| contributor author | Venini, Paolo | |
| date accessioned | 2019-03-17T11:09:28Z | |
| date available | 2019-03-17T11:09:28Z | |
| date copyright | 1/7/2019 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_014_02_021007.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4256747 | |
| description abstract | An innovative approach to topology optimization of dynamic system is introduced that is based on the system transfer-function H∞-norm. As for the structure, the proposed strategy allows to determine the optimal material distribution that ensures the minimization of a suitable goal function, such as (an original definition of) the dynamic compliance. Load uncertainty is accounted for by means of a nonprobabilistic convex-set approach (Ben-Haim and Elishakoff, 1990, Convex Models of Uncertainty in Applied Mechanics, Elsevier Science, Amsterdam). At each iteration, the worst load is determined as the one that maximizes the current dynamic compliance so that the proposed strategy fits the so-called worst case scenario (WCS) approach. The overall approach consists of the repeated solution of the two steps (minimization of the dynamic compliance with respect to structural parameters and maximization of the dynamic compliance with respect to the acting load) until convergence is achieved. Results from representative numerical studies are eventually presented along with extensions to the proposed approach that are currently under development. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Topology Optimization of Dynamic Systems Under Uncertain Loads: An H∞-Norm-Based Approach | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 2 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4042140 | |
| journal fristpage | 21007 | |
| journal lastpage | 021007-9 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 002 | |
| contenttype | Fulltext | |