An efficient algorithm for simultaneous identification of time-varying structural parameters and unknown excitations of a building structure

Qin, Huang; Xu, You Lin; Liu, H. J.

doi:10.1016/j.engstruct.2015.04.019

Cited by 32 publications

(22 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HHT is an efficient signal processing method 7 that has been applied to modal identification of time‐variant systems 8 . The essence of HHT is to utilize the empirical mode decomposition (EMD) technique to decompose a complex signal into so‐called intrinsic mode functions (IMFs) with a trend, and then apply the Hilbert transform (HT) to the IMFs to obtain instantaneous frequency 9,10 .…”

Section: Methodsmentioning

confidence: 99%

Effects of time‐variant modal frequencies of high‐rise buildings on damping estimation

Zhou

2020

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

This paper proposes a method to identify the time-variant modal frequencies of high-rise buildings and applies the method to the field measurements from a 68-story high-rise building during Super Typhoon Mangkhut (September 16, 2018). The analyzed results show that the fundamental natural frequencies of the monitored building first gradually decreased by about 9% and then returned to 94% of the original values over time. Moreover, the effects of timevariant modal frequencies on damping estimation of high-rise buildings are investigated by a comprehensive parametric study. The results indicate that the change rate of frequency has significant effects on the damping estimation by the conventional modal identification methods such as the random decrement technique and Bayesian spectral density approach. Accordingly, an error model for describing the relationship between the estimation error of damping ratio and main parameters of time-variant modal frequencies is established. Then, an error model-based correction method is proposed for the conventional damping identification methods to eliminate the estimation errors of damping ratios due to the time-variant modal frequencies, which is proved to be effective through Monte Carlo simulation and is further applied to identify the time-variant damping ratios of the monitored high-rise building. This paper aims to further the understanding of structural dynamic properties of high-rise buildings during typhoons and provide accurate estimation of structural modal parameters.

show abstract

Section: Methodsmentioning

confidence: 99%

Effects of time‐variant modal frequencies of high‐rise buildings on damping estimation

Zhou

2020

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

show abstract

“…In addition, some other time-domain-based time-varying system identification techniques have also been developed in literature. [21][22][23][24] However, since this study mainly focuses on the time-frequency-based approaches for time-varying system identification, these time-domain-based methods are not specifically introduced in details.…”

Section: Introductionmentioning

confidence: 99%

“…To extract the individual frequency components, Feldman 19,20 developed a new signal decomposition method named as Hilbert vibration decomposition (HVD), and the method has been successfully applied in mechanical engineering vibration signal analysis. In addition, some other time‐domain‐based time‐varying system identification techniques have also been developed in literature 21–24 . However, since this study mainly focuses on the time–frequency‐based approaches for time‐varying system identification, these time‐domain‐based methods are not specifically introduced in details.…”

Section: Introductionmentioning

confidence: 99%

Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition

Hao

2021

Struct Control Health Monit

View full text Add to dashboard Cite

show abstract

“…However, implementation of optimization at every time instance is needed to renew the adaptive factor matrix, leading to be quite time‐consuming which is inappropriate to perform structural control in real time. Therefore, Huang et al improved with an efficient algorithm by introducing a time‐varying correction factor matrix, and the authors also presented an effective approach for tracking the abrupt change of structural element stiffness . However, these algorithms are applicable only for abrupt varying structural parameters.…”

Section: Introductionmentioning

confidence: 99%

Synthesize identification and control for smart structures with time‐varying parameters under unknown earthquake excitation

Lei

Huang

2020

Struct Control Health Monit

View full text Add to dashboard Cite

Summary The synthesis of structural identification with vibration control is cost‐effective and beneficial for developing smart building structures. In the past several decades, techniques have been put forward for the combination of structural identification and vibration control. However, it is still a challenging task to synthesize identification and vibration control of time‐varying structures under unknown earthquake excitation. First, structural dynamic responses collected by a structural health monitoring (SHM) system are absolute responses under unknown earthquake excitation, so existing identification approaches for unknown external excitations are not applicable for this situation. Moreover, it is essential to have an efficient algorithm for accurately tracking the various scenarios of time‐varying structural physical parameters with inexpensive computation to ensure the real‐time performance requested by structural vibration control. In this paper, an algorithm is put forward to tackle this challenging problem. It is proposed to treat structural time‐varying effect as “virtual unknown inputs” to the corresponding time‐invariant structure. A generalized extended Kalman filtering with unknown input (GEKF‐UI) is proposed to circumvent the limitations of the existing EKF‐UI approaches. The proposed GEKF‐UI can simultaneously identify structural system, unknown earthquake excitation, and the “virtual unknown inputs” using only partially measured structural absolute responses. Then, the identified structural state is synthesized in real time with the instantaneous optimal control strategy for optimal semiactive control provided by magnetorheological dampers. Therefore, the proposed algorithm can track various structural time‐varying with much less computation, which is more suitable for synthesis with structural control compared with other existing approaches. Some numerical cases of synthesizing identification and vibration control of various type time‐varying structures under unknown earthquake motion are adopted to investigate the feasibilities of the proposed algorithm.

show abstract

An efficient algorithm for simultaneous identification of time-varying structural parameters and unknown excitations of a building structure

Cited by 32 publications

References 43 publications

Effects of time‐variant modal frequencies of high‐rise buildings on damping estimation

Effects of time‐variant modal frequencies of high‐rise buildings on damping estimation

Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition

Synthesize identification and control for smart structures with time‐varying parameters under unknown earthquake excitation

Contact Info

Product

Resources

About