"It is not enough for code to work." ― Robert C. Martin
Swan is a Topology Optimization software developed in Matlab. Currently, it supports the resolution of 2D and 3D topology optimization problems with density or level-set as design variables. Swan aims to offer an adaptable framework that allows to implement new optimization techniques or functionalities fastly, thanks to its modular design.
Swan currently supports the resolution of macro and micro* scale problems defined in terms of the following design variables:
- Density
- Level Set
*Note: 3D micro scale problems are not available yet.
Intermediate material properties are determined by the following implemented interpolation schemes:
- SIMP
- SIMP-ALL
Swan's modular design allows to combine several functions to define different optimization problems. Each function can be used as a cost or a constraint in the optimization problem. The functions that are currently implemented are:
- Compliance
- Volume
- Perimeter
- Non-self adjoint compliance (used to minimize/maximize displacements)
- Homogenized elasticity matrix (used in micro scale problems)
In terms of optimization techniques, the following optimizers are implemented:
- Density: Projected Gradient, MMA and IPOPT.
- Level-set: SLERP, Projected SLERP and Hamilton-Jacobi
Unconstrained optimizers are combined with an Aumgmented Lagrangian to solve constrained problems.
For any inquiries, please contact us by opening an issue.
Current active developers are: Àlex Ferrer (@FerrerFerreAlex), Marc Núñez (@marcnunezc) and Oriol Trujillo (@Trujillo94)
Previous developers are acknowledged: Ferran De la Fuente, Nacho Izquierdo Pérez, Raül Rubio Serrano, Albert Torres Rubio
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