Data‐driven identification and modeling of earthquake‐excited building structures regarding soil‐structure interaction. (27th September 2020)

• Record Type: Journal Article
• Authors: Gong, Nan; Li, Peizhen; Shan, Jiazeng; Ouyang, Yuting
• Is Part Of: Structural design of tall and special buildings. Volume 29:Number 18(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-09-27
• Subjects: data‐driven modeling -- decentralized substructure -- differential evolution -- earthquake -- soil‐structure interaction -- system identification; Tall buildings -- Design and construction -- Periodicals; Structural design -- Periodicals; 690.1
• DOI: 10.1002/tal.1808
• Languages: English
• ISSNs: 1541-7794

Abstract

Summary: Data‐driven identification and modeling of the integrated soil‐structure interaction (SSI) structure system are significantly important for real‐world structures subjected to earthquakes in various engineering disciplines. The representative mechanical modeling for the overall system with SSI effect is firstly presented, and the differential evolution algorithm is introduced for model‐based iterative identification on physical parameters including stiffness and damping coefficients. The performance and reliability of the proposed methodology are systematically investigated through a numerical model‐based parametric study. Incorporation of the model selection, the incomplete measurement and noise effect on the proposed method is revealed and discussed subsequently. Then, the present method is experimentally investigated and validated using two illustrative examples, corresponding to a 12‐story large‐scale structural model and a nine‐story real‐world building structure. The performance in terms of feasible estimation and reliable prediction by using the optimally identified physical model is demonstrated through the time history comparison of measurable acceleration responses in different seismic events.