApplication of a bi-level scheme including topology optimization to the design of an aircraft pylon
Remouchamps, Alain; Bruyneel, Michaël ULg; Fleury, Claude et al

in Structural and Multidisciplinary Optimization (2011), 44

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See detailAdvances in optimization of flexible components in mutlibody systems: Application to robot-arms design
Duysinx, Pierre ULg; Emonts-Alt, Jonhatan; Virlez, Geoffrey ULg et al

in Proceedings of the 5th Asian Conference on Multibody Dynamics (2010, August)

The paper considers the optimization of the flexible components of mechanical systems modeled as multibody systems. This approach aims at considering as precisely as possible the dynamic loading of the ... [more ▼]

The paper considers the optimization of the flexible components of mechanical systems modeled as multibody systems. This approach aims at considering as precisely as possible the dynamic loading of the structural components under service conditions in their mechanical systems. While most of the structural optimization developments have been conducted under static or quasi static conditions, the approach is clearly a challenge. Naïve applications of this approach generally lead to fragile and unstable results. To elaborate a robust and reliable approach, we investigate and compare several formulations of the optimization problem. Different optimization algorithms are also tested. To explain the efficiency of the various solution approaches, the complex nature of the design space is investigated. The developments are illustrated using the test-case of the structural design of the links of a two-arm robot subject to a trajectory tracking constraint. [less ▲]

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See detailFuselage structure optimization
Grihon, Stéphane; Samuelides, Manuel; Merval, Arnaud et al

in Kesseler, Ernst; Guenov, Martin (Eds.) Advances in Collaborative Civil Aeronautical Multidisciplinary Optimization (2010)

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See detailExploiting semi-analytical sensitivities from linear and non-linear finite element analyses for composite panel optimisation
Bruyneel, Michaël ULg; Coslon, Benoit; Delsemme, Jean-Pierre et al

in International Journal of Structural Stability & Dynamics (2010), 10

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See detailOptimisation methods for advanced design of aircraft panels: a comparison
Colson, Benoit; Bruyneel, Michaël ULg; Grihon, Stéphane et al

in Optimization & Engineering (2010), 11

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See detailDiscussion on wind turbines challenges and innovative solution procedure for advanced modeling
Bruyneel, Michaël ULg; Granville, Didier; Heege, Andreas et al

Article for general public (2009)

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See detailTowards reliable virtual prototypes of wind turbines
Hemelmann, Jan; Heege, Andreas; Granville, Didier et al

Article for general public (2009)

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See detailAn industrial solution to simulate post-buckling and damage of composite panels
Bruyneel, Michaël ULg; Degenhardt, Richard; Delsemme, Jean-Pierre

Article for general public (2009)

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See detailModeling inter-laminar failure in composite structures: illustration on an industrial case study
Bruyneel, Michaël ULg; Delsemme, Jean-Pierre; Jetteur, Philippe et al

in Applied Composite Materials (2009), 16

Detailed reference viewed: 13 (0 ULg)