[HTML][HTML] Indirect damage detection for bridges using sensing and temporarily parked vehicles

Z Li, Y Lan, W Lin - Engineering Structures, 2023 - Elsevier
Due to the influence of many factors such as vehicle properties, road roughness, and
external noises, accurate indirect identification of the bridge's frequencies is challenging …

Bayesian operational modal analysis with interactive optimization for model updating of large-size UHV transmission towers

Y Zhu, Q Sun, C Zhao, H Qi, Y Su - Journal of Structural Engineering, 2023 - ascelibrary.org
Up to date, few studies on the dynamic characteristics analysis and model updating of large-
size ultrahigh-voltage (UHV) transmission towers with long cross arms have been conducted …

Using Bayesian updating for monopile offshore wind turbines monitoring

P Xu, J Chen, J Li, S Fan, Q Xu - Ocean Engineering, 2023 - Elsevier
Digital twins (DTs) are thought to be promising tools for offshore wind turbines (OWTs) in
real-time updating, optimized design, intelligent operation, and maintenance. When creating …

Active learning aided Bayesian nonparametric general regression for model updating using modal data

WJ Zhang, KV Yuen, WJ Yan - Mechanical Systems and Signal Processing, 2023 - Elsevier
In this paper, we propose an active learning aided Bayesian nonparametric general
regression (ALBNGR) network for structural model updating using modal data. The …

Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain

JH Yang, WY Liu, YH An, HF Lam - Mechanical Systems and Signal …, 2024 - Elsevier
For complex engineering structures, it is important to systematically select a model class
among various choices and search the complicated parameter space, while also quantifying …

The heterogeneous effects of transportation infrastructure on trade-embodied CO2 transfer: a multi-scale perspective

C Lu, Q Du - Energy, 2024 - Elsevier
This paper investigates the heterogeneous impact of transportation infrastructure on trade-
embodied CO 2 emission (TEC) transfer. First, a multi-scale input-output (MSIO) model is …

Bayesian uncertainty quantification of modal parameters and RRF identification of transmission towers with limited measured vibration data

YH Su, YM Zhu, C Zhao, HF Lam, Q Sun - Engineering Structures, 2024 - Elsevier
The resonant response factor (RRF) sensitive to modal parameters, including the damping
ratio and frequency, is a critical parameter for wind-resistant design of extra high voltage …

Hierarchical Bayesian calibration of deck deflection models using distributed fiber optic strain data

PT Brewick - Engineering Structures, 2024 - Elsevier
A naval hovercraft was outfitted with a distributed fiber optic sensing system (FOSS) on its
cargo deck in which two fibers were placed along orthogonal axes. A series of trucks were …

[HTML][HTML] Construction of environmental vibration prediction model for subway transportation based on machine learning algorithm and database technology

X Zhou - Scientific Reports, 2024 - nature.com
Vibrations generated in the metro transport environment are mainly caused by, vibrations
generated by the interaction between the metro and the track during operation. and the …

[HTML][HTML] Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling

S Kakhaia, P Zun, D Ye, V Krzhizhanovskaya - Reliability Engineering & …, 2023 - Elsevier
Disorders of coronary arteries lead to severe health problems such as atherosclerosis,
angina, heart attack and even death. Considering the clinical significance of coronary …