Intelligent identification of nonlinear parameters in negative stiffness mechanism using SCINet

Abstract Abstract：The negative stiffness mechanism is extensively utilized in aerospace vibration isolation systems owing to its high load-bearing capacity, minimal deformation, and excellent control performance. However, the strong nonlinear behavior inherent poses significant challenges for accurate structural parameter identification. To address the above issue, this paper proposes a parameter identification method for negative stiffness systems based on the novel SCINet deep learning framewo