Jinshan Huang

• Doctor of Engineering
• Xiamen University

Distributed dynamic loads (DDLs) have attracted much attention due to their widespread existence in engineering. However, it remains difficult to measure them directly. Existing DDL identification algorithms have some limitations in terms of dimensionality reduction of DDLs, model order reduction, and robustness. In this study, these issues were ad...

Indirect identification approaches through structural responses have proven effective for wind load estimation in real-world engineering. Currently, methods for identifying wind loads mainly rely on theoretical inverse identification, with rare research based on the mapping relationship between structural responses and wind loads through machine le...

Extended Kalman filtering with unknown input (EKF-UI) is often used to estimate the structural system state, parameters and unknown input in structural health monitoring. However, the real-time performance of EKF-UI is bound to whether the measurement equation has a direct feedthrough of unknown input, which great limits its application scope. Base...

It is necessary to investigate the identification of structural systems and unknown inputs under non‐Gaussian measurement noises. In recent years, a few scholars have proposed methods of particle filter (PF) with unknown input for such task. However, these PF with unknown input require that unknown inputs appear in structural measurement equations....

Substructure identification with the idea of divide and conquer has played a significant role in the identification of large-scale structures. Nevertheless, most existing substructure identification methods are only used for linear structures. In addition, it is often required that the information of substructural interface forces are available or...

Currently, most wavelet multiresolution based methods for the identification of time-varying structural physical parameters request the full measurements of all structural responses. All physical parameters including time-varying and time-invariant parameters are expanded by wavelet multiresolution, so it is only applicable to structures with a few...

Much progress has been made in the assessment of structural damage and unknown input (UI) using incomplete and noisy measurement signals. The unscented Kalman filter (UKF) has proved to be a sophisticated approach to this task. A novel method using UKF with unknown input (UKF-UI) for recursive identification of a state-input system has been propose...

It is of a great significance to identify the structural state of high-rise buildings under the action of earthquake. Due to many degrees of freedom (DOFs), it is more difficult to identify the structural state and performance parameters of high-rise shear frames, especially under unknown earthquake excitations. Based on the generalized extended Ka...

Accurate and real-time information of structural states and earthquake input is the prerequisite for structural seismic safety assessment and vibration control. When the earthquake input to a structure is not measured, it has been tried to identify structural state and the unknown earthquake input using the measured structural responses as an inver...

Magnetorheological (MR) damper is efficient to mitigate vibration of the structure subject to severe excitations. The identification of nonlinear characteristics of MR damper has attracted increasing attention. However, it is still challenging to identify model‐free hysteresis of MR dampers embedded in structures using only incomplete measurements...

The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is available. In recent years, some improved extended Kalman filter methods applied with unknown inputs h...

The synthesis of structural health monitoring with vibration control is cost-effective and beneficial for developing smart structures. In the last decade, some synthetic algorithms have been proposed for combining system identification and vibration control. Among them, an approach has been developed recently for the synthesis of identification and...

Practical non-synoptic fluctuating wind often exhibits nonstationary features and should be modeled as nonstationary random processes. Generally, the coherence function of the fluctuating wind field has time-varying characteristics. Some studies have shown that there is a big difference between the fluctuating wind field of the coherent function mo...

The exact information of seismic excitation and structural state is a prerequisite for structural seismic safety assessment and vibration control. When the seismic excitation to a structure is not measured, the seismic excitation can be identified as an inversed problem from measured structural responses. Although some relevant approaches have been...

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 vi...

The synthesis of structural health monitoring and vibration control is important in order to provide facilities for constructing smart structures. In recent years, some techniques have been developed to integrate structural identification and optimal vibration control. However, it is still challenging to integrate the identification and vibration c...