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Data‐driven identification and modeling of earthquake‐excited building structures regarding soil‐structure interaction
Author(s) -
Gong Nan,
Li Peizhen,
Shan Jiazeng,
Ouyang Yuting
Publication year - 2020
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.1808
Subject(s) - parametric statistics , reliability (semiconductor) , stiffness , identification (biology) , soil structure interaction , system identification , acceleration , scale (ratio) , computer science , structural engineering , parametric model , engineering , algorithm , data mining , finite element method , mathematics , statistics , physics , measure (data warehouse) , power (physics) , botany , classical mechanics , quantum mechanics , biology
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.