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We consider robust optimization techniques for PDE-constrained problems involving uncertain parameters.The parameters are assumed to be contained in a given uncertainty set.We propose approximations of the robust counterpart based on linear or quadratic models which leads to a tractable problem.We show applications to the robust optimization of a permanent magnet synchronous motor geometry and to the robust geometry optimization of load-carrying structures governed by the elastodynamic wave equation.