In this approach, the design updates are generated in terms of a displacement field, which is obtained as the solution to an auxiliary boundary value problem that is defined on the actual design domain.
It has the ability to generate single- and multi-cell cross-sections with arbitrary lay-ups where the material properties for each layer can be defined on the basis of the design requirements.
This project, performed in collaboration with Prof. A. Asadpoure and Prof. M. Tootkaboni from the University of Massachusetts Dartmouth, aims at proposing a paradigm for topological optimization under uncertainties where stochastic fields are defined on the fly (at each design iteration) to account for process-introduced variability, rather than on the initial geometry.
In this approach, the design variables are defined on the links, and vary from 0 and 1 corresponding to the unconnected and rigidly-connected states.
Optimal designs for mixture experiments defined on the regular simplex are widely available but a lot fewer optimal designs are available for mixture experiments defined on the q-dimensional design space: S∗q="{ z1,…,zq)′∈Rq|z1+⋯+zq≤1,zi≥0,…,q},…,q}.
The shape design parameter that is defined on the geometric model is transformed into the corresponding shape density variation of the boundary elements.
Neutrophils were defined on the size/CD16+ gate.
Additionally, the objective functional is defined also on the design boundaries.
Further results of structural and modal analyses of the SMG are considered, while the link geometry is defined based on the design specifications.
The metamodel, called SignalMeta, is defined on top of the design workbench Polychrony, which is dedicated to Signal programming.
