The Experts below are selected from a list of 2277 Experts worldwide ranked by ideXlab platform
Houman Borouchaki - One of the best experts on this subject based on the ideXlab platform.
-
Simulation of Sheet Metal Forming Processes Using a Fully Rheological-Damage Constitutive Model Coupling and a Specific 3D Remeshing Method
Metals, 2018Co-Authors: Abel Cherouat, Houman Borouchaki, Jie ZhangAbstract:Automatic process modeling has become an effective tool in reducing the lead-time and the cost for designing forming processes. The numerical modeling process is performed on a fully coupled damage constitutive equations and the advanced 3D Adaptive Remeshing procedure. Based on continuum damage mechanics, an isotropic damage model coupled with the Johnson–Cook flow law is proposed to satisfy the thermodynamic and damage requirements in metals. The Lemaitre damage potential was chosen to control the damage evolution process and the effective configuration. These fully coupled constitutive equations have been implemented into a Dynamic Explicit finite element code Abaqus using user subroutine. On the other hand, an Adaptive Remeshing scheme in three dimensions is established to constantly update the deformed mesh to enable tracking of the large plastic deformations. The quantitative effects of coupled ductile damage and Adaptive Remeshing on the sheet metal forming are studied, and qualitative comparison with some available experimental data are given. As illustrated in the presented examples this overall strategy ensures a robust and efficient Remeshing scheme for finite element simulation of sheet metal-forming processes.
-
Comparison of 3D Adaptive Remeshing Strategies for Finite Element Simulations of Electromagnetic Heating of Gold Nanoparticles
Advances in Mathematical Physics, 2015Co-Authors: Fadhil Mezghani, Dominique Barchiesi, Thomas Grosges, Abel Cherouat, Houman BorouchakiAbstract:The optical properties of metallic nanoparticles are well known, but the study of their thermal behavior is in its infancy. However the local heating of surrounding medium, induced by illuminated nanostructures, opens the way to new sensors and devices. Consequently the accurate calculation of the electromagnetically induced heating of nanostructures is of interest. The proposed multiphysics problem cannot be directly solved with the classical refinement method of Comsol Multiphysics and a 3D Adaptive Remeshing process based on an a posteriori error estimator is used. In this paper the efficiency of three Remeshing strategies for solving the multiphysics problem is compared. The first strategy uses independent Remeshing for each physical quantity to reach a given accuracy. The second strategy only controls the accuracy on temperature.The third strategy uses a linear combination of the two normalized targets (the electric field intensity and the temperature). The analysis of the performance of each strategy is based on the convergence of the Remeshing process in terms of number of elements.The efficiency of each strategy is also characterized by the number of computation iterations, the number of elements, the CPU time, and the RAM required to achieve a given target accuracy.
-
computation of the field enhancement by small facet angles of metallic nanoparticles Adaptive Remeshing for finite element method
PIERS Proceedings - Progress in Electromagnetics Research Symposium, 2014Co-Authors: Fadhil Mezghani, Dominique Barchiesi, Thomas Grosges, Abel Cherouat, Houman BorouchakiAbstract:The accurate calculation of the electromagnetic field enhancement around nanoparticles that exhibit facets with small angles is of interest to characterize their efficiency, given the experimental reproducibility of such structures. The finite element method is efficient to compute the enhancement of the field intensity at the surface of nanoparticles although the numerical results strongly depends on the mesh of the domain. An Adaptive Remeshing method is shown to be robust where the classical refinement method fails. The Adaptive refinement method uses a posteriori error estimator with interpolation method of the physical field of interest, based on the residual method. The strategy of this method is to remesh the domain of calculation on the basis of the map of the physical and geometrical size that will ensure compliance with the initial geometry and the accuracy of the physical solution. The numerical application shows that the intensity enhancement computed near the vertex between facets with small angles (5◦) can reach 23%.
