Search Results - "Ni, Y.Q."

Wind pressure data reconstruction using neural network techniques: A comparison between BPNN and GRNN by Ni, Y.Q., Li, M.

“…•Wind pressure monitoring data reconstruction in sensor fault is addressed.•Bayesian-regularized neural network (NN) model performs best in three NN…”
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Bayesian dynamic forecasting of structural strain response using structural health monitoring data by Wang, Y.W., Ni, Y.Q.

“…Summary Research on structural health monitoring (SHM) is nowadays evolving from SHM‐based diagnosis towards SHM‐based prognosis. The structural strain…”
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Temperature effects on vision measurement system in long-term continuous monitoring of displacement by Zhou, H.F., Zheng, J.F., Xie, Z.L., Lu, L.J., Ni, Y.Q., Ko, J.M.

“…Videogrammetry has been recognized as a promising method for monitoring the dynamics of wind turbines. On the way forward, the environmental effects on the…”
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Bayesian approaches for evaluating wind‐resistant performance of long‐span bridges using structural health monitoring data by Wang, Y.W., Ni, Y.Q., Zhang, Q.H., Zhang, C.

“…Summary Reliable estimation of wind‐induced displacement responses of long‐span bridges is critical to evaluating their wind‐resistant performance. In this…”
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Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation by Chan, T.H.T., Yu, L., Tam, H.Y., Ni, Y.Q., Liu, S.Y., Chung, W.H., Cheng, L.K.

“…The rapid expansion of the optical fiber telecommunication industry due to the explosion of the Internet has substantially driven down the cost of optical…”
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Optimal sensor placement for damage detection of bridges subject to ship collision by Guo, Y.L., Ni, Y.Q., Chen, S.K.

“…Summary Ship collisions threaten the safety of bridges over navigable waterways in modern times. Postcollision damage and condition assessment is thus of…”
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Assessment of stochastically updated finite element models using reliability indicator by Hua, X.G., Wen, Q., Ni, Y.Q., Chen, Z.Q.

“…Finite element (FE) model updating techniques have been a viable approach to correcting an initial mathematical model based on test data. Validation of the…”
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Stochastic vibration response of a sandwich beam with nonlinear adjustable visco-elastomer core and supported mass by Ying, Z.G, Ni, Y.Q, Duan, Y.F

“…The stochastic vibration response of the sandwich beam with the nonlinear adjustable visco-elastomer core and supported mass under stochastic support motion…”
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Neuro-control of cable vibration using semi-active magneto-rheological dampers by Ni, Y.Q., Chen, Y., Ko, J.M., Cao, D.Q.

“…A neuro-control method is proposed for semi-active vibration control of stay cables using magneto-rheological (MR) dampers. A finite element model with…”
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Flutter analysis of long-span bridges using ANSYS by Hua, X.G., Chen, Z.Q., Ni, Y.Q., Ko, J.M.

“…This paper presents a novel finite element (FE) model for analyzing coupled flutter of long-span bridges using the commercial FE package ANSYS. This model…”
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IDENTIFICATION OF NON-LINEAR HYSTERETIC ISOLATORS FROM PERIODIC VIBRATION TESTS by Ni, Y.Q., Ko, J.M., Wong, C.W.

“…This paper addresses the parameter identification of friction-type hysteretic isolators based on the versatile Bouc–Wen differential model. A frequency domain…”
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An accurate substructural synthesis approach to random responses by Ying, Z.G., Zhu, W.Q., Ye, S.Q., Ni, Y.Q.

“…An accurate substructural synthesis method including random responses synthesis, frequencyresponse functions synthesis and mid-order modes synthesis is…”
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Cover Image by Wang, Y.W., Ni, Y.Q.

“…The cover image is based on the Research Article Bayesian Dynamic Forecasting of Structural Strain Response Using Structural Health Monitoring Data by Y.W…”
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Cover Image by Wang, Y.W., Ni, Y.Q.

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A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data by Ni, Y.Q., Wang, Y.W., Zhang, C.

“…•A Bayesian method for condition assessment of bridge expansion joints is proposed.•A reliability-based anomaly index is formulated to evaluate probability of…”
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Strain monitoring based bridge reliability assessment using parametric Bayesian mixture model by Ni, Y.Q., Chen, R.

“…•A structural health monitoring (SHM)-based bridge reliability assessment method.•Representation of multimodal stress responses by parametric Bayesian mixture…”
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An accurate substructural synthesis approach to random responses by Ying, Z.G, Zhu, W.Q, Ye, S.Q, Ni, Y.Q

“…An accurate substructural synthesis method including random responses synthesis, frequency-response functions synthesis and mid-order modes synthesis is…”
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Stochastic optimal coupling-control of adjacent building structures by Ying, Z.G., Ni, Y.Q., Ko, J.M.

“…A stochastic optimal coupling-control method for adjacent building structures is proposed. The coupled structures with control devices under random seismic…”
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Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model by Wang, Y.W., Ni, Y.Q., Wang, X.

“…•A wheel defect detection methodology is proposed using Bayesian dynamic model.•The proposed approach enables probabilistic estimation of damage extent and…”
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Experimental study on identification of stiffness change in a concrete frame experiencing damage and retrofit by Zhou, X.T, Ko, J.M, Ni, Y.Q

“…This paper describes an experimental study on structural health monitoring of a 1:3-scaled one-story concrete frame subjected to seismic damage and retrofit…”
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