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Dive into the research topics where Jia-Hua Yang is active.

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Featured researches published by Jia-Hua Yang.


International Journal of Structural Stability and Dynamics | 2015

Ambient Vibration Test, Modal Identification and Structural Model Updating Following Bayesian Framework

Jia-Hua Yang; H. F. Lam; Jun Hu

Structural health monitoring (SHM) of civil engineering structures based on vibration data includes three main components: ambient vibration test, modal identification and model updating. This paper discussed these three components in detail and proposes a general framework of SHM for practical application. First, a fast Bayesian modal identification method based on Fast Fourier Transform (FFT) is introduced for efficiently extracting modal parameters together with the corresponding uncertainties from ambient vibration data. A recently developed Bayesian model updating method using Markov chain Monte Carlo simulation (MCMCS) is then discussed. To illustrate the performance of the proposed modal identification and model updating methods, a scale-down transmission tower is investigated. Ambient vibration test is conducted on the target structure to obtain modal parameters. By using the measured modal parameters, model updating is carried out. The MCMC-based Bayesian model updating method can efficiently eva...


Australian Journal of Multi-disciplinary Engineering | 2013

Model Updating Based Structural Damage Detection of Transmission Tower: Experimental Verification by a Scaled-Model

Jia-Hua Yang; H. F. Lam

Abstract This paper reports a feasibility study on the use of measured vibration data in the detection of damaged braces of a transmission tower by following a model-based approach. A three-dimension finite element model program was developed in MATLAB for the computer modelling of the target transmission tower in this paper. A newly developed substructure-based structural model-updating scheme is employed to identify the stiffness distributions of the target transmission tower utilising the measured natural frequencies and mode shapes. By comparing the identified stiffness distributions of the undamaged and possibly damaged structure, the damage locations and the corresponding damage extents can be estimated. The contributions of this paper are not only on the development of the substructure-based model updating scheme but also on the verification of the proposed methodology through measured data from a scaled transmission tower model under laboratory conditions.


Engineering Structures | 2015

Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm

H. F. Lam; Jia-Hua Yang; Siu-Kui Au


Earthquakes and Structures | 2015

Bayesian structural damage detection of steel towers using measured modal parameters

H. F. Lam; Jia-Hua Yang


Engineering Structures | 2017

Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building

H. F. Lam; Jun Hu; Jia-Hua Yang


Procedia Engineering | 2011

How to Install Sensors for Structural Model Updating

H. F. Lam; Jia-Hua Yang; Q. Hu


Structural Control & Health Monitoring | 2018

Operational modal identification and finite element model updating of a coupled building following Bayesian approach

Jun Hu; H. F. Lam; Jia-Hua Yang


Engineering Structures | 2017

Identification of rail-sleeper-ballast system through time-domain Markov chain Monte Carlo-based Bayesian approach

H. F. Lam; Stephen Adeyemi Alabi; Jia-Hua Yang


Structural Control & Health Monitoring | 2018

Markov chain Monte Carlo-based Bayesian method for structural model updating and damage detection

H. F. Lam; Jia-Hua Yang; Siu-Kui Au


Procedia Engineering | 2011

Crack Detection of Thin Plate Structures Utilizing Measured Vibration

H. F. Lam; Q. Hu; Jia-Hua Yang

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H. F. Lam

City University of Hong Kong

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Jun Hu

City University of Hong Kong

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Q. Hu

City University of Hong Kong

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Siu-Kui Au

University of Liverpool

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