-
comparison between an advanced numerical simulation of sheet incremental forming using Adaptive Remeshing and experimental results
Key Engineering Materials, 2013Co-Authors: Laurence Giraudmoreau, Jie Zhang, Abel Cherouat, Houman BorouchakiAbstract:Recently, new sheet metal forming technique, incremental forming has been introduced. It is based on using a single spherical tool, which is moved along CNC controlled tool path. During the incremental forming process, the sheet blank is fixed in sheet holder. The tool follows a certain tool path and progressively deforms the sheet. Nowadays, numerical simulations of metal forming are widely used by industry to predict the geometry of the part, stresses and strain during the forming process. Because incremental forming is a dieless process, it is perfectly suited for prototyping and small volume production [1, 2]. On the other hand, this process is very slow and therefore it can only be used when a slow series production is required. As the sheet incremental forming process is an emerging process which has a high industrial interest, scientific efforts are required in order to optimize the process and to increase the knowledge of this process through experimental studies and the development of accurate simulation models. In this paper, a comparison between numerical simulation and experimental results is realized in order to assess the suitability of the numerical model. The experimental investigation is realized using a three-axis CNC milling machine. The forming tool consists in a cylindrical rotating punch with a hemispherical head. A subroutine has been developed to describe the tool path from CAM procedure. A numerical model has been developed to simulate the sheet incremental forming process. The finite element code Abaqus explicit has been used. The simulation of the incremental forming process stays a complex task and the computation time is often prohibitive for many reasons. During this simulation, the blank is deformed by a sequence of small increments that requires many numerical increments to be performed. Moreover, the size of the tool diameter is generally very small compared to the size of the metal sheet and thus the contact zone between the tool and the sheet is limited. As the tool deforms almost every part of the sheet, small elements are required everywhere in the sheet resulting in a very high computation time. In this paper, an Adaptive Remeshing method has been used to simulate the incremental forming process. This strategy, based on Adaptive refinement and coarsening procedures avoids having an initially fine mesh, resulting in an enormous computing time. Experiments have been carried out using aluminum alloy sheets. The final geometrical shape and the thickness profile have been measured and compared with the numerical results. These measurements have allowed validating the proposed numerical model. References [1] M. Yamashita, M. Grotoh, S.-Y. Atsumi, Numerical simulation of incremental forming of sheet metal, J. Processing Technology, No. 199 (2008), p. 163 172. [2] C. Henrard, A.M. Hbraken, A. Szekeres, J.R. Duflou, S. He, P. Van Houtte, Comparison of FEM Simulations for the Incremental Forming Process, Advanced Materials Research, 6-8 (2005), p. 533-542.
-
3d thermo mechanical simulation coupled with Adaptive Remeshing for metal milling
Advanced Materials Research, 2013Co-Authors: Jie Zhang, Abel Cherouat, Houman BorouchakiAbstract:As a material removal process, metal milling process involves large geometry deformation, material thermo-visco-plastic flow coupled with damage and complex contact-friction problems. During simulation of metal milling, the finite elements distort severely at the local regions with high gradient of physical field such as stress, strain and temperature due to these problems. This paper presents numerical Adaptive Remeshing procedure dedicated to metal milling process. The procedure integrates Explicit solver of ABAQUS, OPTIFORM mesher and python script program transfer to execute step by step the incremental milling process. At each step, the meshes are refined and coarsened automatically based on geometrical and physical error estimations; the physical fields are transferred (point to point) from old to the new one using advanced algorithm. Johnson-cook material model is used to simulate the material plastic flow with ductile damage. Some numerical results are given to demonstrate the efficiency of the proposed procedure.
André Fortin - One of the best experts on this subject based on the ideXlab platform.
-
An updated Lagrangian method with error estimation and Adaptive Remeshing for very large deformation elasticity problems
International Journal for Numerical Methods in Engineering, 2014Co-Authors: Sophie Léger, André Fortin, C. Tibirna, Michel FortinAbstract:SUMMARY Accurate simulations of large deformation hyperelastic materials by the FEM is still a challenging problem. In a total Lagrangian formulation, even when using a very fine initial mesh, the simulation can break down due to severe mesh distortion. Error estimation and Adaptive Remeshing on the initial geometry are helpful and can provide more accurate solutions but are not sufficient to attain very large deformations. The updated Lagrangian formulation where the geometry is periodically updated is then preferred. However, it requires data transfer from the old mesh to the new one and this is a very delicate issue. In this paper, we present an updated Lagrangian formulation where the error is estimated and Adaptive Remeshing is performed in order to reach high level of deformations while controlling both the accuracy of the solution and mesh distortion. Special attention is given to data transfer methods and a very accurate cubic Lagrange projection method is introduced. A continuation method is used to automatically pilot the complete algorithm including load increase, error estimation, Adaptive Remeshing, and data transfer. A number of examples will be presented and analyzed. Copyright © 2014 John Wiley & Sons, Ltd.
