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Journal ArticleDOI

Identification of Tall Shear Buildings under Unknown Seismic Excitation with Limited Output Measurements

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TLDR
In this paper, an algorithm based on the extended Kalman estimator approach is proposed for the identification of structural parameters and unknown excitation of tall shear-type buildings with only partial measurements of structural absolute acceleration responses.
Abstract
Due to the fact that some structural external excitations such as earthquakes and wind forces can not be accurately measured under actual operating conditions, it is necessary to investigate algorithms for structural identification under unknown earthquakes. In this paper, an algorithm based on the extended Kalman estimator approach is proposed for the identification of structural parameters and unknown excitation of tall shear-type buildings with only partial measurements of structural absolute acceleration responses. The equation of motion of a tall shear building under ground motion is established in the absolute co-ordinate system, in which the ground-motion input is applied to the 1st floor of the building as an unknown excitation. Based on substructure approach, the tall building is decomposed into substructures. For each substructure above the 1st floor, substructural relative responses and parameters are identified by extended Kalman estimator. For the substructure containing the 1st floor, it is ...

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Citations
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Journal ArticleDOI

Sensor Placement Optimization in Structural Health Monitoring Using Cluster-in-Cluster Firefly Algorithm

TL;DR: The results reveal that the CiCFA provides a better sensor configuration than the genetic algorithm with high efficiency and high stability and can be applied in the OWSP problem.
Journal ArticleDOI

Simultaneous Identification of Structural Parameter and External Excitation with an Improved Unscented Kalman Filter

TL;DR: In this paper, an improved unscented Kalman filter (UKF) is proposed to identify the structural parameters and coefficients of the orthogonal decomposition only based on the acceleration measurements.
Journal ArticleDOI

A general synthesis of identification and vibration control of building structures under unknown excitations

TL;DR: A generalized extended Kalman filtering with unknown input (GEKf-UI) is proposed to circumvent the limitations of previous EKF-UI approaches and can simultaneously identify structural system and unknown excitation when structural measurement/observation equations contain or do not contain the unknown excitations.
Journal ArticleDOI

Generalized algorithms for the identification of seismic ground excitations to building structures based on generalized Kalman filtering under unknown input

TL;DR: Two generalized algorithms are proposed for the identification of seismic ground excitation to multi-story and tall buildings, respectively, which are more general than the existing identification approaches based on Kalman filter with unknown input in the deployments of accelerometers in the building structure.
References
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Journal ArticleDOI

Structural Identification by Extended Kalman Filter

TL;DR: In this article, a weighted global iteration procedure with an objective function is proposed for stable estimation, being incorporated into the extended Kalman filter algorithm, which is applied to system identification problems of seismic structural systems.
Journal ArticleDOI

An adaptive extended Kalman filter for structural damage identification

TL;DR: In this paper, an adaptive tracking technique based on the extended Kalman filter approach is proposed to identify the structural parameters and their changes when vibration data involve damage events, which is capable of tracking the changes of system parameters from which the event and severity of structural damage may be detected on-line.
Journal ArticleDOI

Structural-System Identification. I: Theory

TL;DR: In this article, a number of structural-identification algorithms are reviewed and applied to the identification of structural systems subjected to earthquake excitations, and the performance of the various identification algorithms is critically assessed, and guidelines are obtained regarding their suitability to various engineeri...
Journal ArticleDOI

Substructural identification using neural networks

TL;DR: This study presents a method for estimating the stiffness parameters of a complex structural system by using a backpropagation neural network to overcome the issues associated with many unknown parameters in a large structural system.
Journal ArticleDOI

Estimation of structural parameters in time domain: A substructure approach

TL;DR: In this paper, a substructure approach is used to estimate the stiffness and damping coefficients of structures from measurement of dynamic responses, and the structures are decomposed into smaller subsystems for which state and observation equations are formulated and solved by the method of extended Kalman filter with a weighted global iteration algorithm.
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