C
Catherine Knopf-Lenoir
Researcher at University of Technology of Compiègne
Publications - 38
Citations - 752
Catherine Knopf-Lenoir is an academic researcher from University of Technology of Compiègne. The author has contributed to research in topics: Deep drawing & Finite element method. The author has an hindex of 12, co-authored 38 publications receiving 698 citations.
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Optimization of drawbead restraining forces and drawbead design in sheet metal forming process
TL;DR: In this paper, a simplified finite element method called inverse approach (IA) has been developed for sheet forming analysis with the consideration of the drawbead restraining forces, which is combined with a mathematical programming algorithm to optimize the restraining forces and then to design the draw beads.
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Model reduction by CPOD and Kriging
Manyu Xiao,Piotr Breitkopf,Rajan Filomeno Coelho,Catherine Knopf-Lenoir,Maryan Sidorkiewicz,Pierre Villon +5 more
TL;DR: An original constrained POD method meant to overcome the bias created by the truncation made in regular POD is proposed, which means modifying the way of calculating the POD coefficients by imposing the integral quantities Q and T based on the truncated POD to match with the actualQ and T values obtained by flow simulation at the design of experiments.
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Response surface methodology for the rapid design of aluminum sheet metal forming parameters
TL;DR: This work focuses on a successive response surface method for the optimization problems and uses the one-step Inverse Approach as a surrogate model during the optimization.
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Model reduction for multidisciplinary optimization - application to a 2D wing
TL;DR: A novel approach is proposed, combining proper orthogonal decomposition to decrease the amount of data exchanged between disciplines, with surrogate models based on moving least squares to reduce disciplines in an original 2D wing demonstrator involving two disciplines.
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Optimal design and optimal control of structures undergoing finite rotations and elastic deformations
TL;DR: In this paper, the optimal design and optimal control of structures undergoing large rotations and large elastic deformations is studied. And two different solution procedures are explored, one based on the diffuse approximation of response function and gradient method and the other based on genetic algorithm, in order to find the corresponding initial configuration through optimal design or the corresponding set of multiple load parameters through optimal control.