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Heung Fai LAM

City University of Hong Kong (CityU)

九龍

  • City University of Hong Kong (CityU)

SCHOLARLY PAPERS

5

DOWNLOADS

237

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Efficient Bayesian Model Updating with Surrogate Model of a High-Rise Building Based on MCMC and Ambient Data

Number of pages: 38 Posted: 04 Nov 2024
Feng-Liang Zhang, Jiao-Yuan Wei, Yan-Chun Ni and Heung Fai LAM
Harbin Institute of Technology, affiliation not provided to SSRN, Tongji University and City University of Hong Kong (CityU)
Downloads 97 (720,278)

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Bayesian Model updating, Markov chain Monte Carlo method (MCMC), Surrogate model, Ambient vibration, High-rise building

2.

An efficient optimal sensor placement method considering structural parameter uncertainty

Number of pages: 34 Posted: 30 Dec 2025
Zhengyi Fu, Heung Fai LAM and Mujib Olamide Adeagbo
City University of Hong Kong (CityU), City University of Hong Kong (CityU) and Cardiff University
Downloads 57 (1,020,567)

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optimal sensor placement, parameter uncertainty, Modal Identification, Gaussian process regression, MCMC-based Bayesian sampling

3.

Time-Domain Markov Chain Monte Carlo Based Bayesian Model Updating Without Measured Excitation

Number of pages: 45 Posted: 13 Nov 2023
Heung Fai LAM, Zhengyi Fu, Mujib Olamide ADEAGBO and Jia Hua YANG
City University of Hong Kong (CityU), City University of Hong Kong (CityU), City University of Hong Kong (CityU) and Guangxi University
Downloads 49 (1,097,529)

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Markov chain Monte Carlo, Bayesian model updating, damage detection, Response reconstruction, modal decomposition.

4.

Bayesian framework for distinguishing single from dual structural modes in two closely spaced spectral peaks

Number of pages: 38 Posted: 10 Feb 2026
Zhengyi Fu, Heung Fai LAM, Qing SUN, Sitong WEI, Yan Ming Zhu, Chi ZHANG, Mingrui ZHU and You Hua Su
City University of Hong Kong (CityU), City University of Hong Kong (CityU), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 21 (1,470,786)

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Closely spaced spectral peaks, single or dual structural modes, Bayesian modal component sampling, Bayesian model class selection

5.

Neutralising the curse of dimensionality: a neural transport-preconditioned MCMC framework for Bayesian structural identification

Number of pages: 41 Posted: 22 May 2026
Jun Hu and Heung Fai LAM
Wuhan University of Technology and City University of Hong Kong (CityU)
Downloads 13 (1,566,597)

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