A multidisciplinary optimization using semi-analytical sensitivity analysis procedure and multilevel decomposition

Isogeometric shape optimization of shells using semi-analytical sensitivity analysis and sensitivity weighting

We present isogeometric shape optimization for shell structures applying sensitivity weighting and semi-analytical analysis. We use a rotation-free shell formulation and all involved geometry models, i.e., initial design, analysis model, optimization model, and final design use the same geometric basis, in particular NURBS. A sensitivity weighting scheme is presented which eliminates certain ef...

On Decomposition Methods for Multidisciplinary Design Optimization

Multidisciplinary design optimization (MDO) problems are engineering design problems that require the consideration of the interaction between several design disciplines. Due to certain organizational aspects of MDO problems, decomposition algorithms are often the only feasible solution approach. Two natural decomposition approaches to the MDO problem are bilevel decomposition algorithms and Sc...

A semi-analytical decomposition analysis of surface plasmon generation and the optimal nanoledge plasmonic device.

Surface plasmon resonance (SPR) of nanostructured thin metal films (so-called nanoplasmonics) has attracted intense attention due to its versatility for optical sensing and chip-based device integration. Understanding the underlying physics and developing applications of nanoplasmonic devices with desirable optical properties, e.g. intensity of light scattering and high refractive index (RI) se...

Integrated Multidisciplinary Design Optimization Using Discrete Sensitivity Analysis for Geometrically Complex Aeroelastic Configurations

Substrate optimization based on semi-analytical techniques

Several methods are presented for highly efficient calculation of substrate noise transport in integrated circuits. A three-dimensional Green’s function-based boundary element method, accelerated through use of the fast Fourier transform, allows the computation of sensitivities with respect to all substrate parameters at a considerably higher speed than any methods reported in the literature. S...