An innovative approach to topology optimization is presented that is based on the minimization of a proper norm of the input/output transfer matrix G. The singular value decomposition (SVD) of G is shown to be the key ingredient of the proposed optimization strategy that applies to static and dynamic topology optimization, with nearly no modifications. Alongside the theoretical derivations, the class is introduced to the coding of the proposed approach in the Matlab environment as far as the static regime is concerned, whereas hints are given for the extension to dynamic response. The optimization of exoskeletal systems that minimize the response of 3D framed structures to horizontal environmental actions is one of the results of practical interest that are achieved.
May 9 and 10, 2024, 9:00am-1:00pm
The course will take place in blended mode: in presence at the Aula Seminari Capannone C, Faculty of Architecture, via Gramsci 53, Rome and online via Zoom.
For all courses supplied by the PhD Program of the DISG credits are not provided: a certificate of attendance will be produced upon request (only after a check of the effective presence)