System identification of civil engineering structures with multiple inputs by decoupling output signals

Jian Li; Manuel Ruiz-Sandoval; Billie F. Spencer Jr.; Amr S. Elnashai

doi:10.1117/12.2044191

8 March 2014 System identification of civil engineering structures with multiple inputs by decoupling output signals

Jian Li, Manuel Ruiz-Sandoval, Billie F. Spencer Jr., Amr S. Elnashai

Proceedings Volume 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014; 90611I (2014) https://doi.org/10.1117/12.2044191
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

System identification of civil engineering structures are often formulated as Multiple-Input, Multiple-Output (MIMO) problems due to the complexity of loading conditions such as differential ground motion, which is also multi-directional in nature. Such MIMO system identification problems are challenging due to strong coupling between the contributions of multiple ground motion inputs to each individual response. Compared with Single-Input, Multiple-Output (SIMO) system identification, MIMO problems are often more computationally complex and error prone. In this paper, a new system identification strategy is proposed in which a more complex MIMO problem is converted into a number of SIMO problems by decoupling the contribution of multiple inputs to the outputs. A QR-factorization based approach is adopted for the decoupling and its accuracy is investigated. The effectiveness of the proposed strategy is demonstrated through applications to a two-span straight bridge and a four-span curved bridge, both are highway bridges.

Citation Download Citation

Jian Li, Manuel Ruiz-Sandoval, Billie F. Spencer Jr., and Amr S. Elnashai "System identification of civil engineering structures with multiple inputs by decoupling output signals", Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90611I (8 March 2014); https://doi.org/10.1117/12.2044191

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