Efficient implementation of essentially non-oscillatory shock-capturing schemes
Journal of Computational Physics
Generating optimal topologies in structural design using a homogenization method
Computer Methods in Applied Mechanics and Engineering
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
High-order essentially nonsocillatory schemes for Hamilton-Jacobi equations
SIAM Journal on Numerical Analysis
Real functions for representation of rigid solids
Computer Aided Geometric Design
Variational methods in image segmentation
Variational methods in image segmentation
A non-oscillatory Eulerian approach to interfaces in multimaterial flows (the ghost fluid method)
Journal of Computational Physics
A PDE-based fast local level set method
Journal of Computational Physics
Structural boundary design via level set and immersed interface methods
Journal of Computational Physics
Weighted ENO Schemes for Hamilton--Jacobi Equations
SIAM Journal on Scientific Computing
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Journal of Computational Physics
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Structural optimization using sensitivity analysis and a level-set method
Journal of Computational Physics
IEEE Transactions on Image Processing
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A level set based method is proposed for simultaneous optimization of material property and topology of functionally graded structures. The objective is to determine the optimal material property (via material volume fraction) and structural topology to maximize the performance of the structure in a given application. In the proposed method volume fraction and structural boundary are considered as design variables, with the former being discretized as a scaler field and the latter being implicitly represented by level set method. To perform simultaneous optimization, the two design variables are integrated into a common objective functional. Sensitivity analysis is conducted to obtain the descent directions. The optimization process is then expressed as the solution to a coupled Hamilton-Jacobi equation and diffusion partial differential equation. Numerical results are provided for the problem of mean compliance optimization in two dimensions.