Abstract
The robust topology optimization method integrates the level set-based topology optimization that introduces fictitious interface energy to regularize the optimization problem and the sensitivity-based robust optimization method that the objective function is formulated as the weighted sum of the mean value and the standard deviation of the compliance energy. As a result, the robust topology optimization method has two parameters, the regularization parameter and the weighting factor. This study investigates the effects of the two parameters of the level set-based robust topology optimization method on the structural configurations of the optimum designs and values of objective function through numerical examples.
