Accurate estimation of stiffness and damping of linear bolted joints is a challenge. Commonly employed approaches using frequency-based substructuring techniques can fail if the measurement quality is not good enough. Even a minimal noise level can significantly impact the accuracy of estimations due to matrix inversions. This study proposes a novel approach that combines an optimization framework utilizing frequency-based substructuring with the emerging concept of Dynamic Disturbance (DyDis) to enhance the robustness of linear bolted joint parameter estimation.