-
an Adaptive Remeshing strategy for viscoelastic fluid flow simulations
Journal of Non-newtonian Fluid Mechanics, 2008Co-Authors: Robert Guenette, André Fortin, A Kane, Jeanfrancois HetuAbstract:In the last few years, we have developed a fairly general Adaptive finite element solution procedure which can be applied to a large variety of problems. In this paper, this strategy is briefly recalled and applied to the solution of two-dimensional viscoelastic fluid flow problems. A log-conformation formulation recently introduced by Fattal and Kupferman [R. Fattal, R. Kupferman, Time-dependent simulation of viscoelastic flows at high Weissenberg number using the log-conformation representation, J. Non-Newtonian Fluid Mech. 126 (2005) 23-37] was implemented in order to improve the convergence properties of the numerical scheme. We confirm some results obtained in Hulsen, Fattal and Kupferman [M. Hulsen, R. Fattal, R. Kupferman, Flow of viscoelastic fluids past a cylinder at high Weissenberg number: stabilized simulations using matrix logarithm, J. Non-Newtonian Fluid Mech. 127 (2005) 27-39] and in some instances, we show that mesh adaptation allows to almost automatically reproduce accurate results obtained on very fine structured meshes.
-
an Adaptive Remeshing strategy for free surface fluid flow problems part i the axisymmetric case
Journal of Polymer Engineering, 2006Co-Authors: André Fortin, K BenmoussaAbstract:In this work, an anisotropic Adaptive Remeshing strategy is used for the numerical simulation of free surface fluid flow problems with surface tension. Carreau and power law models are used for shear-thinning viscosity effects. A modified level set method is also presented for the computation of free surfaces. Numerical examples are then presented: the Young-Laplace relation, the deformation of a drop in an axisymmetric die and the deformation and breaking of drops in elongation and shear flows. Part 1 will focus on axisymmetric geometries while the second part will be concerned with the full three-dimensional case. The main objective of this work is to show that this Adaptive methodology can be successfully applied to various types of free surface problems.
-
an Adaptive Remeshing strategy for free surface fluid flow problems part ii the three dimensional case
Journal of Polymer Engineering, 2006Co-Authors: K Benmoussa, André FortinAbstract:In the first part of this work, an anisotropic Adaptive Remeshing strategy was used for the numerical simulation of free surface fluid flow problems with surface tension in axisymmetric geometries. This second part is concerned with its three-dimensional generalization which is a much more challenging task. The number of degrees of freedom now requires iterative methods which are very sensitive to the quality of the mesh. Mesh adaptation itself is more difficult: local operations on meshes are more delicate and the respect of the underlying geometry (CAD) is also a major difficulty. The focus of this paper will thus be given to the three dimensional generalization of the different algorithms introduced in Part I. The same program was used for both axisymmetric and three-dimensional geometries but some important modifications need to be discussed in the last case. Numerical examples will then be presented: the Young-Laplace problem, the deformation and breakup of drops and the drop to drop interaction in shear flows.
-
an Adaptive Remeshing strategy for shear thinning fluid flow simulations
Computers & Chemical Engineering, 2004Co-Authors: André Fortin, Francois Bertrand, M Fortin, Eric Chamberland, P E Boulangernadeau, El A Maliki, N NajehAbstract:Abstract In the last few years, a team effort has allowed the development of a very general Adaptive finite element solution procedure which can be applied to a large variety of problems. In this paper, this complete strategy is presented and applied to the solution of three-dimensional shear-thinning fluid flow problems. Carreau–Yasuda and power-law models are used to model shear-thinning viscosity effects.
Alaa Olleak - One of the best experts on this subject based on the ideXlab platform.
-
efficient lpbf process simulation using finite element modeling with Adaptive Remeshing for distortions and residual stresses prediction
Manufacturing letters, 2020Co-Authors: Alaa OlleakAbstract:Abstract As-built metallic parts manufactured by the laser powder bed fusion (LPBF) process are usually associated with high residual stresses and distortions due to the thermal cycles during the process. Finite Element Modeling (FEM) is widely used to simulate the build process with the assumption of the lumped layer thickness. This paper proposes an Adaptive Remeshing framework by which the assumed layer thickness value can be reduced while minimizing model size and the number of nodes. Preliminary results show that model results find good agreement with experimental results and previous FEM predictions, along with significant computational reduction.
