Minimum length-scale constraints for parameterized implicit function based topology optimization

Open access via Springer Compact Agreement The author would like to thank the Numerical Analysis Group at the Rutherford Appleton Laboratory for their FORTRAN HSL packages (HSL, a collection of Fortran codes for large-scale scientific computation. See http://www.hsl.rl.ac.uk/). The author also would like to acknowledge the support of the Maxwell compute cluster funded by the University of Aberdeen. Finally, the author thanks the anonymous reviewers for their helpful comments and suggestions that improved this paper.Peer reviewedPublisher PD

Introducing the sequential linear programming level-set method for topology optimization

The authors would like to thank Numerical Analysis Group at the Rutherford Appleton Laboratory for their FORTRAN HSL packages (HSL, a collection of Fortran codes for large-scale scientific computation. See http://www.hsl.rl.ac.uk/). Dr H Alicia Kim acknowledges the support from Engineering and Physical Sciences Research Council, grant number EP/M002322/1Peer reviewedPublisher PD

On the co-rotational method for geometrically nonlinear topology optimization

Acknowledgements The author would like to thank the Numerical Analysis Group at the Rutherford Appleton Laboratory for their FORTRAN HSL packages (HSL, a collection of Fortran codes for large-scale scientific computation. See http://www.hsl.rl.ac.uk/).Peer reviewedPublisher PD

Design parameterization for topology optimization by intersection of an implicit function

The author would like to thank Numerical Analysis Group at the Rutherford Appleton Laboratory for their FORTRAN HSL packages (HSL, a collection of Fortran codes for large-scale scientific computation. See http://www.hsl.rl.ac.uk/).Peer reviewedPostprin

Multi-objective robust topology optimization with dynamic weighting

A common robust topology optimization is formulated as a weighted sum of expected and variance of the objective functions for the given uncertainties. This has recently been applied to topology optimization with uncertainties in loading, [1]. Figure 1(a) shows the Pareto front of solutions found using uniformly distributed weightings. This front suffers from crowding for weight values 0.625. In the general case, the two goals of multi-objective optimization are; to find the most diverse set of Pareto optimal solutions, and, to discover solutions as close as possible to the true Pareto front. This paper presents schemes to achieve both these goals

Optimal Topology of Aircraft Rib and Spar Structures Under Aeroelastic Loads

This work is funded by the Fixed Wing Project under NASA’s Fundamental Aeronautics Program.Peer reviewedPostprin

Multiscale surrogate-based framework for reliability analysis of unidirectional FRP composites

This work was supported by the University of Aberdeen Elphinstone scholarship scheme.Peer reviewedPostprin

Multi-scale Reliability-Based Design Optimisation Framework for Fibre-Reinforced Composite Laminates

Acknowledgements This work was supported by the University of Aberdeen Elphinstone scholarship scheme.Peer reviewedPostprin

Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

Acknowledgements This work was supported by the University of Aberdeen Elphinstone scholarship scheme.Peer reviewedPostprin