| Title |
A Study on Topology Optimization with Accelerating Method of Design Variables Considering Structural Uncertainties |
| Authors |
Lee Dong-Kyu ; Shin Soo-Mi ; Park Sung-Soo |
| Keywords |
Uncertainty of Structure ; Accelerating Method of Design Variables ; Topology Optimization ; Upper and Lower Bound ; Initial Data ; Convergence ; Optimal Topology |
| Abstract |
Structural topology optimization using an accelerating method of design variables is proposed in this study, while uncertainties of structure are considered in optimal design. Since loading conditions and material parameters as initial data take numerical uncertainties and therefore uncertainties of structural behaviors may occur, uncertainties of optimization convergence and optimal topology have to be considered in optimal design. However the unstability of optimal topology becomes relaxed in spite of unstable convergence of lower and upper bound, since topology optimization using the accelerating method of design variables improves convergence of optimization. Numerical examples demonstrate that this method yields a stable optimal topology design considering uncertainties of structure. This saves numerical consuming in comparisons with typical optimal design in which direct calculations considering uncertainties are required. |