-
a scan wise Adaptive Remeshing framework for thermal simulation of the selective laser melting process
The International Journal of Advanced Manufacturing Technology, 2020Co-Authors: Alaa OlleakAbstract:Physics-based thermal simulation of laser powder bed fusion can greatly help understanding the process and reducing time and cost associated with experimental approaches. Numerical methods including the finite element method have been widely used to predict parts thermal-structural history during the build process. However, the simulation has scalability issues because both layer thickness and laser spot diameter are too tiny compared to the part-scale. Therefore, it is only feasible to run these simulations with massive computational resources or if the boundary conditions are simplified, which inevitably reduces the prediction accuracy. This paper proposes a tetrahedral element-based scan-wise Adaptive Remeshing framework for thermal simulation of the selective laser melting (SLM) process. Results show that a significant reduction of the computational time and resources can be achieved due to the reduction of the number of nodes. The proposed framework enables part-scale thermal modeling of the SLM process with detailed thermal history without sacrificing the accuracy. The effectiveness of the proposed framework is demonstrated through a large size cantilever problem.
-
scan wise Adaptive Remeshing for efficient lpbf process simulation the thermal problem
Manufacturing letters, 2020Co-Authors: Alaa OlleakAbstract:Abstract Understanding parts thermal history during the laser powder bed fusion (LPBF) process is crucial since it can help avoiding manufacturing defects, identifying hotspots, saving time and cost associated with experimental analysis. For the case of LPBF, however, numerical methods are computationally expensive whenever the thermal history of a relatively large part is required. This paper proposes a scan-wise Adaptive Remeshing framework using tetrahedral elements that can simulate the process efficiently, and better capture complex features than using hexahedral elements. Results from four structures demonstrated the efficiency of the proposed work compared to the layer-wise Remeshing and the uniform mesh approach.
Abel Cherouat - One of the best experts on this subject based on the ideXlab platform.
-
Simulation of Sheet Metal Forming Processes Using a Fully Rheological-Damage Constitutive Model Coupling and a Specific 3D Remeshing Method
Metals, 2018Co-Authors: Abel Cherouat, Houman Borouchaki, Jie ZhangAbstract:Automatic process modeling has become an effective tool in reducing the lead-time and the cost for designing forming processes. The numerical modeling process is performed on a fully coupled damage constitutive equations and the advanced 3D Adaptive Remeshing procedure. Based on continuum damage mechanics, an isotropic damage model coupled with the Johnson–Cook flow law is proposed to satisfy the thermodynamic and damage requirements in metals. The Lemaitre damage potential was chosen to control the damage evolution process and the effective configuration. These fully coupled constitutive equations have been implemented into a Dynamic Explicit finite element code Abaqus using user subroutine. On the other hand, an Adaptive Remeshing scheme in three dimensions is established to constantly update the deformed mesh to enable tracking of the large plastic deformations. The quantitative effects of coupled ductile damage and Adaptive Remeshing on the sheet metal forming are studied, and qualitative comparison with some available experimental data are given. As illustrated in the presented examples this overall strategy ensures a robust and efficient Remeshing scheme for finite element simulation of sheet metal-forming processes.
-
Comparison of 3D Adaptive Remeshing Strategies for Finite Element Simulations of Electromagnetic Heating of Gold Nanoparticles
Advances in Mathematical Physics, 2015Co-Authors: Fadhil Mezghani, Dominique Barchiesi, Thomas Grosges, Abel Cherouat, Houman BorouchakiAbstract:The optical properties of metallic nanoparticles are well known, but the study of their thermal behavior is in its infancy. However the local heating of surrounding medium, induced by illuminated nanostructures, opens the way to new sensors and devices. Consequently the accurate calculation of the electromagnetically induced heating of nanostructures is of interest. The proposed multiphysics problem cannot be directly solved with the classical refinement method of Comsol Multiphysics and a 3D Adaptive Remeshing process based on an a posteriori error estimator is used. In this paper the efficiency of three Remeshing strategies for solving the multiphysics problem is compared. The first strategy uses independent Remeshing for each physical quantity to reach a given accuracy. The second strategy only controls the accuracy on temperature.The third strategy uses a linear combination of the two normalized targets (the electric field intensity and the temperature). The analysis of the performance of each strategy is based on the convergence of the Remeshing process in terms of number of elements.The efficiency of each strategy is also characterized by the number of computation iterations, the number of elements, the CPU time, and the RAM required to achieve a given target accuracy.
