Sensitivity-based constitutive parameter identification of nonlinear structures with unknown input earthquake excitation

• Published in: Journal of sound and vibration 2022-10, Vol.537, p.117188, Article 117188
• Main Authors: Weng, Shun, Chen, Zhidan, Yan, Yongyi, Xiao, Chun, Li, Runling, Li, Jiajing
• Format: Article
• Language: English
• Subjects: Fiber beam-column element; Nonlinear analysis; Sensitivity analysis; System identification
• ISSN: 0022-460X
• DOI: 10.1016/j.jsv.2022.117188

•System identification of nonlinear structures subject to earthquake is proposed.•The earthquake input is parameterized by Chebyshev orthogonal polynomials.•The sensitivity with respect to the material parameters and polynomials are derived.•The earthquake input and material parameters can be identified simultaneously. System identification methods are widely developed in structural health monitoring, in which the force or structural damage is identified from a linearised structure. However, the real-world civil infrastructures are generically nonlinear and subject to extreme loading conditions, such as earthquake. This study proposes a system identification method for material constitutive nonlinear structures subject to earthquake, where sensitivity analysis is developed to accelerate the complicated nonlinear system identification. First, the nonlinear structural model based on the material constitutional law is constructed by fiber beam-column elements. The earthquake input is parameterized by Chebyshev orthogonal polynomials in a recognizable form. Afterwards, the dynamic response sensitivities with respect to the constitutive parameters and the orthogonal factors of earthquake excitation are derived to accelerate the system identification from a complex material constitutive model. Finally, the constitutive parameters and the earthquake input are simultaneously identified by an optimization process. Numerical structures subjected to earthquake excitation are employed to verify the accuracy of the proposed method, by which the influence of parameter's order, input intensity and measurement noise is discussed. The proposed method develops Chebyshev parameterization to recognize the earthquake input and sensitivity analysis to accelerate the optimization, which leads to an accurate nonlinear system identification of civil structures.