Hongwei Huang

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.

TL;DR: A novel image recognition algorithm for semantic segmentation of crack and leakage defects of metro shield tunnel using hierarchies of features extracted by fully convolutional network (FCN) can be employed to rapidly and accurately recognize defects for structure health monitoring and maintenance of metro Shield tunnels.

TL;DR: An effective solution to this tail mismatch problem using a modified orthogonalization technique that reduces the degree of shuffling within columns containing empirical realizations of the K–L random variables is proposed.

TL;DR: In this article, an EKF-UI approach with unknown inputs (excitations) is proposed to identify the structural parameters, such as the stiffness, damping and other nonlinear parameters, as well as the unmeasured excitations.

TL;DR: In this paper, a real-coded genetic algorithm (RCGA) is proposed by combining two new crossover and mutation operators for improving the performance of optimization, and the optimization process, using the new RCGA with a uniform sampling initialization method, is carried out to obtain the soil parameters.