-
computation of the field enhancement by small facet angles of metallic nanoparticles Adaptive Remeshing for finite element method
PIERS Proceedings - Progress in Electromagnetics Research Symposium, 2014Co-Authors: Fadhil Mezghani, Dominique Barchiesi, Thomas Grosges, Abel Cherouat, Houman BorouchakiAbstract:The accurate calculation of the electromagnetic field enhancement around nanoparticles that exhibit facets with small angles is of interest to characterize their efficiency, given the experimental reproducibility of such structures. The finite element method is efficient to compute the enhancement of the field intensity at the surface of nanoparticles although the numerical results strongly depends on the mesh of the domain. An Adaptive Remeshing method is shown to be robust where the classical refinement method fails. The Adaptive refinement method uses a posteriori error estimator with interpolation method of the physical field of interest, based on the residual method. The strategy of this method is to remesh the domain of calculation on the basis of the map of the physical and geometrical size that will ensure compliance with the initial geometry and the accuracy of the physical solution. The numerical application shows that the intensity enhancement computed near the vertex between facets with small angles (5◦) can reach 23%.
-
comparison between an advanced numerical simulation of sheet incremental forming using Adaptive Remeshing and experimental results
Key Engineering Materials, 2013Co-Authors: Laurence Giraudmoreau, Jie Zhang, Abel Cherouat, Houman BorouchakiAbstract:Recently, new sheet metal forming technique, incremental forming has been introduced. It is based on using a single spherical tool, which is moved along CNC controlled tool path. During the incremental forming process, the sheet blank is fixed in sheet holder. The tool follows a certain tool path and progressively deforms the sheet. Nowadays, numerical simulations of metal forming are widely used by industry to predict the geometry of the part, stresses and strain during the forming process. Because incremental forming is a dieless process, it is perfectly suited for prototyping and small volume production [1, 2]. On the other hand, this process is very slow and therefore it can only be used when a slow series production is required. As the sheet incremental forming process is an emerging process which has a high industrial interest, scientific efforts are required in order to optimize the process and to increase the knowledge of this process through experimental studies and the development of accurate simulation models. In this paper, a comparison between numerical simulation and experimental results is realized in order to assess the suitability of the numerical model. The experimental investigation is realized using a three-axis CNC milling machine. The forming tool consists in a cylindrical rotating punch with a hemispherical head. A subroutine has been developed to describe the tool path from CAM procedure. A numerical model has been developed to simulate the sheet incremental forming process. The finite element code Abaqus explicit has been used. The simulation of the incremental forming process stays a complex task and the computation time is often prohibitive for many reasons. During this simulation, the blank is deformed by a sequence of small increments that requires many numerical increments to be performed. Moreover, the size of the tool diameter is generally very small compared to the size of the metal sheet and thus the contact zone between the tool and the sheet is limited. As the tool deforms almost every part of the sheet, small elements are required everywhere in the sheet resulting in a very high computation time. In this paper, an Adaptive Remeshing method has been used to simulate the incremental forming process. This strategy, based on Adaptive refinement and coarsening procedures avoids having an initially fine mesh, resulting in an enormous computing time. Experiments have been carried out using aluminum alloy sheets. The final geometrical shape and the thickness profile have been measured and compared with the numerical results. These measurements have allowed validating the proposed numerical model. References [1] M. Yamashita, M. Grotoh, S.-Y. Atsumi, Numerical simulation of incremental forming of sheet metal, J. Processing Technology, No. 199 (2008), p. 163 172. [2] C. Henrard, A.M. Hbraken, A. Szekeres, J.R. Duflou, S. He, P. Van Houtte, Comparison of FEM Simulations for the Incremental Forming Process, Advanced Materials Research, 6-8 (2005), p. 533-542.
