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Input and State Estimation for Earth...

Taher, Sdiq Anwar.

Input and State Estimation for Earthquake-Excited Building Structures Using Acceleration Measurements.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Input and State Estimation for Earthquake-Excited Building Structures Using Acceleration Measurements.
Author:	Taher, Sdiq Anwar.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2018
Description:	55 p.
Notes:	Source: Masters Abstracts International, Volume: 57-06.
Notes:	Adviser: Jian Li.
Contained By:	Masters Abstracts International57-06(E).
Subject:	Civil engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10821716
ISBN:	9780438130210

Input and State Estimation for Earthquake-Excited Building Structures Using Acceleration Measurements.
Taher, Sdiq Anwar.

Input and State Estimation for Earthquake-Excited Building Structures Using Acceleration Measurements. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 55 p.

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--University of Kansas, 2018.

Estimating both state and ground input for earthquake-excited building structures using a limited number of absolute acceleration measurements is critical to post-disaster damage assessment and structural evaluation. Input estimation in this case is particularly challenging due to the lack of direct feedthrough term, which renders the system weakly observable for its input. Hence, input estimation in this scenario is sensitive to modeling error and measurement noise. In this thesis, a two-step strategy is proposed to estimate both state (displacement and velocity) and ground input using a limited number of absolute acceleration measurements for building structures. First, the ground input is estimated by solving a least squares problem with Tikhonov regularization and Bayesian inference. In the second step, floor states are estimated using Kalman filter with input obtained from the first step, the least squares with Tikhonov regularization and Bayesian inference. The proposed strategy was numerically and experimentally evaluated based on shear-type building structures.

ISBN: 9780438130210Subjects--Topical Terms:

195981
Civil engineering.

Input and State Estimation for Earthquake-Excited Building Structures Using Acceleration Measurements.
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520 $a Estimating both state and ground input for earthquake-excited building structures using a limited number of absolute acceleration measurements is critical to post-disaster damage assessment and structural evaluation. Input estimation in this case is particularly challenging due to the lack of direct feedthrough term, which renders the system weakly observable for its input. Hence, input estimation in this scenario is sensitive to modeling error and measurement noise. In this thesis, a two-step strategy is proposed to estimate both state (displacement and velocity) and ground input using a limited number of absolute acceleration measurements for building structures. First, the ground input is estimated by solving a least squares problem with Tikhonov regularization and Bayesian inference. In the second step, floor states are estimated using Kalman filter with input obtained from the first step, the least squares with Tikhonov regularization and Bayesian inference. The proposed strategy was numerically and experimentally evaluated based on shear-type building structures.
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