@inproceedings{cf63a4779ed1434cad3b0b1c824ff352,
title = "System identification of civil engineering structures with multiple inputs by decoupling output signals",
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.",
keywords = "Curved bridge, Decoupled output, Earthquake response, Highway bridge, Multiple inputs, System identification",
author = "Jian Li and Manuel Ruiz-Sandoval and Spencer, {B F} and Elnashai, {Amr S.}",
year = "2014",
month = jan
day = "1",
doi = "10.1117/12.2044191",
language = "English (US)",
isbn = "9780819499875",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
booktitle = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014",
note = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 ; Conference date: 10-03-2014 Through 13-03-2014",
}