Abstract
Large-scale structural parametricoptimization problems still imposeachallenge to computer hardware.Athreestep approach to reduce the run time and memory requirements is proposed. It is based on the observed sparsity of the matrix of partial derivatives in structural optimization. The approach includes a differentiation scheme to compute smaller gradient matrices in parallel and assemble them employing the chain rule, an adaptive filtering framework for an effective selection of active constraints based on numerical value and engineering knowledge and the pairing of a known sequential convex programming algorithm with a preconditioned conjugate gradient solver forthe internal matrices.Software has been developedandsuccessfully applied to the optimizationof the outerwing panels of a large military transporter aircraft.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
