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J
Jia‐Hua Yang
Guangxi University
15
H指数
45
论文数
821
被引数
0
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16
发表时间
发表时间
IF
被引数
An efficient Bayesian method for identifying large structural systems in eigen-space using reduced-order sub-structures
一种在特征空间中使用降阶子结构识别大型结构系统的高效贝叶斯方法
Engineering Structures
IF
6.4
2026-09-22
0
PRE
AI
Yanlong Peng; Zeng-Yu Liu; Jia-Hua Yang; Zhi Huang; Heung-Fai Lam
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Brace damage identification of a transmission tower via a sparse Bayesian learning method with variational inference and enhanced PSO algorithm
通过变分推断和增强型PSO算法的稀疏贝叶斯学习方法对输电塔斜撑损伤进行识别
STRUCTURES
IF
4.3
2025-07-01
0
PRE
AI
Hu, Qin; Zhou, Nan-Fei; Lam, Heung-Fai; Yang, Jia-Hua; Lin, Zhao-Sheng; Zhu, Hong-Ping
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Development of an adaptive model class for considering spatiotemporal correlation in Bayesian model updating and system identification
在贝叶斯模型更新和系统识别中考虑时空相关性的自适应模型类的开发
ENGINEERING STRUCTURES
IF
6.4
2025-03-01
0
PRE
AI
Adeagbo, Mujib Olamide; Liu, Zengyu; Yang, Jia-Hua; Huang, Yong; Lam, Heung-Fai
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Improvement for an optimization algorithm and its application in structural model updating
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
IF
4.3
2025-02-15
0
PRE
AI
An, Yonghui; Zhong, Yue; Yang, Jia-Hua; Duan, Yuanfeng; Ou, Jinping
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Bayesian model updating of a 250 m super-tall building utilizing an enhanced Markov chain Monte Carlo simulation algorithm
基于增强马尔可夫链蒙特卡罗模拟算法的250 m超高层建筑贝叶斯模型修正
CASE STUDIES IN CONSTRUCTION MATERIALS
IF
6.6
2024-12-01
0
OA
AI
Dong, Yu-Xia; Zhang, Feng-Liang; Yang, Yan-Ping; Yang, Jia-Hua
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Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2024-01-01
2
PRE
AI
Yang, Jia-Hua; Liu, Wen-Yue; An, Yong-Hui; Lam, Heung-Fai
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A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures
ENGINEERING STRUCTURES
IF
6.4
2023-11-01
5
OA
AI
Liu, Zeng-Yu; Yang, Jia-Hua; Lam, Heung-Fai; Peng, Lin-Xin
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Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
开发用于复杂动态系统高效贝叶斯模型更新的两阶段自适应MCMC方法
ENGINEERING STRUCTURES
IF
6.4
2022-11-01
19
PRE
AI
Yang, Jia-Hua; Lam, Heung-Fai; An, Yong-Hui
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An innovative Bayesian system identification method using autoregressive model
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2019-11-01
22
PRE
AI
Yang, Jia-Hua; Lam, Heung-Fai
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Bayes-Mode-ID: A Bayesian modal-component-sampling method for operational modal analysis
贝叶斯模态ID: 一种用于运行模态分析的贝叶斯模态分量采样方法
ENGINEERING STRUCTURES
IF
6.4
2019-06-01
20
PRE
AI
Yang, Jia-Hua; Lam, Heung-Fai; Beck, James L.
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Bayesian operational modal analysis and assessment of a full-scale coupled structural system using the Bayes-Mode-ID method
ENGINEERING STRUCTURES
IF
6.4
2019-05-01
13
PRE
AI
Lam, Heung-Fai; Yang, Jia-Hua; Beck, James L.
分享
收藏
Operational Modal Analysis and Bayesian Model Updating of a Coupled Building
耦合建筑物的运行模态分析和贝叶斯模型更新
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
IF
3.4
2018-12-20
12
PRE
AI
Hu, Jun; Yang, Jia-Hua
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Identification of rail-sleeper-ballast system through time-domain Markov chain Monte Carlo-based Bayesian approach
ENGINEERING STRUCTURES
IF
6.4
2017-06-01
37
PRE
AI
Lam, Heung-Fai; Alabi, Stephen Adeyemi; Yang, Jia-Hua
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Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building
ENGINEERING STRUCTURES
IF
6.4
2017-02-01
77
PRE
AI
Lam, Heung-Fai; Hu, Jun; Yang, Jia-Hua
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Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm
ENGINEERING STRUCTURES
IF
6.4
2015-11-01
133
PRE
AI
Lam, Heung-Fai; Yang, Jiahua; Au, Siu-Kui
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Ambient Vibration Test, Modal Identification and Structural Model Updating Following Bayesian Framework
遵循贝叶斯框架的环境振动测试,模态识别和结构模型更新
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
IF
3.4
2015-08-31
48
PRE
AI
Yang, J.; Lam, H. F.; Hu, J.
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研究方向
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合作学者
合作期刊
J
Jinping Ou
H 指数: 77 · 论文数: 843
J
James L. Beck
H 指数: 69 · 论文数: 417
S
Siu‐Kui Au
H 指数: 59 · 论文数: 1.1K
H
Heung‐Fai Lam
H 指数: 43 · 论文数: 220
Y
Yong Huang
H 指数: 28 · 论文数: 157
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