-
3d thermo mechanical simulation coupled with Adaptive Remeshing for metal milling
Advanced Materials Research, 2013Co-Authors: Jie Zhang, Abel Cherouat, Houman BorouchakiAbstract:As a material removal process, metal milling process involves large geometry deformation, material thermo-visco-plastic flow coupled with damage and complex contact-friction problems. During simulation of metal milling, the finite elements distort severely at the local regions with high gradient of physical field such as stress, strain and temperature due to these problems. This paper presents numerical Adaptive Remeshing procedure dedicated to metal milling process. The procedure integrates Explicit solver of ABAQUS, OPTIFORM mesher and python script program transfer to execute step by step the incremental milling process. At each step, the meshes are refined and coarsened automatically based on geometrical and physical error estimations; the physical fields are transferred (point to point) from old to the new one using advanced algorithm. Johnson-cook material model is used to simulate the material plastic flow with ductile damage. Some numerical results are given to demonstrate the efficiency of the proposed procedure.
Eugenio Oñate - One of the best experts on this subject based on the ideXlab platform.
-
combination of an Adaptive Remeshing technique with a coupled fem dem approach for analysis of crack propagation problems
Computational particle mechanics, 2020Co-Authors: Alejandro Cornejo, Vicente Mataix, Francisco Zarate, Eugenio OñateAbstract:This paper presents an enhanced coupled approach between the finite element method (FEM) and the discrete element method (DEM) in which an Adaptive Remeshing technique has been implemented. The Remeshing technique is based on the computation of the Hessian of a selected nodal variable, i.e. the mesh is refined where the curvature of the variable field is greater. Once the Hessian is known, a metric tensor is defined node-wise that serves as input data for the remesher (MmgTools) that creates a new mesh. After Remeshing, the mapping of the internal variables and the nodal values is performed and a regeneration of the discrete elements on the crack faces of the new mesh is carried out. Several examples of fracturing problems using the enhanced FEM–DEM formulation are presented. Accurate results in comparison with analytical and experimental solutions are obtained.
-
low cost Adaptive Remeshing strategies for the solution of structural shape optimization problems using hybrid evolutionary gradient methods
2008Co-Authors: Gabriel Bugeda, Juan José Ródenas, Eugenio Oñate, F J Fuenmayor, Escola Universitaria, Tecnologia De VehiculoscitvAbstract:Gradient based methods used in structural shape optimization usually converge quickly but only to the closest local optimum. Evolutionary algorithms have the ability to escape from local optima but require the structural analysis of a considerable number of different designs. Hybrid methods combining the use of these two techniques are powerful tools for the solution of shape optimization problems as they exploit the benefits of both. The shape optimization processes require the structural analysis of several different designs. The computational cost related to the analysis of each design is therefore a critical issue. The discretization error associated to the finite element analysis of each design during the optimization process plays an important role over the convergence of the optimization algorithms as non optimal solutions, which do not satisfy the constraints, are obtained if this error is not sufficiently low [1]. Therefore, Adaptive analysis techniques should be used to ensure a minimum quality of the results of the structural analysis of each design to guarantee the convergence of the optimization process to the real solution. However, adapted meshes obtained from traditional Adaptive Remeshing strategies, where each design has to be analyzed more than once, cause a high computational cost. In this work we have developed a basic implementation of a hybrid algorithm for structural shape optimization problems which first uses the evolutionary algorithm to capture a solution close to the global optimal solution, avoiding local optima, and then uses a gradient-based algorithm for a quick convergence to the final solution. The main
-
An integration of a low cost Adaptive Remeshing strategy in the solution of structural shape optimization problems using evolutionary methods
Computers & Structures, 2007Co-Authors: Gabriel Bugeda, Juan José Ródenas, Eugenio OñateAbstract:Evolutionary methods are a powerful and robust tool for the solution of structural shape optimization problems. Nevertheless, the use of these methods requires the structural analysis of an important number of different designs, this making the computational cost of the analysis of each design a critical issue. For this reason, each design must be analyzed at a minimum computational cost but ensuring a minimum quality of the results. It is well known that the cheapest mesh for producing a solution with a fixed quality at minimum cost is an adapted one. Nevertheless, traditional adapted meshes are obtained from Adaptive Remeshing strategies, where each design has to be analyzed more than once, thereby also causing a high computational cost. This work presents a new strategy that allows generating an adapted mesh for each design without the necessity of performing a full Adaptive Remeshing procedure for each of them. It is based on the use of sensitivity analysis of all magnitudes related with Adaptive Remeshing (location of nodes, error estimation, etc.) with respect to the design variables. This sensitivity analysis is performed only once using a geometry of reference and it is used to project the results of the corresponding analysis to all other designs to be analyzed. The projected information allows generating an appropriate adapted mesh for each new design in one shot, greatly reducing the computational cost compared with standard strategies.